On the public citation graph
The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI
0 signed · 243 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1522-2586(199902)9:2<233::aid-jmri13>3.0.co;2-vopenalex-snapshot
Optimization of fast acquisition methods for whole-brain relative cerebral blood volume (rCBV) mapping with susceptibility contrast agents
inferredcites →https://doi.org/10.1002/(sici)1522-2586(199908)10:2<109::aid-jmri1>3.0.co;2-#openalex-snapshot
Measurement of cerebral perfusion with dual‐echo multi‐slice quantitative dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/(sici)1522-2594(199902)41:2<343::aid-mrm19>3.0.co;2-topenalex-snapshot
Maximum likelihood estimation of cerebral blood flow in dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/(sici)1522-2594(199907)42:1<167::aid-mrm22>3.0.co;2-qopenalex-snapshot
Cerebral blood flow measurement by dynamic contrast MRI using singular value decomposition with an adaptive threshold
inferredcites →https://doi.org/10.1002/(sici)1522-2594(200004)43:4<559::aid-mrm10>3.0.co;2-nopenalex-snapshot
Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: Comparison of methodologies
inferredcites →https://doi.org/10.1002/(sici)1522-2594(200005)43:5<691::aid-mrm11>3.0.co;2-bopenalex-snapshot
Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques
inferredcites →https://doi.org/10.1002/1522-2594(200006)43:6<845::aid-mrm10>3.0.co;2-jopenalex-snapshot
Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients
inferredcites →https://doi.org/10.1002/1522-2594(200009)44:3<466::aid-mrm18>3.0.co;2-mopenalex-snapshot
Delay and dispersion effects in dynamic susceptibility contrast MRI: Simulations using singular value decomposition
inferredcites →https://doi.org/10.1002/jmri.1880070113openalex-snapshot
Modeling tracer kinetics in dynamic Gd‐DTPA MR imaging
inferredcites →https://doi.org/10.1002/jmri.1880070313openalex-snapshot
Signal‐to‐noise analysis of cerebral blood volume maps from dynamic NMR imaging studies
inferredcites →https://doi.org/10.1002/jmri.20206openalex-snapshot
Quantitative cerebral perfusion using the PRESTO acquisition scheme
inferredcites →https://doi.org/10.1002/jmri.20305openalex-snapshot
Method for improving the accuracy of quantitative cerebral perfusion imaging
inferredcites →https://doi.org/10.1002/jmri.20393openalex-snapshot
The impact of partial‐volume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging
inferredcites →https://doi.org/10.1002/jmri.20454openalex-snapshot
Bolus dispersion issues related to the quantification of perfusion MRI data
inferredcites →https://doi.org/10.1002/jmri.20455openalex-snapshot
Partial volume effects on arterial input functions: Shape and amplitude distortions and their correction
inferredcites →https://doi.org/10.1002/jmri.20457openalex-snapshot
Arterial input functions for dynamic susceptibility contrast MRI: Requirements and signal options
inferredcites →https://doi.org/10.1002/jmri.20505openalex-snapshot
Magnetic resonance brain perfusion imaging with voxel‐specific arterial input functions
inferredcites →https://doi.org/10.1002/jmri.20535openalex-snapshot
Calculation of cerebral perfusion parameters using regional arterial input functions identified by factor analysis
inferredcites →https://doi.org/10.1002/jmri.20717openalex-snapshot
Automated perfusion‐weighted MRI using localized arterial input functions
inferredcites →https://doi.org/10.1002/jmri.20859openalex-snapshot
Precision, signal‐to‐noise ratio, and dose optimization of magnitude and phase arterial input functions in dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/jmri.21128openalex-snapshot
Improved dynamic susceptibility contrast (DSC)‐MR perfusion estimates by motion correction
inferredcites →https://doi.org/10.1002/jmri.21219openalex-snapshot
Robust dynamic susceptibility contrast MR perfusion using 4D nonlinear noise filters
inferredcites →https://doi.org/10.1002/jmri.21386openalex-snapshot
Inferring origin of vascular supply from tracer arrival timing patterns using bolus tracking MRI
inferredcites →https://doi.org/10.1002/jmri.21613openalex-snapshot
Contrast agent dose effects in cerebral dynamic susceptibility contrast magnetic resonance perfusion imaging
inferredcites →https://doi.org/10.1002/jmri.22021openalex-snapshot
NSF prevention in clinical practice: Summary of recommendations and guidelines in the United States, Canada, and Europe
inferredcites →https://doi.org/10.1002/jmri.22052openalex-snapshot
Perfusion parameters derived from bolus‐tracking perfusion imaging are immune to tracer recirculation
inferredcites →https://doi.org/10.1002/mrm.10020openalex-snapshot
Is quantification of bolus tracking MRI reliable without deconvolution?
inferredcites →https://doi.org/10.1002/mrm.10213openalex-snapshot
Perfusion quantification using Gaussian process deconvolution
inferredcites →https://doi.org/10.1002/mrm.10330openalex-snapshot
Signal‐to‐noise ratio effects in quantitative cerebral perfusion using dynamic susceptibility contrast agents
inferredcites →https://doi.org/10.1002/mrm.10461openalex-snapshot
Measuring the arterial input function with gradient echo sequences
inferredcites →https://doi.org/10.1002/mrm.10522openalex-snapshot
Tracer arrival timing‐insensitive technique for estimating flow in MR perfusion‐weighted imaging using singular value decomposition with a block‐circulant deconvolution matrix
inferredcites →https://doi.org/10.1002/mrm.10567openalex-snapshot
Model of the human vasculature for studying the influence of contrast injection speed on cerebral perfusion MRI
inferredcites →https://doi.org/10.1002/mrm.10643openalex-snapshot
Quantification of bolus‐tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization
inferredcites →https://doi.org/10.1002/mrm.1307openalex-snapshot
On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/mrm.1910060205openalex-snapshot
Dynamic imaging with lanthanide chelates in normal brain: Contrast due to magnetic susceptibility effects
inferredcites →https://doi.org/10.1002/mrm.1910150308openalex-snapshot
Signal‐to‐noise in phase angle reconstruction: Dynamic range extension using phase reference offsets
inferredcites →https://doi.org/10.1002/mrm.1910170206openalex-snapshot
MR Contrast Due to Microscopically Heterogeneous Magnetic Susceptibility: Numerical Simulations and Applications to Cerebral Physiology
inferredcites →https://doi.org/10.1002/mrm.1910270219openalex-snapshot
Mr imaging of cerebral perfusion by phase‐angle reconstruction of bolus paramagnetic‐induced frequency shifts
inferredcites →https://doi.org/10.1002/mrm.1910290420openalex-snapshot
Pitfalls in MR measurement of tissue blood flow with intravascular tracers: Which mean transit time?
inferredcites →https://doi.org/10.1002/mrm.1910310605openalex-snapshot
Microscopic susceptibility variation and transverse relaxation: Theory and experiment
inferredcites →https://doi.org/10.1002/mrm.1910340412openalex-snapshot
Mr contrast due to intravascular magnetic susceptibility perturbations
inferredcites →https://doi.org/10.1002/mrm.1910340503openalex-snapshot
Sequential dynamic susceptibility contrast MR experiments in human brain: Residual contrast agent effect, steady state, and hemodynamic perturbation
inferredcites →https://doi.org/10.1002/mrm.1910360510openalex-snapshot
High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis
inferredcites →https://doi.org/10.1002/mrm.1910380619openalex-snapshot
Contrast‐agent phase effects: An experimental system for analysis of susceptibility, concentration, and bolus input function kinetics
inferredcites →https://doi.org/10.1002/mrm.20006openalex-snapshot
Removing the effect of SVD algorithmic artifacts present in quantitative MR perfusion studies
inferredcites →https://doi.org/10.1002/mrm.20227openalex-snapshot
Defining a local arterial input function for perfusion MRI using independent component analysis
inferredcites →https://doi.org/10.1002/mrm.20497openalex-snapshot
Improving the reliability of obtaining tumor hemodynamic parameters in the presence of contrast agent extravasation
inferredcites →https://doi.org/10.1002/mrm.20759openalex-snapshot
Automatic selection of arterial input function using cluster analysis
inferredcites →https://doi.org/10.1002/mrm.20850openalex-snapshot
Iterative blind deconvolution in magnetic resonance brain perfusion imaging
inferredcites →https://doi.org/10.1002/mrm.20873openalex-snapshot
Bolus delay and dispersion in perfusion MRI: Implications for tissue predictor models in stroke
inferredcites →https://doi.org/10.1002/mrm.20920openalex-snapshot
Theoretical model of intravascular paramagnetic tracers effect on tissue relaxation
inferredcites →https://doi.org/10.1002/mrm.20940openalex-snapshot
Improved deconvolution of perfusion MRI data in the presence of bolus delay and dispersion
inferredcites →https://doi.org/10.1002/mrm.21154openalex-snapshot
Minimizing macrovessel signal in cerebral perfusion imaging using independent component analysis
inferredcites →https://doi.org/10.1002/mrm.21255openalex-snapshot
Perfusion mapping with multiecho multishot parallel imaging EPI
inferredcites →https://doi.org/10.1002/mrm.21362openalex-snapshot
Contrast agent concentration measurements affecting quantification of bolus‐tracking perfusion MRI
inferredcites →https://doi.org/10.1002/mrm.21612openalex-snapshot
Evaluation of an AIF correction algorithm for dynamic susceptibility contrast‐enhanced perfusion MRI
inferredcites →https://doi.org/10.1002/mrm.21839openalex-snapshot
Nonlinear ΔR effects in perfusion quantification using bolus‐tracking MRI
inferredcites →https://doi.org/10.1002/mrm.21849openalex-snapshot
Analysis of partial volume effects on arterial input functions using gradient echo: A simulation study
inferredcites →https://doi.org/10.1002/mrm.21889openalex-snapshot
Perfusion precision in bolus‐tracking MRI: Estimation using the wild‐bootstrap method
inferredcites →https://doi.org/10.1002/mrm.22329openalex-snapshot
Combined arterial spin label and dynamic susceptibility contrast measurement of cerebral blood flow
inferredcites →https://doi.org/10.1002/mrm.22420openalex-snapshot
Phase‐based arterial input function measurements for dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/mrm.22599openalex-snapshot
New criterion to aid manual and automatic selection of the arterial input function in dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/mrm.22660openalex-snapshot
Automated macrovessel artifact correction in dynamic susceptibility contrast magnetic resonance imaging using independent component analysis
inferredcites →https://doi.org/10.1002/mrm.22776openalex-snapshot
Quantitative cerebral blood flow in dynamic susceptibility contrast MRI using total cerebral flow from phase contrast magnetic resonance angiography
inferredcites →https://doi.org/10.1002/mrm.23120openalex-snapshot
Evaluation of signal formation in local arterial input function measurements of dynamic susceptibility contrast MRI
inferredcites →https://doi.org/10.1002/mrm.23195openalex-snapshot
Combined spin‐ and gradient‐echo perfusion‐weighted imaging
inferredcites →https://doi.org/10.1002/nbm.1107openalex-snapshot
Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI
inferredcites →https://doi.org/10.1002/nbm.1290openalex-snapshot
Minimising the effects of bolus dispersion in bolus‐tracking MRI
inferredcites →https://doi.org/10.1007/978-1-60761-938-3_10openalex-snapshot
Measuring the Integrity of the Human Blood–Brain Barrier Using Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1007/s10334-005-0102-zopenalex-snapshot
Wavelet-based noise reduction for improved deconvolution of time-series data in dynamic susceptibility-contrast MRI
inferredcites →https://doi.org/10.1007/s10334-009-0170-6openalex-snapshot
Extraction of the first bolus passage in dynamic susceptibility contrast perfusion measurements
inferredcites →https://doi.org/10.1007/s10334-010-0217-8openalex-snapshot
On the design of filters for fourier and oSVD-based deconvolution in bolus tracking perfusion MRI
inferredcites →https://doi.org/10.1016/j.cmpb.2011.02.012openalex-snapshot
Automatic selection of arterial input function on dynamic contrast-enhanced MR images
inferredcites →https://doi.org/10.1016/j.ejrad.2009.07.038openalex-snapshot
Comparison of quantitative dynamic susceptibility-contrast MRI perfusion estimates obtained using different contrast-agent administration schemes at 3T
inferredcites →https://doi.org/10.1016/j.media.2007.03.005openalex-snapshot
Application of independent component analysis to dynamic contrast-enhanced imaging for assessment of cerebral blood perfusion
inferredcites →https://doi.org/10.1016/j.mri.2003.12.002openalex-snapshot
Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study
inferredcites →https://doi.org/10.1016/j.mri.2004.01.079openalex-snapshot
Effects of echo time variation on perfusion assessment using dynamic susceptibility contrast MR imaging at 3 tesla
inferredcites →https://doi.org/10.1016/j.mri.2004.12.001openalex-snapshot
An alternative viewpoint of the similarities and differences of SVD and FT deconvolution algorithms used for quantitative MR perfusion studies
inferredcites →https://doi.org/10.1016/j.mri.2007.03.011openalex-snapshot
Correcting saturation effects of the arterial input function in dynamic susceptibility contrast-enhanced MRI — a Monte Carlo simulation
inferredcites →https://doi.org/10.1016/j.mri.2008.04.010openalex-snapshot
Quantification of cerebral perfusion using the “bookend technique”: an evaluation in CNS tumors
inferredcites →https://doi.org/10.1016/j.mri.2011.02.024openalex-snapshot
Deconvolution with simple extrapolation for improved cerebral blood flow measurement in dynamic susceptibility contrast magnetic resonance imaging during acute ischemic stroke
inferredcites →https://doi.org/10.1016/j.neuroimage.2006.06.015openalex-snapshot
Bayesian estimation of cerebral perfusion using a physiological model of microvasculature
inferredcites →https://doi.org/10.1016/s0730-725x(96)00392-xopenalex-snapshot
Accuracy of gamma-variate fits to concentration-time curves from dynamic susceptibility-contrast enhanced MRI: Influence of time resolution, maximal signal drop and signal-to-noise
inferredcites →https://doi.org/10.1016/s1053-8119(03)00090-9openalex-snapshot
Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics
inferredcites →https://doi.org/10.1038/jcbfm.2008.155openalex-snapshot
Optimal Location for Arterial Input Function Measurements near the Middle Cerebral Artery in First-Pass Perfusion MRI
inferredcites →https://doi.org/10.1038/jcbfm.2010.215openalex-snapshot
SCALE-PWI: A Pulse Sequence for Absolute Quantitative Cerebral Perfusion Imaging
inferredcites →https://doi.org/10.1038/jcbfm.2010.4openalex-snapshot
A Fully Automated Method for Quantitative Cerebral Hemodynamic Analysis Using DSC–MRI
inferredcites →https://doi.org/10.1038/jcbfm.2011.39openalex-snapshot
T 1 - and T 2 *-Dominant Extravasation Correction in DSC-MRI: Part II—Predicting Patient Outcome after a Single Dose of Cediranib in Recurrent Glioblastoma Patients
inferredcites →https://doi.org/10.1038/jcbfm.2011.52openalex-snapshot
T 1 - and T* 2 -Dominant Extravasation Correction in DSC-MRI: Part I—Theoretical Considerations and Implications for Assessment of Tumor Hemodynamic Properties
inferredcites →https://doi.org/10.1038/jcbfm.2011.78openalex-snapshot
Validating a Local Arterial Input Function Method for Improved Perfusion Quantification in Stroke
inferredcites →https://doi.org/10.1038/sj.jcbfm.9600037openalex-snapshot
Tracer Delay Correction of Cerebral Blood Flow with Dynamic Susceptibility Contrast-Enhanced MRI
inferredcites →https://doi.org/10.1038/sj.jcbfm.9600242openalex-snapshot
Experimental Estimates of the Constants Relating Signal Change to Contrast Concentration for Cerebral Blood Volume by T2* MRI
inferredcites →https://doi.org/10.1088/0031-9155/51/2/015openalex-snapshot
Is correction necessary when clinically determining quantitative cerebral perfusion parameters from multi-slice dynamic susceptibility contrast MR studies?
inferredcites →https://doi.org/10.1088/0031-9155/52/22/014openalex-snapshot
Deconvolution of bolus-tracking data: a comparison of discretization methods
inferredcites →https://doi.org/10.1088/0031-9155/54/19/006openalex-snapshot
A theoretical framework to model DSC-MRI data acquired in the presence of contrast agent extravasation
inferredcites →https://doi.org/10.1097/00004647-199906000-00013openalex-snapshot
Modeling Cerebral Blood Flow and Flow Heterogeneity from Magnetic Resonance Residue Data
inferredcites →https://doi.org/10.1097/00004647-199907000-00001openalex-snapshot
Measuring Cerebral Blood Flow Using Magnetic Resonance Imaging Techniques
inferredcites →https://doi.org/10.1097/rct.0b013e318038d8fbopenalex-snapshot
Effects of Right- Versus Left-Arm Injections of Contrast Material on Computed Tomography of the Head and Neck
inferredcites →https://doi.org/10.1109/hisb.2011.6openalex-snapshot
A Parallel Deconvolution Algorithm in Perfusion Imaging
inferredcites →https://doi.org/10.1109/tbme.2009.2013820openalex-snapshot
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov
inferredcites →https://doi.org/10.1109/tip.2003.819229openalex-snapshot
Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
inferredcites →https://doi.org/10.1148/radiol.2492071659openalex-snapshot
Comparison of Dynamic Susceptibility-weighted Contrast-enhanced MR Methods: Recommendations for Measuring Relative Cerebral Blood Volume in Brain Tumors
inferredcites →https://doi.org/10.1148/radiology.193.3.7972800openalex-snapshot
Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging.
inferredcites →https://doi.org/10.1152/jappl.1954.6.12.731openalex-snapshot
On the Theory of the Indicator-Dilution Method for Measurement of Blood Flow and Volume
inferredcites →https://doi.org/10.1155/2011/236854openalex-snapshot
Development of a New Tool for 3D Modeling for Regenerative Medicine
inferredcites →https://doi.org/10.1155/2011/467563openalex-snapshot
Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details
inferredcites →https://doi.org/10.1161/01.res.14.6.502openalex-snapshot
Indicator Transit Time Considered as a Gamma Variate
inferredcites →https://doi.org/10.1161/01.str.0000014208.05597.33openalex-snapshot
Quantification of Perfusion Using Bolus Tracking Magnetic Resonance Imaging in Stroke
inferredcites →https://doi.org/10.1161/01.str.0000196957.55928.abopenalex-snapshot
Time Is Brain—Quantified
inferredcites →https://doi.org/10.1161/01.str.32.5.1147openalex-snapshot
Usefulness of Magnetic Resonance–Derived Quantitative Measurements of Cerebral Blood Flow and Volume in Prediction of Infarct Growth in Hyperacute Stroke
inferredcites →https://doi.org/10.1161/strokeaha.107.512319openalex-snapshot
Acute Stroke Imaging Research Roadmap
inferredcites →https://doi.org/10.1161/strokeaha.108.546069openalex-snapshot
Comparison of 10 Perfusion MRI Parameters in 97 Sub-6-Hour Stroke Patients Using Voxel-Based Receiver Operating Characteristics Analysis
inferredcites →https://doi.org/10.1161/strokeaha.109.559807openalex-snapshot
Reliable Perfusion Maps in Stroke MRI Using Arterial Input Functions Derived From Distal Middle Cerebral Artery Branches
inferredcites →https://doi.org/10.1161/strokeaha.110.580670openalex-snapshot
The Physiological Significance of the Time-to-Maximum (Tmax) Parameter in Perfusion MRI
inferredcites →https://doi.org/10.1161/strokeaha.110.584029openalex-snapshot
A Simple Positron Emission Tomography-Based Calibration for Perfusion-Weighted Magnetic Resonance Maps to Optimize Penumbral Flow Detection in Acute Stroke
inferredcites →https://doi.org/10.1161/strokeaha.111.635458openalex-snapshot
Influence of the Arterial Input Function on Absolute and Relative Perfusion-Weighted Imaging Penumbral Flow Detection
inferredcites →https://doi.org/10.1161/strokeaha.111.635888openalex-snapshot
The Role of Bolus Delay and Dispersion in Predictor Models for Stroke
inferredcites →https://doi.org/10.1259/bjr/16652509openalex-snapshot
Analysis of dynamic contrast enhanced MRI
inferredcites →https://doi.org/10.18637/jss.v044.i02openalex-snapshot
Markov Chain Monte Carlo Random Effects Modeling in Magnetic Resonance Image Processing Using theBRugsInterface toWinBUGS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4700974openalex-extracted
Input Parameterized Physics Informed Neural Network for Advanced 4d Flow MRI Processing
inferred← citeshttps://doi.org/10.1002/hbm.24537openalex-snapshot
Perfusion weighted imaging using combined gradient/spin echo EPIK: Brain tumour applications in hybrid MR‐PET
inferred← citeshttps://doi.org/10.1002/jmri.24648openalex-snapshot
Principles of T 2 *‐weighted dynamic susceptibility contrast MRI technique in brain tumor imaging
inferred← citeshttps://doi.org/10.1002/jmri.24873openalex-snapshot
3D Pseudocontinuous arterial spin labeling in routine clinical practice: A review of clinically significant artifacts
inferred← citeshttps://doi.org/10.1002/jmri.26639openalex-snapshot
Dynamic susceptibility contrast parametric imaging using accelerated dual‐contrast echo planar imaging with keyhole
inferred← citeshttps://doi.org/10.1002/jmri.26837openalex-snapshot
Analysis of postprocessing steps for residue function dependent dynamic susceptibility contrast (DSC)‐MRI biomarkers and their clinical impact on glioma grading for both 1.5 and 3T
inferred← citeshttps://doi.org/10.1002/jmri.28315openalex-snapshot
Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches
inferred← citeshttps://doi.org/10.1002/mrm.24882openalex-snapshot
RAZER: A pulse sequence for whole‐brain bolus tracking at high frame rates
inferred← citeshttps://doi.org/10.1002/mrm.24960openalex-snapshot
Slice accelerated gradient‐echo spin‐echo dynamic susceptibility contrast imaging with blipped CAIPI for increased slice coverage
inferred← citeshttps://doi.org/10.1002/mrm.25257openalex-snapshot
Quantification of cerebral perfusion using dynamic quantitative susceptibility mapping
inferred← citeshttps://doi.org/10.1002/mrm.25390openalex-snapshot
Correcting for large vessel contamination in dynamic susceptibility contrast perfusion MRI by extension to a physiological model of the vasculature
inferred← citeshttps://doi.org/10.1002/mrm.25396openalex-snapshot
Imaging the microvessel caliber and density: Principles and applications of microvascular MRI
inferred← citeshttps://doi.org/10.1002/mrm.25591openalex-snapshot
A simplified spin and gradient echo approach for brain tumor perfusion imaging
inferred← citeshttps://doi.org/10.1002/mrm.25906openalex-snapshot
Validation of a T1and T2* leakage correction method based on multiecho dynamic susceptibility contrast MRI using MION as a reference standard
inferred← citeshttps://doi.org/10.1002/mrm.26024openalex-snapshot
Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve
inferred← citeshttps://doi.org/10.1002/mrm.26573openalex-snapshot
Robustness of spatio‐temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke
inferred← citeshttps://doi.org/10.1002/mrm.26582openalex-snapshot
Stable spline deconvolution for dynamic susceptibility contrast MRI
inferred← citeshttps://doi.org/10.1002/mrm.27784openalex-snapshot
Accelerated whole‐brain perfusion imaging using a simultaneous multislice spin‐echo and gradient‐echo sequence with joint virtual coil reconstruction
inferred← citeshttps://doi.org/10.1002/mrm.27914openalex-snapshot
Systematic assessment of multi‐echo dynamic susceptibility contrast MRI using a digital reference object
inferred← citeshttps://doi.org/10.1002/mrm.29425openalex-snapshot
High‐resolution dynamic susceptibility contrast perfusion imaging using higher‐order temporal smoothness regularization
inferred← citeshttps://doi.org/10.1002/mrm.29431openalex-snapshot
MR multitasking‐based dynamic imaging for cerebrovascular evaluation ( MT‐DICE ): Simultaneous quantification of permeability and leakage‐insensitive perfusion by dynamic T1/T2* mapping
inferred← citeshttps://doi.org/10.1002/mrm.29906openalex-snapshot
Current status in spatiotemporal analysis of contrast‐based perfusion MRI
inferred← citeshttps://doi.org/10.1002/mrm.30095openalex-snapshot
SPINNED: Simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data
inferred← citeshttps://doi.org/10.1002/mrm.30434openalex-snapshot
Relaxometry and contrast‐free cerebral microvascular quantification using balanced steady‐state free precession MR fingerprinting
inferred← citeshttps://doi.org/10.1002/mrm.30459openalex-snapshot
Whole‐brain BOLD responses to graded hypoxic challenges at 7 T , 9.4 T , and 15.2 T : Implications for ultrahigh‐field functional and dynamic susceptibility contrast MRI
inferred← citeshttps://doi.org/10.1002/nbm.2885openalex-snapshot
Cerebral blood volume MRI with intravascular superparamagnetic iron oxide nanoparticles
inferred← citeshttps://doi.org/10.1002/nbm.4653openalex-snapshot
Dependency of R2 and R2* relaxation on Gd‐DTPA concentration in arterial blood: Influence of hematocrit and magnetic field strength
inferred← citeshttps://doi.org/10.1007/978-1-0716-0856-2_13openalex-snapshot
Magnetic Resonance Imaging for Quantification of Brain Vascular Perfusion
inferred← citeshttps://doi.org/10.1007/978-3-031-07121-8_3openalex-snapshot
The Basics of Functional Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.1007/s00234-013-1310-2openalex-snapshot
The combination of baseline magnetic resonance perfusion-weighted imaging-derived tissue volume with severely prolonged arterial-tissue delay and diffusion-weighted imaging lesion volume is predictive of MCA-M1 recanalization in patients treated with endovascular thrombectomy
inferred← citeshttps://doi.org/10.1007/s00330-018-5353-yopenalex-snapshot
Observer variability of reference tissue selection for relativecerebral blood volume measurements in glioma patients
inferred← citeshttps://doi.org/10.1007/s00330-021-08498-1openalex-snapshot
Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis
inferred← citeshttps://doi.org/10.1007/s10334-016-0589-5openalex-snapshot
Non-gadolinium dynamic angiography of the neurovasculature using arterial spin labeling MRI: preliminary experience in children
inferred← citeshttps://doi.org/10.1007/s10334-019-00760-4openalex-snapshot
Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation
inferred← citeshttps://doi.org/10.1007/s10334-019-00798-4openalex-snapshot
Multi-stage automated local arterial input function selection in perfusion MRI
inferred← citeshttps://doi.org/10.1007/s10334-022-01038-yopenalex-snapshot
Effects of bolus injection duration on perfusion estimates in dynamic CT and dynamic susceptibility contrast MRI
inferred← citeshttps://doi.org/10.1007/s40846-016-0167-3openalex-snapshot
Correction of T1 Effects in Calculation of Relative Recirculation in Ischemic Stroke Patients
inferred← citeshttps://doi.org/10.1007/s43657-022-00081-yopenalex-snapshot
Measurement of Cerebral Oxygen Extraction Fraction Using Quantitative BOLD Approach: A Review
inferred← citeshttps://doi.org/10.1016/b978-0-12-811783-5.00011-2openalex-snapshot
Preoperative Imaging (MRI, Functional MRI, CT)
inferred← citeshttps://doi.org/10.1016/b978-0-12-817057-1.00017-2openalex-snapshot
Applications of Quantitative Perfusion and Permeability in the Brain
inferred← citeshttps://doi.org/10.1016/b978-0-12-822479-3.00024-5openalex-snapshot
Contrast agent-based perfusion MRI methods
inferred← citeshttps://doi.org/10.1016/b978-0-323-95209-5.00001-5openalex-snapshot
Dynamic susceptibility contrast MRI
inferred← citeshttps://doi.org/10.1016/b978-0-323-95739-7.00009-5openalex-snapshot
Perfusion-weighted imaging in multiple sclerosis
inferred← citeshttps://doi.org/10.1016/j.amc.2023.127834openalex-snapshot
An image-informed Cahn–Hilliard Keller–Segel multiphase field model for tumor growth with angiogenesis
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107889openalex-snapshot
A versatile end-to-end deep learning framework for improved full-automatic MRI hemodynamic parameter estimation
inferred← citeshttps://doi.org/10.1016/j.clinimag.2014.12.002openalex-snapshot
Primary central nervous system lymphoma and glioblastoma: differentiation using dynamic susceptibility-contrast perfusion-weighted imaging, diffusion-weighted imaging, and 18F-fluorodeoxyglucose positron emission tomography
inferred← citeshttps://doi.org/10.1016/j.crad.2015.08.004openalex-snapshot
Differentiation between primary central nervous system lymphoma and glioblastoma: a comparative study of parameters derived from dynamic susceptibility contrast-enhanced perfusion-weighted MRI
inferred← citeshttps://doi.org/10.1016/j.diii.2013.06.007openalex-snapshot
T2-*weighted perfusion MRI
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110600openalex-snapshot
Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation in time resolved three dimensional phase-contrast magnetic resonance imaging
inferred← citeshttps://doi.org/10.1016/j.jradnu.2017.01.001openalex-snapshot
Pediatric Brain MR Perfusion Imaging
inferred← citeshttps://doi.org/10.1016/j.media.2018.08.008openalex-snapshot
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke
inferred← citeshttps://doi.org/10.1016/j.media.2021.102207openalex-snapshot
Spatio-temporal multi-task network cascade for accurate assessment of cardiac CT perfusion
inferred← citeshttps://doi.org/10.1016/j.mri.2014.08.027openalex-snapshot
Assessment of a combined spin- and gradient-echo (SAGE) DSC-MRI method for preclinical neuroimaging
inferred← citeshttps://doi.org/10.1016/j.mri.2014.08.032openalex-snapshot
Evaluation of a multiple spin- and gradient-echo (SAGE) EPI acquisition with SENSE acceleration: Applications for perfusion imaging in and outside the brain
inferred← citeshttps://doi.org/10.1016/j.mri.2015.12.015openalex-snapshot
Analysis of three leakage-correction methods for DSC-based measurement of relative cerebral blood volume with respect to heterogeneity in human gliomas
inferred← citeshttps://doi.org/10.1016/j.mri.2019.12.003openalex-snapshot
Perfusion and diffusion in meningioma tumors: a preliminary multiparametric analysis with Dynamic Susceptibility Contrast and IntraVoxel Incoherent Motion MRI
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.04.069openalex-snapshot
Imaging vascular and hemodynamic features of the brain using dynamic susceptibility contrast and dynamic contrast enhanced MRI
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2018.05.066openalex-snapshot
Modeling hyperoxia-induced BOLD signal dynamics to estimate cerebral blood flow, volume and mean transit time
inferred← citeshttps://doi.org/10.1016/j.neurot.2024.e00516openalex-snapshot
Blood-brain barrier breakdown in brain ischemia: Insights from MRI perfusion imaging
inferred← citeshttps://doi.org/10.1016/j.nic.2016.06.007openalex-snapshot
Posttreatment Evaluation of Brain Gliomas
inferred← citeshttps://doi.org/10.1016/j.pnmrs.2013.04.002openalex-snapshot
Arterial input function in perfusion MRI: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.tranon.2015.03.002openalex-snapshot
Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients
inferred← citeshttps://doi.org/10.1016/j.wneu.2017.10.141openalex-snapshot
Differentiating Between Primary Central Nervous System Lymphomas and Glioblastomas: Combined Use of Perfusion-Weighted and Diffusion-Weighted Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.1016/j.wneu.2023.05.046openalex-snapshot
Hemorrhagic Complications After Brain Tumor Biopsy: Risk-Reduction Strategies Based on Safer Biopsy Targets and Techniques
inferred← citeshttps://doi.org/10.1016/j.wneu.2024.01.002openalex-snapshot
Radiomics Multifactorial in Silico Model for Spatial Prediction of Glioblastoma Progression and Recurrence: A Proof-of-Concept
inferred← citeshttps://doi.org/10.1016/s1879-8551(14)59953-8openalex-snapshot
10.1016/s1879-8551(14)59953-8
inferred← citeshttps://doi.org/10.1016/s1879-8551(25)43176-5openalex-snapshot
Imagerie de perfusion encéphalique chez l’adulte : principales applications cliniques
inferred← citeshttps://doi.org/10.1038/jcbfm.2015.39openalex-snapshot
Reliability of CT Perfusion-Derived CBF in Relation to Hemodynamic Compromise in Patients with Cerebrovascular Steno-Occlusive Disease: A Comparative Study with 15 O PET
inferred← citeshttps://doi.org/10.1038/s41598-022-16726-xopenalex-snapshot
Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1067/j.cpradiol.2015.02.010openalex-snapshot
Imaging of Tumor Angiogenesis for Radiologists—Part 1: Biological and Technical Basis
inferred← citeshttps://doi.org/10.1088/0031-9155/60/22/r323openalex-snapshot
Radiotherapy planning using MRI
inferred← citeshttps://doi.org/10.1088/0967-3334/36/7/1517openalex-snapshot
Phase contrast MR imaging measurements of blood flow in healthy human cerebral vessel segments
inferred← citeshttps://doi.org/10.1088/1361-6560/ad4087openalex-snapshot
Identifiability of spatiotemporal tissue perfusion models
inferred← citeshttps://doi.org/10.1093/neuonc/noaa030openalex-snapshot
Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases
inferred← citeshttps://doi.org/10.1093/neuonc/noaa141openalex-snapshot
Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas
inferred← citeshttps://doi.org/10.1093/neuonc/noae049openalex-snapshot
Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group
inferred← citeshttps://doi.org/10.1093/neuonc/nov147openalex-snapshot
Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging
inferred← citeshttps://doi.org/10.1093/neuonc/noz121openalex-snapshot
A new study in contrasts: brain MRI for the depiction of tumor metabolism
inferred← citeshttps://doi.org/10.1093/nop/npv020openalex-snapshot
Case-Based Review: newly diagnosed glioblastoma
inferred← citeshttps://doi.org/10.1101/2021.11.08.467772openalex-snapshot
Cerebral perfusion imaging: Hypoxia-induced deoxyhemoglobin or gadolinium?
inferred← citeshttps://doi.org/10.1101/2022.04.27.489686openalex-snapshot
Perfusion Quantification in the Human Brain Using DSC MRI – Simulations and Validations at 3T
inferred← citeshttps://doi.org/10.1109/iwssip.2016.7502711openalex-snapshot
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke
inferred← citeshttps://doi.org/10.1126/sciadv.adm7605openalex-snapshot
Mapping cerebral perfusion in mice under various anesthesia levels using highly sensitive BOLD MRI with transient hypoxia
inferred← citeshttps://doi.org/10.1177/0271678x221076557openalex-snapshot
Assessment of microvascular rarefaction in human brain disorders using physiological magnetic resonance imaging
inferred← citeshttps://doi.org/10.1177/0271678x221117008openalex-snapshot
Whole-brain perfusion mapping in mice by dynamic BOLD MRI with transient hypoxia
inferred← citeshttps://doi.org/10.1177/0271678x251358968openalex-snapshot
Vessel architecture imaging reveals microvascular rarefaction and capillary-to-arteriole shift in cerebral small vessel disease
inferred← citeshttps://doi.org/10.1212/wnl.0000000000007263openalex-snapshot
Blood-brain barrier impairment and hypoperfusion are linked in cerebral small vessel disease
inferred← citeshttps://doi.org/10.1259/bjr.20170912openalex-snapshot
Measurement of the perfusion fraction in brain tumors with intravoxel incoherent motion MR imaging: validation with histopathological vascular density in meningiomas
inferred← citeshttps://doi.org/10.1259/bjr.20201450openalex-snapshot
Cerebral and tumoral blood flow in adult gliomas: a systematic review of results from magnetic resonance imaging
inferred← citeshttps://doi.org/10.1259/bjr.20201465openalex-snapshot
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data
inferred← citeshttps://doi.org/10.1371/journal.pone.0100308openalex-snapshot
Evaluating the Feasibility of an Agglomerative Hierarchy Clustering Algorithm for the Automatic Detection of the Arterial Input Function Using DSC-MRI
inferred← citeshttps://doi.org/10.1515/msr-2018-0036openalex-snapshot
Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI
inferred← citeshttps://doi.org/10.15587/1729-4061.2015.55908openalex-snapshot
Calculation accuracy evaluation of quantitative parameters of overall perfusion assessment
inferred← citeshttps://doi.org/10.18383/j.tom.2016.00172openalex-snapshot
Dynamic Susceptibility Contrast-MRI Quantification Software Tool: Development and Evaluation
inferred← citeshttps://doi.org/10.20517/cdr.2020.94openalex-snapshot
Imaging methods to evaluate tumor microenvironment factors affecting nanoparticle drug delivery and antitumor response
inferred← citeshttps://doi.org/10.21203/rs.3.rs-938779/v1openalex-snapshot
Discriminators of Pseudoprogression and True Progression in High-Grade Gliomas: A Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.21203/rs.3.rs-938779/v2openalex-snapshot
Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.26481/dis.20161110hhopenalex-snapshot
Microvascular and blood-brain barrier dysfunction in Alzheimer’s disease : New insights from quantitative magnetic resonance imaging
inferred← citeshttps://doi.org/10.31234/osf.io/rh4mdopenalex-snapshot
A guide to advanced MRI processing for clinical glioma research
inferred← citeshttps://doi.org/10.3171/2015.1.jns142349openalex-snapshot
Magnetic resonance susceptibility weighted imaging in neurosurgery: current applications and future perspectives
inferred← citeshttps://doi.org/10.3174/ajnr.a4341openalex-snapshot
ASFNR Recommendations for Clinical Performance of MR Dynamic Susceptibility Contrast Perfusion Imaging of the Brain
inferred← citeshttps://doi.org/10.3174/ajnr.a4700openalex-snapshot
Improving Perfusion Measurement in DSC-MR Imaging with Multiecho Information for Arterial Input Function Determination
inferred← citeshttps://doi.org/10.3174/ajnr.a4908openalex-snapshot
Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas
inferred← citeshttps://doi.org/10.3174/ajnr.a5295openalex-snapshot
Optimization of DSC MRI Echo Times for CBV Measurements Using Error Analysis in a Pilot Study of High-Grade Gliomas
inferred← citeshttps://doi.org/10.3174/ajnr.a6761openalex-snapshot
Presurgical Identification of Primary Central Nervous System Lymphoma with Normalized Time-Intensity Curve: A Pilot Study of a New Method to Analyze DSC-PWI
inferred← citeshttps://doi.org/10.3174/ajnr.a9256openalex-snapshot
Dose Reduction with Gadopiclenol: Implications for DSC Perfusion Imaging
inferred← citeshttps://doi.org/10.3348/kjr.2014.15.5.554openalex-snapshot
Perfusion Magnetic Resonance Imaging: A Comprehensive Update on Principles and Techniques
inferred← citeshttps://doi.org/10.3389/fnimg.2023.1048652openalex-snapshot
DSC MRI in the human brain using deoxyhemoglobin and gadolinium—Simulations and validations at 3T
inferred← citeshttps://doi.org/10.3389/fnins.2022.787755openalex-snapshot
Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas
inferred← citeshttps://doi.org/10.3389/fonc.2017.00003openalex-snapshot
Characterization of the Tumor Microenvironment and Tumor–Stroma Interaction by Non-invasive Preclinical Imaging
inferred← citeshttps://doi.org/10.3389/fonc.2021.648528openalex-snapshot
Effect of Applying Leakage Correction on rCBV Measurement Derived From DSC-MRI in Enhancing and Nonenhancing Glioma
inferred← citeshttps://doi.org/10.3389/fphy.2022.759749openalex-snapshot
Simultaneous Dual Echo Gadolinium Enhanced MR-PET for Evaluation of PET Tracer Delivery in Altered Pathophysiology
inferred← citeshttps://doi.org/10.3389/fradi.2024.1307586openalex-snapshot
Practical guidance to identify and troubleshoot suboptimal DSC-MRI results
inferred← citeshttps://doi.org/10.3390/app131910581openalex-snapshot
Histogram-Based Analysis of Low- and High-Grade Glioma and Its Surrounding Edema Using Arterial Spin Labeling Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.3390/e19050187openalex-snapshot
Multicomponent and Longitudinal Imaging Seen as a Communication Channel—An Application to Stroke
inferred← citeshttps://doi.org/10.3390/medicina59091596openalex-snapshot
Assessment of Microvascular Disease in Heart and Brain by MRI: Application in Heart Failure with Preserved Ejection Fraction and Cerebral Small Vessel Disease
inferred← citeshttps://doi.org/10.37549/ar2093openalex-snapshot
The basics of diffusion and perfusion imaging in brain tumors
inferred← citeshttps://doi.org/10.70675/0a8b5072zbdb2z4a29zadb1zf35c18b2f887openalex-snapshot
Etude et modélisation de la plasticité cérébrale chez des patients porteurs de lésions gliales de bas grade opérés en chirurgie éveillée
inferred← citeshttps://doi.org/10.70675/36bdbb43zf46cz42f1za8ecz96c56a73861dopenalex-snapshot
Traitement et simulation d’images d’IRM de perfusion pour la prédiction de l’évolution de la lésion ischémique dans l’accident vasculaire cérébral
inferred← citeshttps://doi.org/10.70675/611d34a3zc267z4178zb1e9z02cb86d82aadopenalex-snapshot
Modélisation cinétique de la perméabilité vasculaire et de l'inflammation dans l'accident vasculaire cérébral via l'imagerie dynamique simultanée TEP-IRM
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.