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A technique for estimating 4D‐CBCT using prior knowledge and limited‐angle projections

https://doi.org/10.1118/1.4825097
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2010.261openalex-snapshot
Stereotactic Body Radiation Therapy for Inoperable Early Stage Lung Cancer
inferredcites →https://doi.org/10.1001/jama.2010.777openalex-snapshot
Stereotactic Body Radiation Therapy for Inoperable Lung Cancer
inferredcites →https://doi.org/10.1007/978-3-642-15711-0_56openalex-snapshot
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy
inferredcites →https://doi.org/10.1007/s11548-008-0266-xopenalex-snapshot
Reconstruction of 4D deformed CT for moving anatomy
inferredcites →https://doi.org/10.1016/j.ijrobp.2006.10.024openalex-snapshot
Optimizing 4D cone-beam CT acquisition protocol for external beam radiotherapy
inferredcites →https://doi.org/10.1016/j.ijrobp.2007.07.2386openalex-snapshot
Quality Assurance Challenges for Motion-Adaptive Radiation Therapy: Gating, Breath Holding, and Four-Dimensional Computed Tomography
inferredcites →https://doi.org/10.1016/j.ijrobp.2009.05.024openalex-snapshot
Respiratory Motion Changes of Lung Tumors Over the Course of Radiation Therapy Based on Respiration-Correlated Four-Dimensional Computed Tomography Scans
inferredcites →https://doi.org/10.1016/j.ijrobp.2011.02.002openalex-snapshot
Development and Clinical Evaluation of a Three-Dimensional Cone-Beam Computed Tomography Estimation Method Using a Deformation Field Map
inferredcites →https://doi.org/10.1016/j.ijrobp.2012.01.037openalex-snapshot
Reproducibility of Tumor Motion Probability Distribution Function in Stereotactic Body Radiation Therapy of Lung Cancer
inferredcites →https://doi.org/10.1016/j.meddos.2005.12.004openalex-snapshot
Overview of image-guided radiation therapy
inferredcites →https://doi.org/10.1088/0031-9155/49/14/003openalex-snapshot
Fast free-form deformable registration via calculus of variations
inferredcites →https://doi.org/10.1088/0031-9155/51/11/017openalex-snapshot
Linac-integrated 4D cone beam CT: first experimental results
inferredcites →https://doi.org/10.1088/0031-9155/53/17/021openalex-snapshot
Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
inferredcites →https://doi.org/10.1088/0031-9155/53/20/006openalex-snapshot
High temporal resolution and streak-free four-dimensional cone-beam computed tomography
inferredcites →https://doi.org/10.1088/0031-9155/55/11/002openalex-snapshot
Online prediction of respiratory motion: multidimensional processing with low-dimensional feature learning
inferredcites →https://doi.org/10.1088/0031-9155/56/18/015openalex-snapshot
On a PCA-based lung motion model
inferredcites →https://doi.org/10.1088/0031-9155/58/2/231openalex-snapshot
High-quality four-dimensional cone-beam CT by deforming prior images
inferredcites →https://doi.org/10.1088/0031-9155/58/4/841openalex-snapshot
Evaluation of 3D fluoroscopic image generation from a single planar treatment image on patient data with a modified XCAT phantom
inferredcites →https://doi.org/10.1093/jrr/rrs058openalex-snapshot
4D registration and 4D verification of lung tumor position for stereotactic volumetric modulated arc therapy using respiratory-correlated cone-beam CT
inferredcites →https://doi.org/10.1109/tmi.2006.889719openalex-snapshot
Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration
inferredcites →https://doi.org/10.1118/1.1869074openalex-snapshot
Respiratory correlated cone beam CT
inferredcites →https://doi.org/10.1118/1.2767145openalex-snapshot
Four‐dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling
inferredcites →https://doi.org/10.1118/1.2779945openalex-snapshot
Accelerating reconstruction of reference digital tomosynthesis using graphics hardware
inferredcites →https://doi.org/10.1118/1.2804576openalex-snapshot
A patient‐specific respiratory model of anatomical motion for radiation treatment planning
inferredcites →https://doi.org/10.1118/1.2831903openalex-snapshot
Automatic registration between reference and on-board digital tomosynthesis images for positioning verification
inferredcites →https://doi.org/10.1118/1.2940725openalex-snapshot
A novel digital tomosynthesis (DTS) reconstruction method using a deformation field map
inferredcites →https://doi.org/10.1118/1.2953561openalex-snapshot
On-board four-dimensional digital tomosynthesis: First experimental results
inferredcites →https://doi.org/10.1118/1.2955743openalex-snapshot
Realistic CT simulation using the 4D XCAT phantom
inferredcites →https://doi.org/10.1118/1.3285291openalex-snapshot
Slow gantry rotation acquisition technique for on‐board four‐dimensional digital tomosynthesis
inferredcites →https://doi.org/10.1118/1.3312276openalex-snapshot
Evaluation of respiration‐correlated digital tomosynthesis in lunga)
inferredcites →https://doi.org/10.1118/1.3426002openalex-snapshot
Real‐time volumetric image reconstruction and 3D tumor localization based on a single x‐ray projection image for lung cancer radiotherapy
inferredcites →https://doi.org/10.1118/1.3488983openalex-snapshot
A method to map errors in the deformable registration of 4DCT imagesa)
inferredcites →https://doi.org/10.1118/1.3544369openalex-snapshot
Four‐dimensional cone‐beam computed tomography and digital tomosynthesis reconstructions using respiratory signals extracted from transcutaneously inserted metal markers for liver SBRT
inferredcites →https://doi.org/10.1118/1.3582693openalex-snapshot
3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy
inferredcites →https://doi.org/10.1118/1.3658737openalex-snapshot
Four‐dimensional magnetic resonance imaging (4D‐MRI) using image‐based respiratory surrogate: A feasibility study
inferredcites →https://doi.org/10.1118/1.3662895openalex-snapshot
4D Cone‐beam CT reconstruction using a motion model based on principal component analysis
inferredcites →https://doi.org/10.1118/1.3685443openalex-snapshot
A novel technique for markerless, self-sorted 4D-CBCT: Feasibility study
inferredcites →https://doi.org/10.1118/1.4745559openalex-snapshot
Four‐dimensional cone beam CT reconstruction and enhancement using a temporal nonlocal means method
inferredcites →https://doi.org/10.1118/1.595715openalex-snapshot
Fast calculation of the exact radiological path for a three‐dimensional CT array
inferredcites →https://doi.org/10.1186/1748-717x-7-81openalex-snapshot
Accuracy and inter-observer variability of 3D versus 4D cone-beam CT based image-guidance in SBRT for lung tumors
inferredcites →https://doi.org/10.1364/josaa.1.000612openalex-snapshot
Practical cone-beam algorithm
inferredcites →https://doi.org/10.4103/0973-1482.106539openalex-snapshot
Establishing a framework to implement 4D XCAT Phantom for 4D radiotherapy research

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.4661696openalex-extracted
4D-Precise: Learning-Based 3D Motion Estimation and High Temporal Resolution 4DCT Reconstruction from In-Treatment 2D t X-Ray Projections
inferred← citeshttps://doi.org/10.1002/mp.12102openalex-snapshot
Estimating 4D‐ CBCT from prior information and extremely limited angle projections using structural PCA and weighted free‐form deformation for lung radiotherapy
inferred← citeshttps://doi.org/10.1002/mp.12259openalex-snapshot
A new CT reconstruction technique using adaptive deformation recovery and intensity correction (ADRIC)
inferred← citeshttps://doi.org/10.1002/mp.12326openalex-snapshot
Optimization of the geometry and speed of a moving blocker system for cone‐beam computed tomography scatter correction
inferred← citeshttps://doi.org/10.1002/mp.12647openalex-snapshot
Image acquisition optimization of a limited‐angle intrafraction verification ( LIVE ) system for lung radiotherapy
inferred← citeshttps://doi.org/10.1002/mp.12904openalex-snapshot
Principal component analysis‐based imaging angle determination for 3D motion monitoring using single‐slice on‐board imaging
inferred← citeshttps://doi.org/10.1002/mp.12998openalex-snapshot
A Novel method to generate on‐board 4D MRI using prior 4D MRI and on‐board kV projections from a conventional LINAC for target localization in liver SBRT
inferred← citeshttps://doi.org/10.1002/mp.13511openalex-snapshot
Technical Note: Imaging dose resulting from optimized procedures with limited‐angle intrafractional verification system during stereotactic body radiation therapy lung treatment
inferred← citeshttps://doi.org/10.1002/mp.13706openalex-snapshot
Dosimetric evaluation of 4D‐CBCT reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for carbon ion therapy of lung cancer
inferred← citeshttps://doi.org/10.1002/mp.13784openalex-snapshot
The accuracy and precision of the KIM motion monitoring system used in the multi‐institutional TROG 15.01 Stereotactic Prostate Ablative Radiotherapy with KIM (SPARK) trial
inferred← citeshttps://doi.org/10.1002/mp.14150openalex-snapshot
U‐net‐based deformation vector field estimation for motion‐compensated 4D‐CBCT reconstruction
inferred← citeshttps://doi.org/10.1002/mp.14312openalex-snapshot
A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy
inferred← citeshttps://doi.org/10.1002/mp.15275openalex-snapshot
Automatic liver tumor localization using deep learning‐based liver boundary motion estimation and biomechanical modeling (DL‐Bio)
inferred← citeshttps://doi.org/10.1002/mp.15314openalex-snapshot
Multi‐contrast four‐dimensional magnetic resonance imaging (MC‐4D‐MRI): Development and initial evaluation in liver tumor patients
inferred← citeshttps://doi.org/10.1002/mp.15806openalex-snapshot
Fast four‐dimensional cone‐beam computed tomography reconstruction using deformable convolutional networks
inferred← citeshttps://doi.org/10.1002/mp.16585openalex-snapshot
Faster and lower dose imaging: evaluating adaptive, constant gantry velocity and angular separation in fast low‐dose 4D cone beam CT imaging
inferred← citeshttps://doi.org/10.1002/mp.16691openalex-snapshot
Real‐time liver motion estimation via deep learning‐based angle‐agnostic X‐ray imaging
inferred← citeshttps://doi.org/10.1002/mp.17269openalex-snapshot
A review on 4D cone‐beam CT (4D‐CBCT) in radiation therapy: Technical advances and clinical applications
inferred← citeshttps://doi.org/10.1002/mp.70098openalex-snapshot
A hybrid population‐based and patient‐specific framework for 2D‐3D deformable registration‐driven limited‐angle cone‐beam CT estimation
inferred← citeshttps://doi.org/10.1002/mp.70119openalex-snapshot
Prior‐adapted progressive time‐resolved CBCT reconstruction using a dynamic reconstruction and motion estimation method
inferred← citeshttps://doi.org/10.1007/978-3-032-06624-4_15openalex-snapshot
Projection-Driven Robust Motion Compensation for CBCT Using a Patient-Specific Model Learned from Prior Scans
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108158openalex-snapshot
4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106803openalex-snapshot
Structure-preserving quality improvement of cone beam CT images using contrastive learning
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108390openalex-snapshot
RT-SRTS: Angle-agnostic real-time simultaneous 3D reconstruction and tumor segmentation from single X-ray projection
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2024.102344openalex-snapshot
Energy-guided diffusion model for CBCT-to-CT synthesis
inferred← citeshttps://doi.org/10.1016/j.ijrobp.2016.02.011openalex-snapshot
A Technique for Generating Volumetric Cine-Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.1016/j.media.2021.102250openalex-snapshot
Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
inferred← citeshttps://doi.org/10.1016/j.media.2023.102998openalex-snapshot
Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
inferred← citeshttps://doi.org/10.1016/j.media.2026.104198openalex-snapshot
Respiratory motion augmentation for personalized super-resolution (RMApSR) of 3D cine MR images in MRI-guided radiotherapy
inferred← citeshttps://doi.org/10.1016/j.phro.2018.02.004openalex-snapshot
Fast 4D cone-beam CT from 60 s acquisitions
inferred← citeshttps://doi.org/10.1016/j.phro.2024.100535openalex-snapshot
A review of the clinical introduction of 4D particle therapy research concepts
inferred← citeshttps://doi.org/10.1016/j.radonc.2015.02.022openalex-snapshot
Preliminary clinical evaluation of a 4D-CBCT estimation technique using prior information and limited-angle projections
inferred← citeshttps://doi.org/10.1016/j.radonc.2018.10.040openalex-snapshot
4D liver tumor localization using cone-beam projections and a biomechanical model
inferred← citeshttps://doi.org/10.1088/0031-9155/59/24/7865openalex-snapshot
Deformable 3D–2D registration for CT and its application to low dose tomographic fluoroscopy
inferred← citeshttps://doi.org/10.1088/0031-9155/60/24/9437openalex-snapshot
Markerless tumor tracking using short kilovoltage imaging arcs for lung image-guided radiotherapy
inferred← citeshttps://doi.org/10.1088/0031-9155/60/24/9493openalex-snapshot
Quantifying the image quality and dose reduction of respiratory triggered 4D cone-beam computed tomography with patient-measured breathing
inferred← citeshttps://doi.org/10.1088/0031-9155/61/2/554openalex-snapshot
4D cone beam CT-based dose assessment for SBRT lung cancer treatment
inferred← citeshttps://doi.org/10.1088/1361-6560/aa4f6dopenalex-snapshot
Deformable registration of CT and cone-beam CT with local intensity matching
inferred← citeshttps://doi.org/10.1088/1361-6560/aa6913openalex-snapshot
Reducing scan angle using adaptive prior knowledge for a limited-angle intrafraction verification (LIVE) system for conformal arc radiotherapy
inferred← citeshttps://doi.org/10.1088/1361-6560/aa9746openalex-snapshot
Accelerating volumetric cine MRI (VC-MRI) using undersampling for real-time 3D target localization/tracking in radiation therapy: a feasibility study
inferred← citeshttps://doi.org/10.1088/1361-6560/aaa730openalex-snapshot
A biomechanical modeling-guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/aab68dopenalex-snapshot
Low dose CBCT reconstruction via prior contour based total variation (PCTV) regularization: a feasibility study
inferred← citeshttps://doi.org/10.1088/1361-6560/aaeddbopenalex-snapshot
A respiratory-guided 4D digital tomosynthesis
inferred← citeshttps://doi.org/10.1088/1361-6560/ab1456openalex-snapshot
Atlas-based automatic planning and 3D–2D fluoroscopic guidance in pelvic trauma surgery
inferred← citeshttps://doi.org/10.1088/1361-6560/ab66e4openalex-snapshot
Real-time tumor localization with single x-ray projection at arbitrary gantry angles using a convolutional neural network (CNN)
inferred← citeshttps://doi.org/10.1088/1361-6560/ab8bf2openalex-snapshot
A patient-independent CT intensity matching method using conditional generative adversarial networks (cGAN) for single x-ray projection-based tumor localization
inferred← citeshttps://doi.org/10.1088/1361-6560/ab9f60openalex-snapshot
4D-AirNet: a temporally-resolved CBCT slice reconstruction method synergizing analytical and iterative method with deep learning
inferred← citeshttps://doi.org/10.1088/1361-6560/abcde8openalex-snapshot
Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model
inferred← citeshttps://doi.org/10.1088/1361-6560/abe9f6openalex-snapshot
An unsupervised 2D–3D deformable registration network (2D3D-RegNet) for cone-beam CT estimation
inferred← citeshttps://doi.org/10.1088/1361-6560/abf9ddopenalex-snapshot
The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits
inferred← citeshttps://doi.org/10.1088/1361-6560/ac01b4openalex-snapshot
A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantoms
inferred← citeshttps://doi.org/10.1088/1361-6560/ac6b7bopenalex-snapshot
Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling
inferred← citeshttps://doi.org/10.1088/1361-6560/acb30dopenalex-snapshot
Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)
inferred← citeshttps://doi.org/10.1088/1361-6560/acb889openalex-snapshot
Real-time liver tumor localization via combined surface imaging and a single x-ray projection
inferred← citeshttps://doi.org/10.1088/1361-6560/ad33b7openalex-snapshot
3D cine-magnetic resonance imaging using spatial and temporal implicit neural representation learning (STINR-MR)
inferred← citeshttps://doi.org/10.1088/1361-6560/ad46dcopenalex-snapshot
Dynamic CBCT imaging using prior model-free spatiotemporal implicit neural representation (PMF-STINR)
inferred← citeshttps://doi.org/10.1088/1361-6560/ad580dopenalex-snapshot
Prior frequency guided diffusion model for limited angle (LA)-CBCT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/ad780aopenalex-snapshot
Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs
inferred← citeshttps://doi.org/10.1088/1361-6560/addf0eopenalex-snapshot
A conditional point cloud diffusion model for deformable liver motion tracking via a single arbitrarily-angled x-ray projection
inferred← citeshttps://doi.org/10.1088/1361-6560/adf487openalex-snapshot
Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)
inferred← citeshttps://doi.org/10.1088/1361-6560/ae639copenalex-snapshot
Nonperiodic dynamic CT reconstruction using backward-warping implicit neural representation with diffeomorphism regularization *
inferred← citeshttps://doi.org/10.1088/2057-1976/ab446bopenalex-snapshot
Daily edge deformation prediction using an unsupervised convolutional neural network model for low dose prior contour based total variation CBCT reconstruction (PCTV-CNN)
inferred← citeshttps://doi.org/10.1109/acait56212.2022.10137911openalex-snapshot
Real Time 4D-Cone Beam CT Accurate Estimation via Convolutional LSTM Network
inferred← citeshttps://doi.org/10.1109/access.2019.2899385openalex-snapshot
Convolutional Neural Network (CNN) Based Three Dimensional Tumor Localization Using Single X-Ray Projection
inferred← citeshttps://doi.org/10.1109/ist.2017.8261550openalex-snapshot
A CNN based volumetric imaging method with single X-ray projection
inferred← citeshttps://doi.org/10.1109/tmi.2016.2623745openalex-snapshot
A Biomechanical Modeling Guided CBCT Estimation Technique
inferred← citeshttps://doi.org/10.1109/tmi.2019.2912791openalex-snapshot
Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3564947openalex-snapshot
RSME: Respiration-Driven Synchronized Motion Estimator for Real-Time Thoracic 3-D CT Reconstruction Using Low-Rank Motion Fields and Dose-Free Surface Imaging
inferred← citeshttps://doi.org/10.1109/trpms.2021.3126318openalex-snapshot
Real-Time Markerless Tracking of Lung Tumors Based on 2-D Fluoroscopy Imaging Using Convolutional LSTM
inferred← citeshttps://doi.org/10.1109/trpms.2021.3133510openalex-snapshot
Enhancement of 4-D Cone-Beam Computed Tomography (4D-CBCT) Using a Dual-Encoder Convolutional Neural Network (DeCNN)
inferred← citeshttps://doi.org/10.1109/trpms.2023.3260148openalex-snapshot
Real-Time 4-D-Cone Beam CT Accurate Estimation Based on Single-Angle Projection via Dual-Attention Mechanism Residual Network
inferred← citeshttps://doi.org/10.1109/trpms.2025.3553866openalex-snapshot
RSTAR4D: Rotational Streak Artifact Reduction in 4-D CBCT Using Separable 4-D Convolutions
inferred← citeshttps://doi.org/10.1117/12.2512649openalex-snapshot
Incorporating biomechanical modeling and deep learning into a deformation-driven liver CBCT reconstruction technique
inferred← citeshttps://doi.org/10.1117/12.2646900openalex-snapshot
Real-time liver tumor localization via a single x-ray projection using deep graph network-assisted biomechanical modeling
inferred← citeshttps://doi.org/10.1118/1.4896818openalex-snapshot
Real‐time out‐of‐plane artifact subtraction tomosynthesis imaging using prior CT for scanning beam digital x‐ray system
inferred← citeshttps://doi.org/10.1118/1.4921041openalex-snapshot
3D delivered dose assessment using a 4DCT-based motion model
inferred← citeshttps://doi.org/10.1118/1.4926559openalex-snapshot
Dosimetric verification of lung cancer treatment using the CBCTs estimated from limited‐angle on‐board projections
inferred← citeshttps://doi.org/10.1118/1.4959998openalex-snapshot
Simultaneous 4D‐CBCT reconstruction with sliding motion constraint
inferred← citeshttps://doi.org/10.1120/jacmp.v17i6.6459openalex-snapshot
Difference in performance between 3D and 4D CBCT for lung imaging: a dose and image quality analysis
inferred← citeshttps://doi.org/10.1177/1533034615587615openalex-snapshot
Scatter Reduction and Correction for Dual-Source Cone-Beam CT Using Prepatient Grids
inferred← citeshttps://doi.org/10.1177/1533034617705716openalex-snapshot
Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization
inferred← citeshttps://doi.org/10.1177/1533034617723753openalex-snapshot
Development of a Computerized 4-D MRI Phantom for Liver Motion Study
inferred← citeshttps://doi.org/10.1186/s42492-019-0033-6openalex-snapshot
Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning
inferred← citeshttps://doi.org/10.1201/9781315143873-20openalex-snapshot
Advances in verification and delivery techniques
inferred← citeshttps://doi.org/10.21037/qims-21-114openalex-snapshot
Prior image-guided cone-beam computed tomography augmentation from under-sampled projections using a convolutional neural network
inferred← citeshttps://doi.org/10.21037/qims.2019.06.02openalex-snapshot
Low dose cone-beam computed tomography reconstruction via hybrid prior contour based total variation regularization (hybrid-PCTV)
inferred← citeshttps://doi.org/10.21037/qims.2019.07.04openalex-snapshot
Enhancing liver tumor localization accuracy by prior-knowledge-guided motion modeling and a biomechanical model
inferred← citeshttps://doi.org/10.21037/qims.2019.12.10openalex-snapshot
Volumetric cine magnetic resonance imaging (VC-MRI) using motion modeling, free-form deformation and multi-slice undersampled 2D cine MRI reconstructed with spatio-temporal low-rank decomposition
inferred← citeshttps://doi.org/10.3389/fonc.2024.1390398openalex-snapshot
Spatiotemporal correlation enhanced real-time 4D-CBCT imaging using convolutional LSTM networks
inferred← citeshttps://doi.org/10.3390/jimaging8020017openalex-snapshot
Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study
inferred← citeshttps://doi.org/10.4103/ctm.ctm_38_17openalex-snapshot
Markerless four-dimensional-cone beam computed tomography projection-phase sorting using prior knowledge and patient motion modeling: A feasibility study
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