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动态与 4D CT

动态与 4D CT 是指重建在采集过程中发生变化的物体,得到的是一组随时间变化的图像,而不是单个静态体数据。变化可以是周期性的,比如呼吸相关 4D-CBCT 和心脏 CT 中的呼吸与心跳;也可以是非周期性的,比如对比剂灌注和原位材料实验。

难点在于每个时间点只能看到一小部分投影。以按时相分箱的 4D-CBCT 为例,每个呼吸时相只用大约十分之一的视角重建,会产生严重的条纹;而忽略运动又会让图像变得模糊。

方法包括结合先验图像约束(PICCS)和时空正则化的呼吸分选、估计形变场的运动补偿重建,以及逐扫描的连续时间表示,例如带运动形变的隐式神经场和 4D 高斯溅射。SPARE 挑战赛为稀疏视角 4D-CBCT 提供了统一的基准。

在可检索的目录中浏览全部 24 篇「动态与 4D CT」论文

入门推荐

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论文

全部 24 篇,按时间倒序。

论文发表出处年份链接
Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction预印本2026paper
Dynamic Black-hole Emission Tomography with Physics-Informed Neural FieldsCVPR2026paper
Dual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning预印本2026paper
Spatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparsely Sampled ProjectionsMed Phys2025paper · code
DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation ModelMICCAI2025paper · code
A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CTTMI2025paper · code
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)预印本2025paper
Prior-Adapted Progressive Time-Resolved CBCT Reconstruction Using a Dynamic Reconstruction and Motion Estimation MethodMed Phys2025paper
Time-resolved dynamic CBCT reconstruction using prior-model-free spatiotemporal Gaussian representation (PMF-STGR)PMB2025paper
X2-Gaussian: 4D Radiative Gaussian Splatting for Continuous-Time Tomographic ReconstructionICCV2025paper · code
DiFiR-CT: Distance field representation to resolve motion artifacts in computed tomographyMed Phys2023paper · code
Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)PMB2023paper
Dynamic CT Reconstruction From Limited Views With Implicit Neural RepresentationsICCV2021paper
SPARE: Sparse-view reconstruction challenge for 4D cone-beam CT from a 1-min scanMed Phys2019paper
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity RegularizationTMI2017paper
Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizationsNeurocomputing2016paper
Tensor-based dictionary learning for dynamic tomographic reconstructionPMB2015paper
A technique for estimating 4D-CBCT using prior knowledge and limited-angle projectionsMed Phys2013paper
4D Cone Beam CT via Spatiotemporal Tensor FrameletMed Phys2012paper
An Investigation of 4D Cone-Beam CT Algorithms for Slowly Rotating ScannersMed Phys2010paper
On-the-Fly Motion-Compensated Cone-Beam CT Using an A Priori Model of the Respiratory MotionMed Phys2009paper
High Temporal Resolution and Streak-Free Four-Dimensional Cone-Beam Computed TomographyPMB2008paper
Prior Image Constrained Compressed Sensing (PICCS): A Method to Accurately Reconstruct Dynamic CT Images from Highly Undersampled Projection Data SetsMed Phys2008paper
Respiratory Correlated Cone Beam CTMed Phys2005paper

在可检索的目录中浏览全部 24 篇「动态与 4D CT」论文

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