6 papers
Develop and Optimize 5DCT Imaging Simulation and Reconstruction Methods
Yuhao Wang, Zhendong Zhang, Edward Robert Criscuolo +4
Purpose: To develop and optimize a 5DCT (3D + cardiac phase + respiratory phase) imaging simulation and reconstruction pipeline, and to compare two sinogram-space interpolation met…
PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis
Dinglun He, Baoming Zhang, Xu Wang +3
Abdominal CT data are limited by high annotation costs and privacy constraints, which hinder the development of robust segmentation and diagnostic models. We present a Prior-Integr…
A Respiratory Motion Analysis for Guiding Stereotactic Arrhythmia Radiotherapy Motion Management
Yuhao Wang, Yao Hao, Hongyu An +4
Stereotactic Arrhythmia Radiotherapy (STAR) treats ventricular tachycardia (VT) but requires internal target volume (ITV) expansions to compensate for cardiorespiratory motion. Cur…
A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation
Edward R Criscuolo, Yao Hao, Zhendong Zhang +2
Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic tasks. Despite this, DIR algorithms have limited clinical use, largely due to a lac…
Small metal artifact detection and inpainting in cardiac CT images
Trevor McKeown, H. Michael Gach, Yao Hao +4
Background: Quantification of cardiac motion on pre-treatment CT imaging for stereotactic arrhythmia radiotherapy patients is difficult due to the presence of image artifacts cause…
A comprehensive liver CT landmark pair dataset for evaluating deformable image registration algorithms
Zhendong Zhang, Edward Robert Criscuolo, Yao Hao +1
Purpose: Evaluating deformable image registration (DIR) algorithms is vital for enhancing algorithm performance and gaining clinical acceptance. However, there's a notable lack of…