Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. There are urgent needs for significantly higher fidelity cardiac CT with substantially lower radiation dose, which is currently not possible because of technical limitations. Although cardiac CT technology has improved significantly from 16 to 320 detector rows and from single to dual source, there remain technical challenges in terms of temporal resolution, spatial resolution, radiation dose, and so on. Based on an ideal academic-industrial partnership between Virginia Tech and the GE Global Research Center (GEGR), we are motivated to advance the state-of-the-art in cardiac CT dramatically and define the next generation cardiac CT system. The overall goal of this project is to develop novel cardiac CT architectures and the associated reconstruction algorithms, and define the next-generation cardiac CT system.
The specific aims are to (1) design, analyze and compare novel cardiac CT architectures with novel sources and scanning trajectories;(2) develop analytic and iterative cardiac CT reconstruction algorithms for ROI-oriented scanning and dynamic imaging for the proposed cardiac CT architectures;and (3) evaluate and validate the proposed architectures and algorithms in theoretical studies, numerical simulations, phantom experiments and observer studies. On completion of this project, we will have singled out the most promising cardiac CT architecture and algorithms to achieve 16cm coverage, 50ms temporal resolution, 20lp/cm spatial resolution, 10HU noise level, and 5mSv effective dose simultaneously for the entire examination, with detailed specifications and performance evaluation, setting the stage for prototyping a next-generation cardiac CT system in a Phase-II project. This project will make a quantum leap in cardiac CT, in the sense that our proposed cardiac CT technology will enable significantly better diagnostic performance and bring major therapeutic benefits that affect 61.8 million Americans.

Public Health Relevance

Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. Cardiac CT technology needs major improvements to capture a fast beating heart with better image clarity at lower radiation dose. The overall goal of this project is to develop the next generation cardiac CT architecture and algorithms for significantly superior diagnostic performance and therapeutic outcomes that affect 61.8 million Americans.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Research Project (R01)
Project #
Application #
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (04))
Program Officer
Lopez, Hector
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Virginia Polytechnic Institute and State University
Engineering (All Types)
Schools of Engineering
United States
Zip Code
Yu, Hengyong; Wang, Ge (2014) SART-Type Half-Threshold Filtering Approach for CT Reconstruction. IEEE Access 2:602-613
Liu, Fenglin; Yang, Qingsong; Cong, Wenxiang et al. (2014) Dynamic bowtie filter for cone-beam/multi-slice CT. PLoS One 9:e103054
Sen Sharma, Kriti; Gong, Hao; Ghasemalizadeh, Omid et al. (2014) Interior micro-CT with an offset detector. Med Phys 41:061915
Liu, Baodong; Yu, Hengyong; Verbridge, Scott S et al. (2014) Dictionary-learning-based reconstruction method for electron tomography. Scanning 36:377-83
He, Peng; Yu, Hengyong; Bennett, James et al. (2013) Energy-discriminative performance of a spectral micro-CT system. J Xray Sci Technol 21:335-45
Wang, Ge; Yu, Hengyong (2013) The meaning of interior tomography. Phys Med Biol 58:R161-86
Liu, Fenglin; Wang, Ge; Cong, Wenxiang et al. (2013) Dynamic bowtie for fan-beam CT. J Xray Sci Technol 21:579-90
He, Peng; Wei, Biao; Wang, Steve et al. (2013) Piecewise-constant-model-based interior tomography applied to dentin tubules. Comput Math Methods Med 2013:892451
Sen Sharma, Kriti; Holzner, Christian; Vasilescu, Dragos M et al. (2013) Scout-view assisted interior micro-CT. Phys Med Biol 58:4297-314
Yang, Jiansheng; Yu, Hengyong; Jiang, Ming et al. (2012) High-order total variation minimization for interior SPECT. Inverse Probl 28:

Showing the most recent 10 out of 19 publications