X-ray computed tomography (CT) is a powerful tool for noninvasive cardiac imaging. However, radiation dose is a major issue. In this paper, we propose an iterative reconstruction method that reduces the radiation dose without compromising image quality. This is achieved by exploiting prior knowledge in two ways: the reconstructed object is assumed to consist of both stationary and dynamic regions over time and the dynamic region is assumed to have sparse structures after a proper sparsifying space-time transform. Experiments on simulation data and a real micro-CT cardiac mouse dataset show that, with comparable image quality, the radiation dose can be substantially reduced compared to conventional acquisition/reconstruction protocols.
, , , , ,
Quantitative electron tomography by simultaneous parameter estimation and reconstruction
IEEE International Conference on Image Processing
Scientific Computing

Van Eyndhoven, G., Batenburg, J., & Sijbers, J. (2015). Region-Based 4D Tomographic Image Reconstruction: Application to Cardiac X-ray CT. IEEE. doi:10.1109/ICIP.2015.7350770