@inproceedings {1590,
	title = {Region based 4D tomographic image reconstruction: application to cardiac X-ray CT},
	booktitle = {IEEE International Conference on Image Processing},
	year = {2015},
	pages = {113 - 117},
	abstract = {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.},
	doi = {10.1109/ICIP.2015.7350770},
	author = {Van Eyndhoven, Geert and Kees Joost Batenburg and Jan Sijbers}
}
