2015-09-01
Region-Based 4D Tomographic Image Reconstruction: Application to Cardiac X-ray CT
Publication
Publication
Presented at the
IEEE International Conference on Image Processing , Quebec, Canada
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.
Additional Metadata | |
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Keywords | cardiac CT, iterative reconstruction, region based SIRT, dynamic CT, 4D CT, dose reduction |
THEME | Life Sciences (theme 5) |
Publisher | IEEE |
Stakeholder | Unspecified |
Persistent URL | dx.doi.org/10.1109/ICIP.2015.7350770 |
Project | Quantitative electron tomography by simultaneous parameter estimation and reconstruction |
Conference | IEEE International Conference on Image Processing |
Citation |
Van Eyndhoven, G, Batenburg, K.J, & Sijbers, J. (2015). Region-Based 4D Tomographic Image Reconstruction: Application to Cardiac X-ray CT. IEEE. doi:10.1109/ICIP.2015.7350770
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