Abstract
Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.
Original language | English |
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Title of host publication | IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479986330 |
DOIs | |
Publication status | Published - 7 Oct 2015 |
Event | 12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 - Macau, China Duration: 16 Sept 2015 → 18 Sept 2015 |
Publication series
Name | IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings |
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Conference
Conference | 12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 |
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Country/Territory | China |
City | Macau |
Period | 16/09/15 → 18/09/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- compressed sensing
- digital breast tomosynthesis
- total variation