Digital tomosynthesis aided by low-resolution exact computed tomography
Kai Zeng1, Hengyong Yu, Shiying Zhao
1VT-WFU School of Biomedical Engineering & Sciences, Virginia Polytechnic Institute & State University, Blacksburg, VA, USA.
Abstract:
Tomosynthesis reconstructs 3-dimensional images of an object from a significantly fewer number of projections as compared with that required by computed tomography (CT). A major problem with tomosynthesis is image artifacts associated with the data incompleteness. In this article, we propose a hybrid tomosynthesis approach to achieve higher image quality as compared with competing methods. In this approach, a low-resolution CT scan is followed by a high-resolution tomosynthesis scan. Then, both scans are combined to reconstruct images. To evaluate the image quality of the proposed method, we design a new breast phantom for numerical simulation and physical experiments. The results show that images obtained by our approach are clearly better than those obtained without such a CT scan.
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