Journal article
A spectral interior CT by a framelet-based reconstruction algorithm
Journal of X-ray science and technology, Vol.24(6), pp.771-785
11/22/2016
DOI: 10.3233/XST-160586
PMID: 27911354
Abstract
Reducing radiation dose is an important goal in medical computed tomography (CT), for which interior tomography is an effective approach. There have been interior reconstruction algorithms for monochromatic CT, but in reality, X-ray sources are polychromatic. Using a polychromatic acquisition model and motivated by framelet-based image processing algorithms, in this paper, we propose an interior reconstruction algorithm to obtain an image with spectral information assuming only one scan with a current energy-integrating detector. This algorithm is a new nonlinear iterative method by minimizing a special functional under a polychromatic acquisition model for X-ray CT, where the attenuation coefficients are energy-dependent. Experimental results validate that our algorithm can effectively reduce the beam-hardening artifacts and metal artifacts. It also produces color overlays which are useful in tumor identification and quantification.
Details
- Title: Subtitle
- A spectral interior CT by a framelet-based reconstruction algorithm
- Creators
- Yingmei Wang - School of Mathematics, Shandong University, Jinan, Shandong, ChinaGe Wang - Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USAShuwei Mao - Department of Medical Engineering, Shandong Provincial Chest Hospital, Jinan, Shandong, ChinaWenxiang Cong - Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY, USAZhilong Ji - School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing, ChinaJian-Feng Cai - Hong Kong University of Science and TechnologyYangbo Ye - Department of Mathematics, The University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Journal of X-ray science and technology, Vol.24(6), pp.771-785
- Publisher
- Netherlands
- DOI
- 10.3233/XST-160586
- PMID
- 27911354
- ISSN
- 0895-3996
- eISSN
- 1095-9114
- Language
- English
- Date published
- 11/22/2016
- Academic Unit
- Mathematics
- Record Identifier
- 9983985918302771
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