We propose a multi-pass approach to reduce cone-beam artifacts in a circular orbit cone-beam computed tomography (CT) system. Employing a large 2D detector array reduces the scan time but produces cone-beam artifacts in the Feldkamp, Davis, and Kress (FDK) reconstruction because of insufficient sampling for exact reconstruction. While the two-pass algorithm proposed by Hsieh is effective at reducing cone-beam artifacts, the correction performance is degraded when the bone density is moderate and the cone angle is large. In this work, we treated the cone-beam artifacts generated from bone and soft tissue as if they were from less-dense bone objects and corrected them iteratively. The proposed method was validated using a numerical Defrise phantom, XCAT phantom data, and experimental data from a pediatric phantom followed by image quality assessment for FDK, the two-pass algorithm, the proposed method, and the total variation minimization-based iterative reconstruction (TV-IR). The results show that the proposed method was superior to the two-pass algorithm in cone-beam artifact reduction and effectively reduced the overcorrection by the two-pass algorithm near bone regions. It can also be observed that the proposed method produced better correction performance with fewer iterations than the TV-IR algorithm. A qualitative evaluation with mean-squared error, structural similarity, and structural dissimilarity demonstrated the effectiveness of the proposed method.
|Number of pages||19|
|Publication status||Published - 2019 Apr 1|
Bibliographical noteFunding Information:
Ministry of Science and ICT (MSIT), Korea, under the "ICT Consilience Creative Program" (IITP-2018-2017-0-01015) supervised by the Institute for Information & communications Technology Promotion (IITP); Bio & Medical Technology Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2018R1A1A1A05077894, 2018M3A9H6081483, 2017M2A2A4A01070302, 2017M2A2A6A01019663, and 2017M2A2A6A02087175).
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All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics