High-density objects such as metal prostheses, surgical clips, or dental fillings generate streak-like artifacts in computed tomography images. In this study, we present a novel method for cone-beam CT metal artifact reduction by approximate missing information into the corrupted sinogram. We used sinogram decomposition to compute the structural tensor of the sinogram to estimate the direction. The proposed algorithm consists of two main steps. The first step decomposes the sinogram to estimate rough structure of the sinogram on the metal corrupted part. Using the decomposed sinogram, we estimate the missing sinogram on the second part. We compared the result of our algorithm with metal artifact reduction with different interpolation methods. We showed that our algorithm outperformed other interpolation algorithms such as linear, moving least squares, and adaptive moving least squares algorithms.
|Title of host publication||2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2016 Oct 3|
|Event||2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 - San Diego, United States|
Duration: 2015 Oct 31 → 2015 Nov 7
|Name||2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015|
|Other||2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015|
|Period||15/10/31 → 15/11/7|
Bibliographical noteFunding Information:
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (IITP- 2015-R0346-15-1008) supervised by the IITP(Institute for Information and Communications Technology Promotion)
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging