In X-ray CT imaging, the metal objects produce significant beam hardening and streak artifacts in the reconstructed CT images. To reduce the metal artifacts, several sinogram inpainting based methods have been proposed, where projection data within the metal trace region of the sinogram are treated as missing, and estimated by interpolation. However, they generally assume data truncation does not occur and all metal objects reside inside the FOV. For small FOV imaging such as dental CT, these assumptions are violated, and thus using traditional inpainting based MAR would not be effective. In this work, we proposed a new MAR method to reduce the metal artifacts effectively when the metal objects reside outside the FOV for the small FOV imaging. The proposed method synthesizes the projection data of small FOV image by conducting forward projection, which is treated as the originally measured sinogram. Thus the effect of metal objects outside the FOV was minimized during the inpainting procedure. The performance of the proposed method is compared with the traditional linear MAR and NMAR. The results showed the effectiveness of the proposed method to reduce the residual artifacts, which were present in the traditional linear MAR and NMAR images.
|Title of host publication||15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine|
|Editors||Samuel Matej, Scott D. Metzler|
|Publication status||Published - 2019|
|Event||15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 - Philadelphia, United States|
Duration: 2019 Jun 2 → 2019 Jun 6
|Name||Proceedings of SPIE - The International Society for Optical Engineering|
|Conference||15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019|
|Period||19/6/2 → 19/6/6|
Bibliographical noteFunding Information:
This research was supported by Ministry of Science, ICT and Future Planning (IITP-2018-2018-0-01 015) and National Research Foundation of Korea (2017M2A2A4A01070302, 2017M2A2A6A01019 663, 2017M2A2A6A02087175, 2018R1A1A1A05077894, 2018M3A9H6081483).
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering