Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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An Iterative Image Reconstruction Method for the Region-of-Interest CT Assisted from Exterior Projection Data

Exterior 투영데이터를 이용한 Region-of-Interest CT의 반복적 영상재구성 방법

  • Jin, Seung Oh (Advanced Medical Device Research Center, KERI) ;
  • Kwon, Oh-Kyong (Department of Nanoscale Semiconductor Engineering, Hanyang University)
  • 진승오 (한국전기연구원 첨단의료기기연구센터) ;
  • 권오경 (한양대학교 나노반도체공학과)
  • Received : 2014.08.07
  • Accepted : 2014.09.02
  • Published : 2014.10.31
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Abstract

In an ordinary CT scan, a large number of projections with full field-of-view (FFOV) are necessary to reconstruct high resolution images. However, excessive x-ray dosage is a great concern in FFOV scan. Region-of-interest (ROI) CT or sparse-view CT is considered to be a solution to reduce x-ray dosage in CT scanning, but it suffers from bright-band artifacts or streak artifacts giving contrast anomaly in the reconstructed image. In this study, we propose an image reconstruction method to eliminate the bright-band artifacts and the streak artifacts simultaneously. In addition to the ROI scan for the interior projection data with relatively high sampling rate in the view direction, we get sparse-view exterior projection data with much lower sampling rate. Then, we reconstruct images by solving a constrained total variation (TV) minimization problem for the interior projection data, which is assisted by the exterior projection data in the compressed sensing (CS) framework. For the interior image reconstruction assisted by the exterior projection data, we implemented the proposed method which enforces dual data fidelity terms and a TV term. The proposed method has effectively suppressed the bright-band artifacts around the ROI boundary and the streak artifacts in the ROI image. We expect the proposed method can be used for low-dose CT scans based on limited x-ray exposure to a small ROI in the human body.

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References

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