NDLI: Preliminary study of intensity weighted region-of-interesting image reconstruction using iterative algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kihong Son Jiseoc Lee Younjeong Lee Jin Sung Kim Seungryong Cho
Copyright Year	2013
Description	Author affiliation: Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea (Kihong Son; Jiseoc Lee; Younjeong Lee; Seungryong Cho) \|\| Samsung Med. Center, Seoul, South Korea (Jin Sung Kim)
Abstract	Sparse-view CT inspired by a compressive sensing (CS) theory, which acquires sparsely sampled data in projection angles to reconstruct volumetric images of the scanned object, is under active research for low-dose imaging. Also, region of interest (ROI) imaging method is one of the reasonable approaches to reducing the integral dose to the patient and the risk of overdose. In this study, we combined the two approaches together to achieve an ultra-low-dose imaging: a sparse-view imaging and the intensity-weighted region-of-interest (IWROI) imaging. IWROI imaging technique is particularly interesting because it can reduce the imaging radiation dose substantially to the structures away from the imaging target, while allowing a stable solution of the reconstruction problem in comparison with the interior problem. We used a total-variation (TV) minimization algorithm that exploits the sparseness of the image derivative magnitude and can reconstruct images from sparse-view data. In this study, we implemented an imaging mode that combines a sparse-view imaging and an ROI imaging. We obtained promising results and believe that the proposed scanning approach can help reduce radiation dose to the patients while preserving good quality images for applications such as image-guided radiation therapy. We are in progress of applying the method to the real data.
Starting Page	1
Ending Page	3
File Size	283892
Page Count	3
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Computed tomography TV Minimization Biomedical applications of radiation Image quality
Content Type	Text
Resource Type	Article

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