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Automatic heart positioning method in computed tomography scout images

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Li, Hong; | Liu, Kaihua | Sun, Hang | Bao, Nan | Wang, Xu | Tian, Shi | Qi, Shouliang | Kang, Yan; ;

Affiliations: School of Sino-Dutch Biomedical & Information Engineering, Northeastern University, Shenyang 110819, China | Key Laboratory of Medical Imaging Computing (Ministry of Education), Northeastern University, Shenyang 110819, China

Note: [] Corresponding author: Yan Kang, Sino-Dutch Biomedical and Information Engineering School, Northeastern University, No. 11, Lane 3, Wenhua Road, Heping District, Shenyang 110819, Liaoning, China. Tel.: +86 24 83676663; Fax: +86 24 83681955; E-mail: [email protected].

Keywords: CT scout, heart positioning, ROI scan, automatic positioning method

DOI: 10.3233/BME-141150

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3277-3286, 2014

Published: 2014
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Abstract

Computed tomography (CT) radiation dose can be reduced significantly by region of interest (ROI) CT scan. Automatically positioning the heart in CT scout images is an essential step to realize the ROI CT scan of the heart. This paper proposed a fully automatic heart positioning method in CT scout image, including the anteroposterior (A-P) scout image and lateral scout image. The key steps were to determine the feature points of the heart and obtaining part of the heart boundary on the A-P scout image, and then transform the part of the boundary into polar coordinate system and obtain the whole boundary of the heart using slant elliptic equation curve fitting. For heart positioning on the lateral image, the top and bottom boundary obtained from A-P image can be inherited. The proposed method was tested on a clinical routine dataset of 30 cases (30 A-P scout images and 30 lateral scout images). Experimental results show that 26 cases of the dataset have achieved a very good positioning result of the heart both in the A-P scout image and the lateral scout image. The method may be helpful for ROI CT scan of the heart.

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