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Proceedings Paper

Computerized scheme for detection of arterial occlusion in brain MRA images
Author(s): Masashi Yamauchi; Yoshikazu Uchiyama; Ryujiro Yokoyama; Takeshi Hara; Hiroshi Fujita; Hiromichi Ando; Hiroyasu Yamakawa; Toru Iwama; Hiroaki Hoshi
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Paper Abstract

Magnetic resonance angiography (MRA) is routinely employed in the diagnosis of cerebrovascular disease. Unruptured aneurysms and arterial occlusions can be detected in examinations using MRA. This paper describes a computerized detection method of arterial occlusion in MRA studies. Our database consists of 100 MRA studies, including 85 normal cases and 15 abnormal cases with arterial occlusion. Detection of abnormality is based on comparison with a reference (normal) MRA study with all the vessel known. Vessel regions in a 3D target MRA study is first segmented by using thresholding and region growing techniques. Image registration is then performed so as to maximize the overlapping of the vessel regions in the target image and the reference image. The segmented vessel regions are then classified into eight arteries based on comparison of the target image and the reference image. Relative lengths of the eight arteries are used as eight features in classifying the normal and arterial occlusion cases. Classifier based on the distance of a case from the center of distribution of normal cases is employed for distinguishing between normal cases and abnormal cases. The sensitivity and specificity for the detection of abnormal cases with arterial occlusion is 80.0% (12/15) and 95.3% (81/85), respectively. The potential of our proposed method in detecting arterial occlusion is demonstrated.

Paper Details

Date Published: 30 March 2007
PDF: 9 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65142C (30 March 2007); doi: 10.1117/12.708720
Show Author Affiliations
Masashi Yamauchi, Graduate School of Medicine, Gifu Univ. (Japan)
Yoshikazu Uchiyama, Graduate School of Medicine, Gifu Univ. (Japan)
Ryujiro Yokoyama, Graduate School of Medicine, Gifu Univ. (Japan)
Takeshi Hara, Graduate School of Medicine, Gifu Univ. (Japan)
Hiroshi Fujita, Graduate School of Medicine, Gifu Univ. (Japan)
Hiromichi Ando, Gifu Municipal Hospital (Japan)
Hiroyasu Yamakawa, Chuno-Kousei Hospital (Japan)
Toru Iwama, Graduate School of Medicine, Gifu Univ. (Japan)
Hiroaki Hoshi, Graduate School of Medicine, Gifu Univ. (Japan)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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