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JACIII Vol.17 No.2 pp. 318-323
doi: 10.20965/jaciii.2013.p0318
(2013)

Paper:

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Detection of Artery Regions in Lower Extremity Arteries from Non-Enhanced MR Imaging Based on Particle Filter Algorithms

Yuiko Koga*, Akiyoshi Yamamoto*,**, Hyoungseop Kim*,
Joo Kooi Tan*, and Seiji Ishikawa*

*Kyusyu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka 804-8550, Japan

**Kyoaikai Tobata Kyoritu Hospital, 2-5-1 Sawami, Tobata-ku, Kitakyushu-shi, Fukuoka 804-0093, Japan

Received:
June 21, 2012
Accepted:
January 18, 2013
Published:
March 20, 2013
Creative Commons License
Keywords:
arterio sclerosis obliterans, fresh blood imaging, MR image, particle filter algorithms
Abstract
Recently, the arteries sclerosis obliterans (ASO) or called peripheral arterial disease (PAD) typically caused by chronic ischemia of limbs increases remarkably. As one of the diagnosis methods, the image diagnosis methods such as MR image are applied in medical fields. In this paper, we propose a vascular extraction method using fresh blood imaging (FBI) method, as well as apply it to computer aided diagnosis (CAD) system. Especially, to prevent the spread outside of the region and improve the segment accuracy of peripheral artery areas, we introduce particle filter algorithms. We performed our method on automatic artery regions detection using non-enhanced MR images. Furthermore, we compared the extracted results to gold standard data and analyzed accuracy by receiver operating characteristic (ROC). The effectiveness of our proposed method and satisfactory of its detected accuracy were confirmed.
Cite this article as:
Y. Koga, A. Yamamoto, H. Kim, J. Tan, and S. Ishikawa, “Detection of Artery Regions in Lower Extremity Arteries from Non-Enhanced MR Imaging Based on Particle Filter Algorithms,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.2, pp. 318-323, 2013.
Data files:
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