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Proceedings Paper

Computerized detection of unruptured aneurysms in MRA images: reduction of false positives using anatomical location features
Author(s): Yoshikazu Uchiyama; Xin Gao; Takeshi Hara; Hiroshi Fujita; Hiromichi Ando; Hiroyasu Yamakawa; Takahiko Asano; Hiroki Kato; Toru Iwama; Masayuki Kanematsu; Hiroaki Hoshi
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Paper Abstract

The detection of unruptured aneurysms is a major subject in magnetic resonance angiography (MRA). However, their accurate detection is often difficult because of the overlapping between the aneurysm and the adjacent vessels on maximum intensity projection images. The purpose of this study is to develop a computerized method for the detection of unruptured aneurysms in order to assist radiologists in image interpretation. The vessel regions were first segmented using gray-level thresholding and a region growing technique. The gradient concentration (GC) filter was then employed for the enhancement of the aneurysms. The initial candidates were identified in the GC image using a gray-level threshold. For the elimination of false positives (FPs), we determined shape features and an anatomical location feature. Finally, rule-based schemes and quadratic discriminant analysis were employed along with these features for distinguishing between the aneurysms and the FPs. The sensitivity for the detection of unruptured aneurysms was 90.0% with 1.52 FPs per patient. Our computerized scheme can be useful in assisting the radiologists in the detection of unruptured aneurysms in MRA images.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69151Q (17 March 2008); doi: 10.1117/12.770008
Show Author Affiliations
Yoshikazu Uchiyama, Gifu Univ. (Japan)
Xin Gao, Gifu Univ. (Japan)
Takeshi Hara, Gifu Univ. (Japan)
Hiroshi Fujita, Gifu Univ. (Japan)
Hiromichi Ando, Gifu Municipal Hospital (Japan)
Hiroyasu Yamakawa, Matsunami General Hospital (Japan)
Takahiko Asano, Gifu Univ. (Japan)
Hiroki Kato, Gifu Univ. (Japan)
Toru Iwama, Gifu Univ. (Japan)
Masayuki Kanematsu, Gifu Univ. (Japan)
Hiroaki Hoshi, Gifu Univ. (Japan)

Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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