Discriminating the presence of the cerebral aneurysm using shape features obtained from medical images of the cerebral vessel

Kosei Kikuchi*, Takanobu Yagi, Xu Rong, Jun Ohya

*この研究の対応する著者

研究成果査読

抄録

Towards the establishment of the preventive medical care for the cerebral aneurysm, this paper proposes an SVM based method for building a discrimination function that classifies the presence or absence of the cerebral aneurysm using the cerebral blood vessel's shape features obtained from medical images such as MR images. Using the discrimination function, this paper explores how much each feature affects the onset of the cerebral aneurysm. This paper deals with the internal carotid artery (ICA). The blood vessel (ICA)'s shape features are extracted from medical images of 18 persons without cerebral aneurysm and 13 patients with a cerebral aneurysm. From the medical image, the cross sections and centerline of the ICA are obtained. The cross sections are divided into nine sections along the centerline. Shape features such as the cross sectional area, its circularity, curvature, torsion, length of the centerline and branch angles are obtained in each section; as a total, 113 features including the mean and variance of some features in each section are used for building the SVM. As a result of conducting the experiments, the accuracy for discriminating the presence/absence of the aneurysm by the SVM is 90.3%. In the obtained discrimination function, the coefficient values of the function can be considered how much the features affect the onset of the aneurysm. The features that could significantly cause the onset of the cerebral aneurysm are clarified, and the reasons why these features are significant are discussed.

本文言語English
ページ(範囲)2831-2836
ページ数6
ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
Part F138660
DOI
出版ステータスPublished - 2018 1 1
イベントIntelligent Robotics and Industrial Applications using Computer Vision 2018, IRIACV 2018 - Burlingame, United States
継続期間: 2018 1 282018 2 1

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用
  • ソフトウェア
  • 電子工学および電気工学
  • 原子分子物理学および光学

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