Coronary plaque classification through intravascular ultrasound radiofrequency data analysis using self-organizing map

Takahiro Iwamoto, Akira Tanaka, Yoshifumi Saijo, Makoto Yoshizawa

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Intravascular ultrasound (IVUS) is an important clinical tool in the assessment of atherosclerotic plaque in coronary artery diseases. Using IVUS, we can obtain high resolution echo image of cross-sections of the coronary artery. However, it is difficult to accurately classify plaques by using the echogram only. We propose a method of IVUS Radiofrequency (RF) signal classification using self-organizing map (SOM). Characteristic ROIs (region of interest) of the IVUS echogram of patients with coronary lesions were selected by an expert medical doctor, and the SOM learned from these ROIs. The SOM could classify the RF signals with accuracies of 95.9% for fibrous plaque, 99.5% for blood, 96.2% for calcified plaque and 16.3% for media regions. This result suggests that the proposed technique is useful for automatic characterization of plaque in coronary artery.

本文言語English
ホスト出版物のタイトル2005 IEEE Ultrasonics Symposium
ページ2054-2057
ページ数4
DOI
出版ステータスPublished - 2005 12 1
イベント2005 IEEE Ultrasonics Symposium - Rotterdam, Netherlands
継続期間: 2005 9 182005 9 21

出版物シリーズ

名前Proceedings - IEEE Ultrasonics Symposium
4
ISSN(印刷版)1051-0117

Other

Other2005 IEEE Ultrasonics Symposium
国/地域Netherlands
CityRotterdam
Period05/9/1805/9/21

ASJC Scopus subject areas

  • 音響学および超音波学

フィンガープリント

「Coronary plaque classification through intravascular ultrasound radiofrequency data analysis using self-organizing map」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル