Segmentation of calcification regions in intravascular ultrasound images by adaptive thresholding

被引：6

作者：

dos Santos, Esmeraldo ^{[1
]}

Saijo, Yoshifumi ^{[1
]}

Yambe, Tomoyuki ^{[1
]}

Tanaka, Akira ^{[2
]}

Yoshizawa, Makoto ^{[3
]}

机构：

[1] Tohoku Univ, Inst Dev Aging & Canc, Aoba Ku, 4-1 Seiryo Machi, Sendai, Miyagi 9808575, Japan

[2] Fukushima Univ, Fac Symbiot Syst Sci, Fukushima 9601296, Japan

[3] Tohoku Univ, Informat Synergy Ctr, Sendai, Miyagi 9808579, Japan

来源：

19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2006年

关键词：

intravascular ultrasound; image segmentation; adaptive thresholding;

D O I：

10.1109/CBMS.2006.142

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An innovative application of adaptive thresholding is used for calcification regions detection in intravascular ultrasound images. A priori knowledge about the acoustic shadow that usually follows the calcification regions is used as discriminant of other bright regions of the image. Tests were carried out with 20 in vivo coronary artery images obtained from different patients. This proposed algorithm presented specificity of 88% and sensitivity of 84%. A ROC curve, whose AUC was equal to 0.87, was plotted for evaluation of the algorithm performance.

引用

页码：446 / +

页数：3

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