Automatic detection of the intimal and the adventitial layers of the common carotid artery wall in ultrasound B-mode images using snakes

Da Chuan Cheng, Arno Schmidt-Trucksäss, Kuo-Sheng Cheng, Markus Sandrock, Qin Pu, Hans Burkhardt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

Abstract

This study presents a novel automatic system for detecting the intimal and adventitial layers of the far common carotid artery (CCA) by applying snake techniques. Cohen's snake is also modified and some criteria are added for our applications. In addition, the oscillating problem of using snakes is solved by properly choosing the time step from analysis of the frequency response of the filters. The snake scheme combined with a time diminishing gravity window and an external force makes it possible to detect the intima-media complex of the far CCA. Besides, a cost function assists the snake in selecting the optimal shape of adventitia layer. This mechanism is also helpful when there are plaques on the CCA wall. Moreover, this study compares the proposed snake and ziplock snake with respect to the manual extraction contour. According to that comparison, the system can automatically detect the intimal and adventitial layers. In addition to that it does not need any manual correction and it is noise-resistant; the proposed system allows a user to quantitatively measure an important predictor of heart infarction and strokes.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Analysis and Processing, ICIAP 1999
PublisherIEEE Computer Society
Pages452-457
Number of pages6
ISBN (Print)0769500404, 9780769500409
DOIs
Publication statusPublished - 1999 Jan 1
Event10th International Conference on Image Analysis and Processing, ICIAP 1999 - Venice, Italy
Duration: 1999 Sep 271999 Sep 29

Publication series

NameProceedings - International Conference on Image Analysis and Processing, ICIAP 1999

Other

Other10th International Conference on Image Analysis and Processing, ICIAP 1999
CountryItaly
CityVenice
Period99-09-2799-09-29

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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