کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1760524 1019607 2013 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fully Automatic Plaque Segmentation in 3-D Carotid Ultrasound Images
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
پیش نمایش صفحه اول مقاله
Fully Automatic Plaque Segmentation in 3-D Carotid Ultrasound Images
چکیده انگلیسی
Automatic segmentation of the carotid plaques from ultrasound images has been shown to be an important task for monitoring progression and regression of carotid atherosclerosis. Considering the complex structure and heterogeneity of plaques, a fully automatic segmentation method based on media-adventitia and lumen-intima boundary priors is proposed. This method combines image intensity with structure information in both initialization and a level-set evolution process. Algorithm accuracy was examined on the common carotid artery part of 26 3-D carotid ultrasound images (34 plaques ranging in volume from 2.5 to 456 mm3) by comparing the results of our algorithm with manual segmentations of two experts. Evaluation results indicated that the algorithm yielded total plaque volume (TPV) differences of −5.3 ± 12.7 and −8.5 ± 13.8 mm3 and absolute TPV differences of 9.9 ± 9.5 and 11.8 ± 11.1 mm3. Moreover, high correlation coefficients in generating TPV (0.993 and 0.992) between algorithm results and both sets of manual results were obtained. The automatic method provides a reliable way to segment carotid plaque in 3-D ultrasound images and can be used in clinical practice to estimate plaque measurements for management of carotid atherosclerosis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasound in Medicine & Biology - Volume 39, Issue 12, December 2013, Pages 2431-2446
نویسندگان
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