مرزبندی نواحی سایه‌دار در تصاویر فراصوت داخل عروقی به کمک کانتور‌های فعال
محورهای موضوعی : مهندسی برق و کامپیوترمریم بسیج 1 * , محمدرضا یزدچی 2 , پیمان معلم 3 , آرش تاکی 4
1 - دانشگاه اصفهان
2 - دانشگاه اصفهان
3 - دانشگاه اصفهان
4 - دانشگاه صنعتی مونیخ آلمان
کلید واژه: آستانه‌گذاری اتسو تصویربرداری فراصوت داخل عروقی تشخیص سایه کانتور‌های فعال,
چکیده مقاله :
تصویربرداری فراصوت داخل عروقی (IVUS)، به منظور دریافت اطلاعات دقیق‌تری از اندازه و جنس پلاکهای تشکیل‌شده داخل عروق کرونری نسبت به آنژیوگرافی انجام می‌شود. گاهی در این تصاویر مناطقی تاریک در پشت پلاکهای کلسیم تشکیل می‌شود که پردازش این تصاویر را مشکل می‌سازد. این مقاله به ارائه یک روش جدید جهت تشخیص و مرزبندی سایه‌ها در تصاویر IVUS می‌پردازد. در الگوریتم پیشنهادی از آستانه‌گذاری اتسو جهت شناسایی محل تشکیل سایه و از کانتور‌های فعال جهت تشخیص مرز‌ها در این ناحیه استفاده می‌شود. بر طبق آزمایش انجام‌شده روی 30 تصویر نمونه، این الگوریتم با حساسیتی برابر با 86% به درستی قادر به تشخیص مناطق سایه‌دار می‌باشد.
Intra vascular imaging is used for extracting more accurate information about the size and characteristics of plaques than coronary angiography. Sometimes shadows appear behind the calcification plaques that it makes some problem to process these images automatically. This paper describes a new approach for shadows region and border detection in Intra Vascular Ultrasound images. In the proposed algorithm, Otsu thresholding is utilized for identification of shadows location and the Active contours without edge is used for shadows border detection. According to experiments conducted on 30 samples, this proposed algorithm can able to detect shadow regions correctly with sensitivity of 86%.
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