روش های اندازه گیری میزان سکته و تقسیم بندی حفره از تصاویر دستگاه ثبت ضربان قلب : بررسی
CAVITY SEGMENTATION AND STROKE VOLUME MEASUREMENT METHODS FROM ECHOCARDIOGRAPHIC IMAGES: REVIEW
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
thescipub.com |
سال انتشار |
2014 |
فرمت فایل |
PDF |
کد مقاله |
24268 |
پس از پرداخت آنلاین، فوراً لینک دانلود مقاله به شما نمایش داده می شود.
چکیده (انگلیسی):
The complexity and criticality of heart disease diagnosis and treatment have frequently attracted the
attention of researchers to develop approaches that can handle accurate clinical assessments. One of these
complexities is measuring the Right Ventricle stroke volume. Therefore, different cardiac imaging
techniques have been developed to help specialists in their regular clinical work and in the operating theatre
to assist in the diagnosis, monitoring of the treatment and to ensure the success of a cardiac intervention as
far as possible. Echocardiography is one of the cardiac imaging techniques and is considered as the most
effective imaging technique as it is minimally invasive, quick and the cheapest method. Many studies have
been conducted on Right Ventricle assessment from echocariographic images. This review is aimed at
presenting the previous technical elements and algorithms used to measure the ventricle stroke volume from
echocardiographic images. The review focuses on the five technical approaches that have been used, which
are pre-processing, End-Distally (ED) and End-Systolic (ES) frame detection, cavity segmentation, the
stoke volume measurement and 3D reconstruction. Finally, a summary will conclude this study.
کلمات کلیدی مقاله (فارسی):
تصوير اکو کارديوگرافي ، ميزان سکته ، بطن چپ ، پايان انقباض و انبساط قلب ، اکو کارديوگرافي سه بعدي ، پردازش اوليه ، تقسيم بندي ، تصوير سه بعدي ، جهت اَبَر نقطه
کلمات کلیدی مقاله (انگلیسی):
Keywords: Echocardiography Image, Stroke Volume, Right Ventricle (RV), Left Ventricle (LV), End- Diastolic (ED) and End-Systolic (ES), Three Dimensional Echocardiography (3DE), Preprocessing, Segmentation, 3D illustration, Cloud Point Orientation
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