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Register a new userAuto-Detection of Femur Length Using Ultrasound Image Processing Techniques
الكشف الآلي لطول عظم الفخذ باستخدام تقنيات معالجة الصور فوق الصوتية
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يقدم البحث طريقة مبتكرة لقياس طول عظم فخذ الجنين في الصور فوق الصوتية, حيث يقوم بتقليل كمية الضجيج الموجودة في تلك الصور, و من ثم تحويلها إلى الشكل الثنائي و اجراء عمليات مورفولوجية لتجزئة عظم الفخذ و عزله عن باقي عناصر الصورة, ثم يستخدم كاشف حواف من أجل إيجاد حواف العظم, و يطبق بعد ذلك تحويل هوف لكشف الخطوط المستقيمة في الصورة, ليقوم بمراكبة المستقيمات الناتجة على الصورة الأصلية, و المستقيم الأبرز و الأطول هو المستقيم المقابل لعظم الفخذ, و يتم حساب طوله بالميلليمتر.
This Paper offers an effective method to measure the length of the femur in Fetal Ultrasound Images, it applies a series of steps starting with the reducing amount of noise in these images, and then converted them to a binary form and uses morphological operations to segment the femur and isolate it from the rest of the image objects, then it applies an Edge Detector in order to find the edges of the bone, then uses the Hough Transform to detect straight lines in the image. we apply overlapping for resulted lines on the original image, finally we choose the most significant and longest straight line which is corresponding to the length of the femur. The proposed method facilitates the measurement of the femur without the help of a physician through a series of steps.
References used
PONOMAREV. G, GELFAND. M, and KAZANOV. M, 2012- A multilevel thresholding combined with edge detection and shape-based recognition for segmentation of fetal ultrasound images. Proceedings of Challenge US: Biometric Measurements from Fetal Ultrasound Images, ISBI, pp. 17–19
ADITYA. Y, ABDULJABBAR. H, PAHL. Ch, KHIN. L, SUPRIANTO. E, 2013- Fetal Weight and Gender Estimation using Computer based Ultrasound Images Analysis. INTERNATIONAL JOURNAL OF COMPUTERS, Issue 1, Volume 7
YUSOF. SH, TAN. L, WERNER. P, ABDULJABBAR. H, PAHL. CH, BAIGI. M, HUSSIEN. R, SUPRIYANTO. E, 2013- Fetal Weight Estimation using Canny Segmented Ultrasound Images. Advances in Environment, Biotechnology and Biomedicine, ISBN: 978-1-61804-122-7
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