Abstract
Ultrasound Imaging is one of the technique used to study inside human body with images generated using high frequency sounds waves. The applications of ultrasound images include examination of human body parts such as Kidney, Liver, Heart and Ovaries. This paper mainly concentrates on ultrasound images of ovaries. The detection of follicles in ultrasound images of ovaries is concerned with the follicle monitoring during the diagnostic process of infertility treatment of patients.Monitoring of follicle is important in human reproduction. This paper presents a method for follicle detection in ultrasound images using Bidimensional Empirical Mode Decomposition and Mathematical morphology. The proposed algorithm is tested on sample ultrasound images of ovaries for identification of follicles and classifies the ovary into three categories, normal ovary, cystic ovary and polycystic ovary. The experiment results are compared qualitatively with inferences drawn by medical expert manually and this data can be used to classify the ovary images.
Highlights
PCOS (Polycystic Ovarian Syndrome) is one of the common disorder seen in females of reproductive age
The BEMD process and Intrinsic Mode Functions (IMF) of the ovary ultrasound image are shown in figure 3 and figure 4
The main steps of the edge detection using BEMD are summed up as follows: 1. The ultrasound image is processed by Bi Histogram Equalization [8], an image with sharper contrast is obtained
Summary
PCOS (Polycystic Ovarian Syndrome) is one of the common disorder seen in females of reproductive age. A days the diagnosis performed by doctors is to manually count the number of follicular cysts in the ovary, which is used to judge whether PCOS exists or not. This manual counting may lead to problems of variability, reproducibility and low efficiency. In ultrasound image of PCOS affected ovary, large number of small follicles (typically 12 or more and about 2-9 mm in diameter) can be seen distributed along the periphery of the ovary, classically described as 'necklace formation [3]. The paper is organized as follows: Section II presents Empirical Mode Decomposition, Section III presents, Identification of follicles in Ovary Ultrasound Images, Section IV presents Experimental results, and Section V reports conclusion
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