Abstract
Image analysis is an important technique that can help specialists localize, detect, and segment objects in different types of medical images such as MRI, CTs, and ultrasounds (US). In this research, we use US images to identify and segment the enlarged veins in the pampiniform venous plexus, which is called varicocele. The proposed method aims to determine whether a potential patient is affected or not. This method was evaluated using 90 US images that were taken of the left testicles of 90 patients in the Supine position. This system analyzes US images in three stages which are; preprocessing, processing, and edge detection. The Region Of Interest (ROI) of the pampiniform plexus area was extracted using Otsu segmentation with different parameters (0.1, 0.2, 0.17) and different color modes (Grayscale, YCbCr, RGB). In the processing stage, different denoising filters were used. Eventually, in the edge detection stage, four edge detectors were applied which are Canny, Soble, Prewitt, and Roberts. Results showed that the best accuracy in detecting varicocele was 78% when the YCbCr color mode yellow (y) channel was used with 0.1 Otsu segmentation and the Canny edge detector. The system also showed a Sensitivity of 91%, as the test was able to detect 91% of the people with Varicocele, and the Specificity value was 39%.
Highlights
C OMPUTER vision and image analysis technology operate in various engineering fields such as in object detection [1], [2], 3D image reconstruction [3], and medical image analysis [4]
Our result showed that the accuracy of determining if a patient is affected by varicocele was 78% utilizing the YCbCr color mode yellow (y) channel used with 0.1 Otsu segmentation and the Canny edge detector
The supine position was chosen in this research because it is considered by many physicians as the most reliable in diagnosing varicocele
Summary
C OMPUTER vision and image analysis technology operate in various engineering fields such as in object detection [1], [2], 3D image reconstruction [3], and medical image analysis [4]. Ultrasound (US) is a widely used medical imaging technique. It has advantages and characteristics that make it accessible to all patients. The need for segmentation of US images appeared in many medical examinations. It is used in obstetrics for obtaining fetus measurements like femur length and head circumference, and in cardiovascular application [5]. It could be used in vessel detection of various types such as intercostal veins and pampiniform plexus veins
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