Ketki C Pathak* and Sejal Patel
Electronics and Communicating Engineering Department, Sarvajanik College of Engineering and Technology, Gujarat Technological University, India
*Corresponding Author:Ketki C Pathak, Electronics and Communicating Engineering Department, Sarvajanik College of Engineering and Technology, Gujarat Technological University, India.
Received: June 30, 2022; Published: November 12, 2022
Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g., face recognition, tracking of moving cars and people etc. it is very difficult to visualize complex structures in three-dimensional image volumes without cutting away large portions of, perhaps important, data. Tools, such as segmentation, can aid the medical staff in browsing through such large images by highlighting objects of particular importance. In addition, segmentation in particular can output models of organs, tumors, and other structures for further analysis, quantification or simulation. A different imaging tests, such as Ultrasound, CT or MRI scans, or X-rays. Ultrasound images/videos are Analysis are crucial, because it is non-invasive and is usually painless. It is widely available, easy-to-use and less expensive than other imaging methods. Ultrasound, also called sonography, uses sound waves to develop ultrasound images of what's going on inside the body. Ultrasound image analysis is used in order to quantify the status of a diseased stroke individually and take possible action by identifying the exact problem and the area of interest, extract information and propose some possible treatment. The segmentation techniques like balloon, active contour, Hough transform, Bayesian model, deformable model may be used to detect atherosclerotic carotid plaque for analysis.
Keywords: Segmentation; Ultrasound Medical Imaging; Active Contour; Hough Transform; Carotid Plaque
Citation: Ketki C Pathak and Sejal Patel. “Segmentation Method for Medical Ultrasound Signal Analysis”.Acta Scientific Orthopaedics 5.12 (2022): 103-115.
Copyright: © 2022 Ketki C Pathak and Sejal Patel. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.