Abstract: The extensive use of medical imaging has become a routine practice in modern medical health care centres. It is used almost in every stage of patient management system. However, it is intuition or expertise of physician to choose a modality or alternative modality wisely for managing the patient as single modality has limitations. Therefore, single modality is necessarily ruled out in diagnosis and treatment processes. There are millions of imaging procedures done every week worldwide. Medical imaging is developing rapidly due to developments in image processing techniques including image recognition, analysis, and enhancement. Image processing increases the percentage and amount of detected tissues. This chapter presents the application of both simple and sophisticated image analysis techniques in the medical imaging field. This chapter also summarizes how to exemplify image interpretation challenges using different image processing algorithms such as k-means, ROI-based segmentation, and watershed techniques.
Keywords: Medical, imaging, image processing technique
|
DOI:
10.17148/IJARCCE.2022.114186
