Compression of Medical Images - Lossless High Quality Image Data Storage and Retrieval

By Peter Devadoss C

Medical image plays an imperative role in analyzing and diagnosing the diseases thereby helps the physician to save the life of patients Day by day the utilization of medical images tends to increase enormously which leads to increase in storage requirements for the medical images Generally medical images of high quality consume more bandwidth The raw medical images such as magnetic resonance imaging computer tomography Xray and ultrasound imaging occupy some mega bytes of storage space Commonly these images are stored in hospitals and health care centre for more than two decades In some special cases these images are transmitted to specialist for further medical diagnosis and for medical consultation from experts Though there is vast advancement in devices for data storage still there is a need to develop advanced techniques to minimize the storage requirement for medical images To decrease the storage space and increase the transmission speed medical images are compressed into files of smaller size During the compression and decompression even a minute loss in medical image leads to incorrect diagnosis and interpretation Therefore transmission and storage of medical image is ever challenging task and needs an improved lossless compression algorithm This work consists of implementation of some compression schemes for compressing the medical images based on region of interest Various region based compression schemes are implemented to compress medical images to preserve the significant diagnostic features.

• Format: Paperback
• Language: English
• ISBN: 1006056459
• ISBN13: 9781006056451
• Release Date: March 2022
• Publisher: Blurb
• Length: 178 Pages
• Weight: 0.54 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"