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PALO ALTO , Calif., March 13 /PRNewswire/ -- Currently lossy algorithms arenot used by radiologists in primary diagnosis because physicians and radiologists are concerned with the legal consequences of an incorrect diagnosis based on a lossy compressed image. By developing lossless compression algorithms one can prevent diagnostically relevant information from being lost and as well as reduce the required data storage space.
Frost & Sullivan Healthcare-Technical Insights(http://www.technicalinsights.frost.com ) finds that Information andcommunications technologies are advancing quickly, and the issues around storing, processing, and transmitting large data files such as images are important to many sectors and should be resolved shortly. Lossless compression schemes have an important role to play in medical image storage, retrieval and transmission. These schemes would be apt when handling large datasets over networks with limited and/or variable bandwidth and when the option of decompression without distortion has to be retained.
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To have lossless compression algorithms for medical images with high compression rates and reduced storage, transmission time would be the greatest challenge. Especially in the case of diagnostics, a challenge would be when some of the diagnostically relevant information is lost.
"Medical images require hybrid schemes where regions of interest are compressed without any loss and other less important and redundant regions with lossy schemes," notes Frost & Sullivan research analyst Preethi Vaidyanathan. "Therefore future medical compression schemes would requiresuch a strategy."