Ultrasound imaging is one of the non-invasive imaging, that diagnoses the disease inside
a human body and there are numerous ultrasonic devices being used frequently. Entropy as a well
known statistical measure of uncertainty has a considerable impact on the medical images. A procedure
for minimizing the entropy with respect to the region of interest is demonstrated. This new approach
has shown the experiments using Extracted Region Of Interest Based Sharpened image,
called as (EROIS) image based on Minimax entropy principle and various filters. In this turn, the
approach also validates the versatility of the entropy concept. Experiments have been performed
practically on the real-time ultrasound images collected from ultrasound centers and have shown a
significant performance. The present approach has been validated with showing results over ultrasound
images of the Human Gallbladder.
Efficacy and Applicability of Astrim, a Portable Non-invasive Device Evaluating Hemoglobin and Peripheral Circulation