THE SONIFICATION APPROACH TO CAPTURE HARDLY DETECTABLE DETAILS IN MEDICAL IMAGES
Abstract
The original contribution of this paper consists in application of the sonification technique in capturing the hardly detectable details in medical images. Sonification theory translates data of the image points into acoustic signals. By reversing back, the sound samples into new images, the hidden details of the old images can be discovered. The sound is capable to discover what the eyes do not see. In contrast to sonoelastic theory which is limited to low examination frequencies imposed by the high attenuation of acoustic waves, the sonification theory is extending the range of frequencies to areas of interest. The approach is exercised on fictive images of fibrotic rat liver samples inspired from a study of effects of ginkgo biloba leaf extract against hepatic toxicity induced by methotrexate in rats.