Progressive ROI coding and diagnostic quality for medical image compression

Alberto Signoroni, Riccardo Leonardi, Sarah A. Rajala, Majid Rabbani
1998 Visual Communications and Image Processing '98  
Paper Abstract This work addresses the delicate problem of lossy compression of medical images. More specifically, a selective allocation of coding resources is introduced based on the concept of 'diagnostic interest' and an interactive methodology based on a new measure of 'diagnostic quality'. The selective allocation of resources is made possible by a selection a priori of regions of specific interest for diagnostic purpose. The idea is to change the precision of representation in a
more » ... ation in a transformed domain of region of particular interest, through a weighting procedure by an on-line user-defined quantization matrix. The overall compression method is multi-resolution, provides for an embedded generation of the bit-stream and guarantees for a good ratedistortion trade-off, at various bit-rates, with spatially varying reconstruction quality. This work also analyzes the delicate issue of a professional usage of lossy compression in a PACS environment. The proposed compression methodology gives interesting insights in favor of using lossy compression in a controlled fashion by the expert radiologist. Most of the ideas presented in this work have been confirmed by extensive experimental simulations involving medical expertise.
doi:10.1117/12.298319 fatcat:mfrula6anncm3eqw2yeu57jpd4