RESUMEN
As the increasing of digital imagilag modalities,a close-at-hand challenge to deal with is the storage and transmission requirement of enormous data of medical images.Compression is one of the indispensable techniques to solve this problem.A comprehensive review and discussions are made in this paper over the medial image compression techniques applied in medical image domain,including the latest achievements in this field.Different compression algorithm including ROI-based coding,lossless compression,DWT,neural net are introduced and some quality evaluation methods are introduced.Foreground of the field is given from our point of view.
RESUMEN
This paper focuses on lossless medical image compression methods for medical images that operate on three-dimensional(3-D) irreversible integer wavelet transform. We offer an application of the Set Partitioning in Hierarchical Trees(SPIHT) algorithm to medical images, using a 3-D wavelet decomposition and a 3-D spatial dependence tree. The wavelet decomposition is accomplished with integer wavelet filters implemented with the lifting method, where careful scaling(square root 2) and truncations keep the integer precision and the transform unitary. We have tested our encoder on volumetric medical images using different integer filters and different coding unit sizes. The coding unit sizes of 16 slices save considerable dynamic memory(RAM) and coding delay from full sequence coding units used in previous works. Results show that, even with these small coding units, our algorithm with certain filters performs as well and better in lossless coding than previous coding systems using 3-D integer wavelet transforms on volumetric medical images.