Abstract
In order to protect the ROI (region of interest) characteristics while greatly improving medical imaging compression ratio, we are proposing an algorithm for medical imagining compression that is oriented to ROI-characteristics protection. Firstly, an improved ROI segmentation algorithm is put forward based on the analysis of the ROI segmentation. Then, after the ROI segmented, the ROI edge is extracted and encoded with Freeman chain coding. Finally, the ROI is compressed by lossless compression with shearlet; the ROB (region of background) is compressed by the method of high ratio lossy compression combining with Wavelet and Fractal. Simulation results show that the ROI is segmented precisely. It holds edge integrity and has high quality reconstruction processed by the presented method, helping protect ROI characteristics while greatly improving the compression ratio.
Highlights
The new health care reform in China is causing an increase in the demand for PACS
There is an urgent need for efficient medical imaging compression algorithm
The main ways include feature point segmentation, human interaction segmentation, and segmentation based on visual attention mechanism
Summary
The new health care reform in China is causing an increase in the demand for PACS (picture archiving and communication systems). After [2] improved [1], the wavelet coefficient was advanced based on the different interest level of ROI, reaching the balance between reconstruction quality and compression ratio. Both [1] and [2] acted on the regular rectangular space domain, but imaging segmentation region was often irregular. The worst had inaccurate segmentation; the edges were not protected; the reconstruction quality was low; and most of the algorithm was carried out with near-lossless or lossless compression These methods cannot meet the need for high-speed transmission and mass storage of explosive growth of medical imaging [1]-[4]. Edge-coded information and ROI and ROB coded information are reconstructed to gain the whole recovery image
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