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Journal of Applied Sciences
Year: 2014  |  Volume: 14  |  Issue: 21  |  Page No.: 2713 - 2721

Coding of Clinical ROI Using S-FCM and WBCT

V. Mohan and Y. Venkataramani    

Abstract: Medical imaging plays a vital role in the field of diagnosis and surgical planning. Compression of medical images differs from standard image coding as it needs to preserve the clinically critical information with reduction in storage space required. Recent research has demonstrated the merit of encoding the Clinical ROI separately and encoding the insignificant part of the image using standard SPIHT technique. One unaddressed combination is the segmentation of CROI using soft computing approaches such as spatial FCM. This study proposes a technique for extracting the clinical ROI using spatial FCM and encoding the segmented portion using a suitable transform with directionality and multi resolution capability. The goal of the proposed technique is to preserve the clinical useful information with smooth contours to obtain a better compression ratio. In the proposed study, modified set partitioning in hierarchical tree (modified SPIHT) is used to code the wavelet based contourlet transformed coefficients of the Clinical Region of Interest (CROI) and remaining portion is encoded using DWT and SPIHT. The proposed study produces a better compression ratio for the MRI brain images with increased PSNR. Also it provides efficient representation of smooth edges in Digital Imaging and Communications in Medicine (DICOM) images.

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