Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2012(Vol.4, Issue:24)
Article Information:

Comparison of Hybrid Codes for MRI Brain Image Compression

G. Soundarya and S. Bhavani
Corresponding Author:  G. Soundarya 
Submitted: March 18, 2012
Accepted: April 20, 2012
Published: December 15, 2012
Abstract:
In general, medical images are compressed in a lossless manner in order to preserve details and to avoid wrong diagnosis. But this leads to a lower compression rate. Therefore, our aim is to improve the compression ratio by means of hybrid coding the MRI brain (tumor) images. Hence we consider Region of Interest (ROI) normally the abnormal region in the image and compress it without loss to achieve high compression ratio in par with maintaining high image quality and the Non-Region of Interest (Non-ROI) of the image is compressed in a lossy manner. This study discusses two simple hybrid coding techniques (Hybrid A and Hybrid B) on MRI human brain tumor image datasets. Also we evaluate their performance by comparing them with the standard lossless technique JPEG 2000 in terms of Compression Ratio (CR) and Peak to Signal Noise Ratio (PSNR). Both hybrid codes have resulted in computationally economical scheme producing higher compression ratio than existing JPEG2000 and also meets the legal requirement of medical image archiving. The results obtained prove that our proposed hybrid schemes outperform existing schemes.

Key words:  Compression ratio , fractal, non-ROI, PSNR, ROI, segmentation,
Abstract PDF HTML
Cite this Reference:
G. Soundarya and S. Bhavani, . Comparison of Hybrid Codes for MRI Brain Image Compression. Research Journal of Applied Sciences, Engineering and Technology, (24): 5367-5371.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved