A Selective Three Dimensional Magnetic Resonance Images Compression Method Using Adaptive Mesh Design and Region-Based Wavelet Transform

Fatemizadeh, Emadoddin; Shooshtari, Parisa

doi:10.22041/ijbme.2008.13428

A Selective Three Dimensional Magnetic Resonance Images Compression Method Using Adaptive Mesh Design and Region-Based Wavelet Transform

Document Type : Full Research Paper

Authors

Emadoddin Fatemizadeh ¹

Parisa Shooshtari ²

¹ Assistant Professor, Biomedical Engineering Department, Electrical Engineering School, Sharif University of Technology

² MSc Graduated, Biomedical Engineering Department, Electrical Engineering School, Sharif University of Technology

10.22041/ijbme.2008.13428

Abstract

Nowadays due to the huge capacity and bandwidth essentials for medical images, communications and storage purposes, medical images compression is one of most important concepts in this area. Error free compression techniques have the weakness of low compression ratio. On the other hand, lossy techniques with high compression ratio result in low quality of the images. In recent years, some special compression schemes have been suggested by splitting the original image into two regions: Region of Interest (ROI) with lossless compression and the Region of Background (ROB) with lossy compression and a lower quality. In this paper, we proposed a novel selective compression approach to compress 3D brain MR images. For this purpose, an adaptive mesh for the first slice was designed and estimation of the gray levels of the next slices was performed through deformations of the mesh elements. After residual image determination, the error between the original image and the approximated image was transformed to the wavelet domain using a region-based discrete wavelet transform (RBDWT). Finally, the wavelet coefficients were coded by an object-based SPIHT coder.

Keywords

compression

Adaptive mesh design

region-based discrete wavelet transform

MRI

OB-SPIHT

ROI

Subjects