Back to articles
Articles
Volume: 32 | Article ID: art00007
Image
Improving 3D Medical Image Compression Efficiency Using Spatiotemporal Coherence
  DOI :  10.2352/ISSN.2470-1173.2020.10.IPAS-063  Published OnlineJanuary 2020
Abstract

Advanced methodologies for transmitting compressed images, within acceptable ranges of transmission rate and loss of information, make it possible to transmit a medical image through a communication channel. Most prior works on 3D medical image compression consider volumetric images as a whole but fail to account for the spatial and temporal coherence of adjacent slices. In this paper, we set out to develop a 3D medical image compression method that extends the 3D wavelet difference reduction algorithm by computing the similarity of the pixels in adjacent slices and progressively compress only the similar slices. The proposed method achieves high-efficiency performance on publicly available datasets of MRI scans by achieving compression down to one bit per voxel with PSNR and SSIM up to 52:3 dB and 0:7578, respectively.

Subject Areas :
Views 85
Downloads 2
 articleview.views 85
 articleview.downloads 2
  Cite this article 

Matina Ch. Zerva, Michalis Vrigkas, Lisimachos P. Kondi, Christophoros Nikou, "Improving 3D Medical Image Compression Efficiency Using Spatiotemporal Coherencein Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVIII,  2020,  pp 63-1 - 63-6,  https://doi.org/10.2352/ISSN.2470-1173.2020.10.IPAS-063

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA