Paper Info
Title
Compression of medical volumetric data in a video-codec framework
Abstract
We propose to use video-codec framework for the compression of volumetric medical images by treating interslice variations as “motion” of the tissues. As compression is necessary for telemedicine and archive, such an approach needs only slight modifications of existing codecs and is able to re-use most of the existing software and hardware. This is our main motivation and we seek modifications of the MPEG codec. An obvious modification is to replace block matching (BM) by more sophisticated methods. Specifically, we use the affine transformation (AT) on triangular patches. We implemented and compared our scheme with a simplified MPEG-1 encoder under identical parameters on a set of MRI images of a human hand. The blockiness is reduced dramatically and structures are better preserved. The images also appear less granular and show improvements of several dB in SNR. We expect further improvements when more features of MPEG codec are incorporated in our ongoing work
Year
DOI
Venue
1996
10.1109/ICASSP.1996.545736
ICASSP
Keywords
Field
DocType
existing software,main motivation,video codec,software reuse,medical volumetric data,mpeg codec,triangular patches,telemedicine,mri images,block matching,video-codec framework,interslice variation,data compression,mpeg-1 encoder,tissues motion,transform coding,affine transformation,motion estimation,biomedical nmr,video coding,interslice variations,identical parameter,medical volumetric data compression,human hand,volumetric medical images,archive,medical image processing,hardware reuse,mri image,video codecs,magnetic resonance imaging,computed tomography,hardware,biomedical imaging,codecs
Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Transform coding,Multiview Video Coding,Artificial intelligence,Motion estimation,Data compression,Codec
Conference
Volume
ISSN
ISBN
4
1520-6149
0-7803-3192-3
Citations 
PageRank 
References 
4
0.51
4
Authors
2
Name
Order
Citations
PageRank
Yiu-fai Isaac Wong16216.77
Tsuhan Chen24763346.32