基于先进视频编码方案的4D医学图像高效无损压缩

Efficient lossless compression of 4-D medical images based on the advanced video coding scheme.

作者信息

Sanchez Victor, Nasiopoulos Panos, Abugharbieh Rafeef

机构信息

Department of Electrical andComputer Engineering, the University of British Columbia, Vancouver, BC V6T1Z4, Canada.

出版信息

IEEE Trans Inf Technol Biomed. 2008 Jul;12(4):442-6. doi: 10.1109/TITB.2007.911307.

DOI:10.1109/TITB.2007.911307

PMID:18632324

Abstract

This paper presents an efficient lossless compression method for 4-D medical images based on the advanced video coding scheme (H.264/AVC). The proposed method efficiently reduces data redundancies in all four dimensions by recursively applying multiframe motion compensation. Performance evaluations on real 4-D medical images of varying modalities including functional magnetic resonance show an improvement in compression efficiency of up to three times that of other state-of-the-art compression methods such as 3D-JPEG2000.

摘要

本文提出了一种基于先进视频编码方案（H.264/AVC）的高效4D医学图像无损压缩方法。该方法通过递归应用多帧运动补偿，有效减少了所有四个维度的数据冗余。对包括功能磁共振成像在内的不同模态的真实4D医学图像进行的性能评估表明，其压缩效率提高了，最高可达其他现有最先进压缩方法（如3D-JPEG2000）的三倍。