Optimal Channel Coding for Scalable Wireless Transmission of 3D Regions of Interest in 3D Medical Images

2012 IEEE Workshop on Signal Processing Systems Pub Date : 2012-10-17 DOI:10.1109/SiPS.2012.47

Victor Sanchez

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引用次数: 1

Abstract

A novel method for 3D scalable medical image coding with optimized 3D region of interest (3D-RoI) coding was recently proposed. This paper presents one major contribution that enhances this previous work, namely an optimal channel coding method for scalable wireless transmission of 3D regions of interest in 3D medical images. The method is presented in the context of telemedicine, where 3D medical images are first source-coded for storage on a central server and later channel-coded, when request for transmission of a 3D-RoI is initiated. The method is a two-tiered approach: Tier-1 is a source coding scheme, while Tier-2 is a joint source/channel coding scheme where 3D-RoI coding is jointly performed with channel coding. The robustness of the proposed method is evaluated over Rayleigh-fading channels with rate-compatible punctured turbo codes. Comparisons are made with the cases of equal error protection and unequal error protection. Evaluations results on real 3D medical images show a significant improvement in reconstruction quality of the received images, in terms of the average peak signal-to-noise ratio.

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三维医学图像中三维感兴趣区域可扩展无线传输的最佳信道编码

提出了一种基于优化的三维感兴趣区域(3D- roi)编码的三维可扩展医学图像编码方法。本文提出了一个主要的贡献，增强了以前的工作，即一个最佳的信道编码方法，可扩展无线传输的3D医学图像的3D感兴趣的区域。该方法是在远程医疗的背景下提出的，其中3D医学图像首先进行源代码编码以存储在中央服务器上，然后在发起3D- roi传输请求时进行信道编码。该方法采用两层方法:第1层为源编码方案，第2层为源/信道联合编码方案，其中3D-RoI编码与信道编码共同进行。在瑞利衰落信道和速率兼容的穿孔turbo码上，对该方法的鲁棒性进行了评估。并与等错误保护和不等错误保护进行了比较。对真实三维医学图像的评价结果表明，从平均峰值信噪比来看，接收图像的重建质量有了显著提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 IEEE Workshop on Signal Processing Systems

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