非均匀衰减局部SPECT重建

Bing Liu, Junhai Wen, Xin Li, Xu Meng
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引用次数: 2

摘要

SPECT(单光子发射计算机断层扫描)是一种可以很好地显示代谢活动信息和提高临床诊断的断层扫描技术。2000年,R Novikov发现了非均匀衰减的显式SPECT重构公式。基于R. Novikov重构公式,推导了一种基于小波变换的SPECT重构算法。与传统的CT重建算法一样,这些算法需要完整的投影数据来重建图像,即使重建区域是身体的一小部分。本文提出了一种基于小波的非均匀衰减局部SPECT重构算法,该算法只需要感兴趣区域(ROI)的局部投影数据,这意味着所需的检测器更小,重构时间更短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local SPECT Reconstruction with Non-Uniform Attenuation
SPECT (single photon emission computed tomography) is a tomography technique that can greatly show information about the metabolic activity and improve clinical diagnosis. In 2000, R Novikov discovered the explicit SPECT reconstruction formula with non-uniform attenuation. Based on R. Novikov's reconstruction formula, we had derived a wavelet based SPECT reconstruction algorithm. Like the conventional CT reconstruction algorithm, these algorithms require full projection data in order to reconstruct the image even though reconstruction area is a small part of the body. In this paper, we present a wavelet based local SPECT reconstruction algorithm with non-uniform attenuation, which only need the local projection data from the region of interest (ROI), this means smaller detector required and reconstruction time would become shorter.
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