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一种全自动轮廓检测算法是单光子发射计算机断层扫描(SPECT)中散射和衰减补偿的初步步骤。

A fully automated contour detection algorithm the preliminary step for scatter and attenuation compensation in SPECT.

作者信息

Ben Younes R, Mas J, Bidet R

机构信息

Laboratoire de Biophysique et de Médecine Nucléaire, C.H.U. Jean Minjoz, Besançon, France.

出版信息

Eur J Nucl Med. 1988;14(12):586-9. doi: 10.1007/BF00251780.

Abstract

Contour detection is an important step in information extraction from nuclear medicine images. In order to perform accurate quantitative studies in single photon emission computed tomography (SPECT) a new procedure is described which can rapidly derive the best fit contour of an attenuated medium. Some authors evaluate the influence of the detected contour on the reconstructed images with various attenuation correction techniques. Most of the methods are strongly affected by inaccurately detected contours. This approach uses the Compton window to redetermine the convex contour: it seems to be simpler and more practical in clinical SPECT studies. The main advantages of this procedure are the high speed of computation, the accuracy of the contour found and the programme's automation. Results obtained using computer simulated and real phantoms or clinical studies demonstrate the reliability of the present algorithm.

摘要

轮廓检测是从核医学图像中提取信息的重要步骤。为了在单光子发射计算机断层扫描(SPECT)中进行准确的定量研究,本文描述了一种新方法,该方法可以快速得出衰减介质的最佳拟合轮廓。一些作者使用各种衰减校正技术评估检测到的轮廓对重建图像的影响。大多数方法都受到轮廓检测不准确的强烈影响。该方法使用康普顿窗重新确定凸轮廓:在临床SPECT研究中,它似乎更简单、更实用。该方法的主要优点是计算速度快、找到的轮廓精度高以及程序自动化。使用计算机模拟、真实模体或临床研究获得的结果证明了本算法的可靠性。

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