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[用于 I-FP-CIT SPECT 的真实纹状体数字脑(SDB)模型的开发及其对脑室内特定结合率半定量指标的影响]

[Development of Realistic Striatal Digital Brain (SDB) Phantom for I-FP-CIT SPECT and Effect on Ventricle in the Brain for Semi-quantitative Index of Specific Binding Ratio].

作者信息

Furuta Akihiro, Onishi Hideo, Nakamoto Kenta

机构信息

Department of Radiology, Hiroshima City Asa Citizens Hospital.

Program in Health and Welfare, Graduate on School of Comprehensive Scientific Research, Prefectural University of Hiroshima.

出版信息

Nihon Hoshasen Gijutsu Gakkai Zasshi. 2017;73(10):1018-1027. doi: 10.6009/jjrt.2017_JSRT_73.10.1018.

Abstract

PURPOSE

This study aimed at developing the realistic striatal digital brain (SDB) phantom and to assess specific binding ratio (SBR) for ventricular effect in the I-FP-CIT SPECT imaging.

METHODS

SDB phantom was constructed in to four segments (striatum, ventricle, brain parenchyma, and skull bone) using Percentile method and other image processing in the T2-weighted MR images. The reference image was converted into 128×128 matrixes to align MR images with SPECT images. The process image was reconstructed with projection data sets generated from reference images additive blurring, attenuation, scatter, and statically noise. The SDB phantom was evaluated to find the accuracy of calculated SBR and to find the effect of SBR with/without ventricular counts with the reference and process images.

RESULTS

We developed and investigated the utility of the SDB phantom in the I-FP-CIT SPECT clinical study. The true value of SBR was just marched to calculate SBR from reference and process images. The SBR was underestimated 58.0% with ventricular counts in reference image, however, was underestimated 162% with ventricular counts in process images.

CONCLUSION

The SDB phantom provides an extremely convenient tool for discovering basic properties of I-FP-CIT SPECT clinical study image. It was suggested that the SBR was susceptible to ventricle.

摘要

目的

本研究旨在开发逼真的纹状体数字脑(SDB)体模,并评估I-FP-CIT SPECT成像中室效应的特异性结合率(SBR)。

方法

使用百分位数法和T2加权磁共振图像中的其他图像处理技术,将SDB体模构建为四个部分(纹状体、脑室、脑实质和颅骨)。将参考图像转换为128×128矩阵,以使磁共振图像与SPECT图像对齐。利用从参考图像生成的投影数据集,通过添加模糊、衰减、散射和静态噪声来重建处理图像。对SDB体模进行评估,以确定计算出的SBR的准确性,并通过参考图像和处理图像来确定有/无脑室计数时SBR的影响。

结果

我们开发并研究了SDB体模在I-FP-CIT SPECT临床研究中的实用性。SBR的真实值与从参考图像和处理图像计算出的SBR恰好相符。在参考图像中有脑室计数时,SBR被低估了58.0%,而在处理图像中有脑室计数时,SBR被低估了162%。

结论

SDB体模为发现I-FP-CIT SPECT临床研究图像的基本特性提供了一个极其方便的工具。结果表明SBR易受脑室的影响。

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