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Correction of partial volume effect in SPECT/PET using anatomical information

使用解剖信息校正 SPECT/PET 中的部分容积效应

基本信息

批准号：
15591273
负责人：
MURASE Kenya
金额：
$ 2.05万
依托单位：
Osaka University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15591273/
关键词：
SPECT PET partial volume effect anatomical information Bayesian image reconstruction method MRI fuzzy clustering Tc-99m HMPAO ^<99m>Tc HMPAO

项目摘要

To accurately and quantitatively measure the distribution of radioisotope in the body using single photon emission computed tomography (SPECT) or positron emission tomography (PET), it is important to accurately correct for the partial volume effect (PVE). However, the correction of PVE is more difficult than that of attenuation and/or scattering in the body. On the other hand, it is possible to extract the anatomical information of the body from magnetic resonance imaging (MRI) using the segmentation method such as fuzzy clustering. Then, it is expected that if the anatomical information extracted from MRI can be introduced as a prior knowledge in the Bayesian image reconstruction method, it becomes possible to correct for PVE in SPECT or PET. Therefore, the purpose of this study was to develop a method for correcting for PVE in SPECT or PET by introducing the anatomical information extracted from MRI in the Bayesian image reconstruction method.In 2003, we developed a software that introduces the anatomical information extracted from MRI as a prior knowledge in the Bayesian image reconstruction method. In 2004, we continued to develop the above software, and simultaneously started to evaluate the usefulness of this method using phantom experiments and clinical data. We obtained the preliminary results that encouraged the possibility of correcting for PVE using the above method.In conclusion, this method appears to be useful for correcting for PVE in SPECT or PET. However, further studies are necessary to establish the usefulness of this method, and these studies are currently in progress.

为了利用单光子发射计算机断层扫描（SPECT）或正电子发射断层扫描（PET）准确定量地测量放射性同位素在体内的分布，精确校正部分体积效应（PVE）是很重要的。然而，校正PVE比校正体内的衰减和/或散射更为困难。另一方面，利用模糊聚类等分割方法可以从磁共振成像（MRI）中提取人体的解剖信息。那么，如果将从MRI中提取的解剖信息作为先验知识引入贝叶斯图像重建方法中，就有可能对SPECT或PET中的PVE进行校正。因此，本研究的目的是在贝叶斯图像重建方法中引入从MRI中提取的解剖信息，开发一种在SPECT或PET中校正PVE的方法。2003年，我们开发了一个软件，将从MRI中提取的解剖信息作为先验知识引入贝叶斯图像重建方法。在2004年，我们继续开发上述软件，同时开始使用幻影实验和临床数据来评估该方法的有效性。我们获得的初步结果鼓励了使用上述方法校正PVE的可能性。总之，这种方法对于SPECT或PET中PVE的校正是有用的。然而，需要进一步的研究来确定这种方法的有效性，这些研究目前正在进行中。