[123I]FP-CIT单光子发射计算机断层扫描脑图像的仿射配准

Affine registration of [123I]FP-CIT SPECT brain images.

作者信息

Salas-Gonzalez Diego, Górriz Juan M, Ramírez Javier, A Illán Ignacio, Padilla Pablo, Martínez-Murcia Francisco J, Lang Elmar W

机构信息

Dpt. Signal Theory, Networking and Communications, University of Granada, Spain.

Institut für Biophysik und physikalische Biochemie, University of Regensburg, Germany.

出版信息

Stud Health Technol Inform. 2014;207:65-73.

PMID:25488212

Abstract

In this work, we perform a comparison between the spatial normalization of [123I]FP-CIT SPECT brain images when a FP-CIT SPECT and a MRI template are used. A 12-parameters affine registration model is calculated by the optimization of a sum of squares cost function. When the images are registered to a FP-CIT template, the intersubject variation is found to be lower than when the MRI template is used, specially in the striatum, which is the most relevant part of the brain in FP-CIT SPECT brain images.

摘要

在这项工作中，我们比较了使用[123I]FP-CIT单光子发射计算机断层扫描（SPECT）脑图像和磁共振成像（MRI）模板时[123I]FP-CIT SPECT脑图像的空间归一化情况。通过优化平方和代价函数计算出一个12参数仿射配准模型。当图像配准到FP-CIT模板时，发现个体间差异低于使用MRI模板时，特别是在纹状体中，纹状体是FP-CIT SPECT脑图像中大脑最相关的部分。