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基于图谱的大鼠脑微PET研究自动图像分析方法的开发与评估

Development and evaluation of an automated atlas-based image analysis method for microPET studies of the rat brain.

作者信息

Rubins Daniel J, Melega William P, Lacan Goran, Way Baldwin, Plenevaux Alain, Luxen Andre, Cherry Simon R

机构信息

Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.

出版信息

Neuroimage. 2003 Dec;20(4):2100-18. doi: 10.1016/j.neuroimage.2003.07.011.

Abstract

An automated method for placement of 3D rat brain atlas-derived volumes of interest (VOIs) onto PET studies has been designed and evaluated. VOIs representing major structures of the rat brain were defined on a set of digitized cryosectioned images of the rat brain. For VOI placement, each PET study was registered with a synthetic PET target constructed from the VOI template. Registration was accomplished with an automated algorithm that maximized the mutual information content of the image volumes. The accuracy and precision of this method for VOI placement was determined using datasets from PET studies of the striatal dopamine and hippocampal serotonin systems. Each evaluated PET study could be registered to at least one synthetic PET target without obvious failure. Registration was critically dependent upon the initial position of the PET study relative to the synthetic PET target, but not dependent on the amount of synthetic PET target smoothing. An evaluation algorithm showed that resultant radioactivity concentration measurements of selected brain structures had errors=2% due to misalignment with the corresponding VOI. Further, radioligand binding values calculated from these measurements were found to be more precise than those calculated from measurements obtained with manually drawn regions of interest (ROIs). Overall, evaluation results demonstrated that this atlas-derived VOI method can be used to obtain unbiased measurements of radioactivity concentration from PET studies. Its automated features, and applicability to different radioligands and brain regions, will facilitate quantitative rat brain PET assessment procedures.

摘要

已设计并评估了一种将三维大鼠脑图谱衍生的感兴趣区(VOI)自动放置到PET研究上的方法。在一组大鼠脑数字化冷冻切片图像上定义了代表大鼠脑主要结构的VOI。对于VOI放置,每个PET研究都与根据VOI模板构建的合成PET靶标进行配准。配准通过一种自动算法完成,该算法可最大化图像体积的互信息含量。使用来自纹状体多巴胺和海马5-羟色胺系统PET研究的数据集确定了这种VOI放置方法的准确性和精确性。每个评估的PET研究都可以配准到至少一个合成PET靶标,且无明显失败情况。配准严重依赖于PET研究相对于合成PET靶标的初始位置,但不依赖于合成PET靶标的平滑量。一种评估算法表明,由于与相应VOI未对齐,所选脑结构的放射性浓度测量结果误差=2%。此外,发现从这些测量结果计算出的放射性配体结合值比从手动绘制的感兴趣区(ROI)获得的测量结果计算出的更精确。总体而言,评估结果表明,这种基于图谱的VOI方法可用于从PET研究中获得放射性浓度的无偏测量。其自动化特性以及对不同放射性配体和脑区的适用性将促进定量大鼠脑PET评估程序。

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