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基于Research Workplace的大鼠脑部PET/CT-MRI图像配准技术

PET/CT-MRI image registration in rats brain based on Research Workplace

作者: 雷建锋  王战京  武文琦  赵媛媛 
单位:首都医科大学中心实验室 (北京 100069)
关键词: 图像配准;  分子影像学;  PET/CT;  MRI 
分类号:R318.04
出版年·卷·期(页码):2019·38·5(472-478)
摘要:

目的 随着脑计划的发展。动物脑部结构图像与脑部功能图像融合分析已经成为重要的研究课题,目前动物脑部影像主要有CT图像、PET图像、MRI图像。由于Micro-CT/PET图像中CT图像不能清楚显示每个脑区结构,以至于不能准确测得PET功能图像的数据。为了解决这一缺点。提出利用动物脑部MRI图像与PET图像配准,准确测得PET功能图像的数据。方法 利用Bruker7.0T核磁采集到的大鼠脑部T2WI像制作一套大鼠MRI脑部结构模板数据,把大鼠MRI脑部结构模板数据导入到Research Workplace软件中,通过该软件提供的数据处理模块对MRI大鼠脑部模板与10套大鼠PET/CT数据做仿射拉伸、旋转,使图像在同一空间内。通过封装的最大互信算法以及Powell优化算法对这些图像进行配准。结果 定义PET/CT配准图像作为一个配准标准,默认配准精度是最高的,通过引入图像统计特性的评价参数论证MRI/PET配准图像精度和原始PET/CT图像是相近的。Research Workplace软件在大鼠脑部MRI图像与PET/CT图像配准精度上完全达到要求。结论 通过引入MRI大鼠脑部结构图,然后与大鼠脑部PET功能像配准,解决了PET/CT不能清楚显示大鼠脑部结构以至于不能准确测得PET功能像的准确数据这一缺点。通过图像的统计特性证明了Research Workplace软件在大鼠脑部MRI图像与大鼠脑部PET/CT图像在配准精度上完全达到配准精度要求。

Objective The fusion analysis of animal brain structural images and functional images has become an important research area with the development of the China Brain Plan. At present, animal brain images mainly contain CT images, PET images and MRI images. Since the images of Micro-CT/PET cannot clearly show the structure of each brain region, the data of PET functional image cannot be accurately measured. In order to solve this shortcoming, it is proposed to use the animal brain MRI image and PET image registration to accurately measure the PET function image data .Methods A set of rat brain structure template MRI data was generated by using the T2WI image of rat brain collected by Bruker 7.0T nuclear magnetic resonance. Then, the rat brain structure template MRI data was imported into Research Workplace software and processed by internal module of Research Workplace. The rat brain MRI template was affine stretched and rotated with 10 sets of rat PET/CT data to make the image in the same coordinate. Then, these images were registered by the encapsulated maximum mutual trust algorithm and the Powell optimization algorithm. Results The PET/CT registration image was defined as a registration standard with the highest registration accuracy. The evaluation parameters of the statistical properties of the image were introduced to demonstrate that the MRI/PET registration image accuracy was similar to the original PET/CT image. The Research Workplace software fully met the requirements for the registration accuracy of MRI images and PET/CT images in rat brain. Conclusions Introducing the brain structure MRI map of rats to register with the PET function image of the rat brain solved the shortcoming of PET/CT, which could not clearly show the accurate structure of the rat brain resulting in PET function image could not be accurately measured. The statistical characteristics of the image had proved that the Research Workplace software fully met the registration accuracy requirements in the fusion of the rat brain MRI image and the rat brain PET/CT image.

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