MR/PET quantification tools: Registration, segmentation, classification, and MR-based attenuation correction
MR/PET quantification tools: Registration, segmentation, classification, and MR-based attenuation correction
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DOI：
10.1118/1.4754796
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发表时间：
2012-10-01
期刊：
影响因子：
3.8
通讯作者：
Votaw, John R.
中科院分区：
文献类型：
--
作者：
Fei, Baowei;Yang, Xiaofeng;Votaw, John R.
目的：联合MR/PET是一种相对较新的混合成像模式。在我们的机构安装并测试了由Siemens 3 T Trio MR和脑PET插入物组成的人体MR/PET原型系统。其目前的设计不提供使用传统透射成像的测量衰减校正（AC）。本研究是开发的量化工具，包括MR为基础的AC的量化在结合MR/PET脑imaging.Methods：开发的量化工具，包括图像配准，分割，分类，和MR为基础的AC。这些组件被集成到一个单一的方案，用于处理MR/PET数据。分割方法是多尺度的，基于Radon变换的脑MR图像。它被开发用于在T1加权MR图像上分割颅骨。一种改进的模糊C-均值分类方案被开发用于将脑组织分类为灰质、白色物质和脑脊液。为分类的组织分配衰减系数，以便可以生成AC因子。PET发射数据，然后重建使用三维有序集期望最大化方法与MR为基础的AC地图。10例受试者分别接受了MR和PET扫描。使用高分辨率研究断层扫描（HRRT）PET采集含[C-11]PIB的PET。基于MR的AC与基于传输（TX）的AC在HRT上进行了比较。手动绘制17卷的兴趣在每个主题的图像比较PET活动之间的MR为基础的和TX为基础的AC methods.Results：对于颅骨分割，我们的分割结果和地面真理之间的重叠率为85.2 +/-2.6%。10名受试者的衰减校正结果表明，基于MR和TX的方法之间的差异是
Purpose: Combined MR/PET is a relatively new, hybrid imaging modality. A human MR/PET prototype system consisting of a Siemens 3T Trio MR and brain PET insert was installed and tested at our institution. Its present design does not offer measured attenuation correction (AC) using traditional transmission imaging. This study is the development of quantification tools including MR-based AC for quantification in combined MR/PET for brain imaging.Methods: The developed quantification tools include image registration, segmentation, classification, and MR-based AC. These components were integrated into a single scheme for processing MR/PET data. The segmentation method is multiscale and based on the Radon transform of brain MR images. It was developed to segment the skull on T1-weighted MR images. A modified fuzzy C-means classification scheme was developed to classify brain tissue into gray matter, white matter, and cerebrospinal fluid. Classified tissue is assigned an attenuation coefficient so that AC factors can be generated. PET emission data are then reconstructed using a three-dimensional ordered sets expectation maximization method with the MR-based AC map. Ten subjects had separate MR and PET scans. The PET with [C-11]PIB was acquired using a high-resolution research tomography (HRRT) PET. MR-based AC was compared with transmission (TX)-based AC on the HRRT. Seventeen volumes of interest were drawn manually on each subject image to compare the PET activities between the MR-based and TX-based AC methods.Results: For skull segmentation, the overlap ratio between our segmented results and the ground truth is 85.2 +/- 2.6%. Attenuation correction results from the ten subjects show that the difference between the MR and TX-based methods was