利用组织分类校正全身PET/MRI中的光子衰减

A. Martinez-Möller, M. Souvatzoglou, S. Nekolla
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引用次数: 1

摘要

混合PET/MRI成像的一个挑战是确定光子衰减图以校正获得的PET数据。提出了四种组织类别(背景、肺、脂肪和软组织)的适应性MRI序列数据的分割,并使用来自同一患者的35个PET/CT全身肿瘤检查以及两个PET/CT和MRI检查的数据进行了评估。在用分割的衰减图进行重建时,主要在骨性病变中观察到肿瘤摄取的微小差异,但在任何情况下都没有改变临床解释。该方法在临床应用上是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Photon attenuation correction in whole-body PET/MRI using tissue classification
A challenge for hybrid PET/MRI imaging is the determination of the photon attenuation map to correct the acquired PET data. Segmentation of adapted MRI sequence data in four tissue classes (background, lungs, fat, and soft tissue) is proposed and evaluated using data from 35 PET/CT whole-body oncological examinations as well as two PET/CT and MRI examinations from the same patients. When reconstructing with the segmented attenuation map, small differences in tumor uptake were observed mainly for osseous lesions, but did not change the clinical interpretation in any case. The method appears to be viable for clinical use.
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