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Photon attenuation correction in whole-body PET/MRI using tissue classification

机译:利用组织分类校正全身PET / MRI中的光子衰减

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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.
机译:混合PET / MRI成像的挑战是确定光子衰减图以校正采集的PET数据。提出并应用来自35种PET / CT全身肿瘤学检查的数据以及来自同一组织的两次PET / CT和MRI检查的数据,对经过调整的MRI序列数据在四个组织类别(背景,肺,脂肪和软组织)中的分割进行了评估。耐心。用分段衰减图重建时,主要是骨性病变观察到肿瘤吸收的细微差别,但在任何情况下都没有改变临床解释。该方法似乎可用于临床。

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