Motion Correction of PET Data with a Joint Registration Functional for Multi-Modal Data

被引：0

作者：

Fieseler, Michael ^{[1
,2
]}

Gigengack, Fabian ^{[1
,2
]}

Jiang, Xiaoyi ^{[1
]}

Schaefers, Klaus P. ^{[2
]}

机构：

[1] Univ Munster, Dept Comp Sci, D-48149 Munster, Germany

[2] Univ Munster, European Inst Mol Imaging, D-48149 Munster, Germany

来源：

2012 INTERNATIONAL CONFERENCE ON COMPUTERIZED HEALTHCARE (ICCH) | 2012年

关键词：

POSITRON-EMISSION-TOMOGRAPHY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Respiratory motion is a known image degradation factor in PET imaging. A lot of research has been done in the field of motion correction of PET data. With the recent development of full-body PET/MRI, the morphological data provided by MRI is a promising source of motion information. MRI-based motion correction of PET data is a topic of active research. These approaches, however, usually do not take into account the available information provided by PET data. In this work we show results of a phantom study using a joint motion estimation approach that incorporates motion information from both PET and MRI data.

引用

页码：170 / 173

页数：4

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