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Updated: May 16, 2026

MRI and PET in Mouse Models of Myocardial Infarction
Published on: December 19, 2013
MRI for attenuation correction in PET: methods and challenges
Gudrun Wagenknecht1, Hans-Jürgen Kaiser, Felix M Mottaghy
1Central Institute for Electronics, Forschungszentrum Jülich, 52425 Jülich, Germany. g.wagenknecht@fz-juelich.de
Abstract:
In current combined PET/MR systems, PET attenuation correction is based on MRI, since the small bore inside MRI systems and the strong magnetic field do not permit a rotating PET transmission source or a CT device to be integrated. Unlike CT measurements in PET/CT scanners, the MR signal is not directly correlated to tissue density and thus cannot be converted by a simple transformation of intensity values. Various approaches have been developed based on templates, atlas information, direct segmentation of T1-weighted MR images, or segmentation of images from special MR sequences. The advantages and disadvantages of these approaches as well as additional challenges will be discussed in this review.
Insights
PET/MR systems face attenuation correction challenges due to MRI signal limitations. This review explores various methods, including template-based and image segmentation approaches, to address these PET attenuation correction issues.
Area of Science:
- Medical Imaging
- Radiology
- Biophysics
Background:
- Combined PET/MR systems offer advanced imaging capabilities.
- PET attenuation correction in PET/MR relies on MRI data, unlike PET/CT systems.
- MRI signals do not directly correlate with tissue density, complicating attenuation correction.
Purpose of the Study:
- To review current methods for PET attenuation correction in combined PET/MR systems.
- To discuss the advantages and disadvantages of different attenuation correction strategies.
- To highlight challenges in PET/MR attenuation correction.
Main Methods:
- Review of existing literature on PET attenuation correction techniques for PET/MR.
- Analysis of approaches including template-based methods, atlas information, and MR image segmentation.
- Discussion of segmentation using T1-weighted and special MR sequences.
Main Results:
- Multiple strategies exist for PET attenuation correction in PET/MR systems.
- Each method (templates, atlas, segmentation) has unique strengths and weaknesses.
- Accurate attenuation correction remains a significant challenge in PET/MR.
Conclusions:
- PET attenuation correction in PET/MR is complex due to the indirect relationship between MRI signals and tissue density.
- Various segmentation and template-based methods are employed, each with limitations.
- Further research is needed to optimize PET attenuation correction for improved PET/MR diagnostic accuracy.
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