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Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

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Published on: September 20, 2015

Attenuation correction for human PET/MRI studies.

Ciprian Catana¹

¹Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States of America.

Physics in Medicine and Biology

|December 2, 2020

Summary

This summary is machine-generated.

Accurate attenuation correction is crucial for combined positron emission tomography and magnetic resonance imaging (PET/MRI). This study reviews current and advanced methods, including deep learning, to improve PET/MRI quantitative accuracy.

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Last Updated: Nov 27, 2025

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Whole-body PET/MRI of Pediatric Patients: The Details That Matter

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Published on: December 19, 2017

Area of Science:

Medical Imaging
Radiochemistry
Biophysics

Background:

Attenuation correction is a key challenge in integrated PET/MRI systems.
Standard CT-based methods are unavailable, necessitating MR-based approaches.
Accurate correction requires addressing bone, lung, hardware, motion, and artifacts.

Purpose of the Study:

To review standard and advanced MR-based attenuation correction techniques for PET/MRI.
To evaluate their impact on PET data interpretation and quantification.
To discuss future directions for improving attenuation correction.

Main Methods:

Review of manufacturer-implemented MR-based attenuation correction (MRAC) techniques.
Description of advanced MRAC methods, including deep learning approaches.
Analysis of challenges: bone, lung, hardware, motion, artifacts, and data processing.

Main Results:

Standard MRAC methods have limitations impacting PET quantification.
Advanced methods, particularly deep learning, show promise in reducing bias.
Ongoing research focuses on refining techniques for greater accuracy.

Conclusions:

MR-based attenuation correction is essential for quantitative PET/MRI.
Deep learning offers significant potential for improving accuracy.
Further development is needed to overcome remaining challenges in PET/MRI attenuation correction.