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PET Imaging of Neuroinflammation Using [11C]DPA-713 in a Mouse Model of Ischemic Stroke

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Rigid Motion Correction for Brain PET/MR Imaging using Optical Tracking.

Matthew G Spangler-Bickell¹, Mohammad Mehdi Khalighi², Charlotte Hoo³

¹Nuclear Medicine Unit, IRCCS Ospedale San Raffaele, Milan, Italy.

IEEE Transactions on Radiation and Plasma Medical Sciences

|August 10, 2019

Summary

This summary is machine-generated.

Patient head motion during PET/MR scans, especially in Alzheimer's patients, is a major hurdle. This study demonstrates an optical motion tracking method to correct head motion in PET imaging, improving scan quality for clinical research.

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Area of Science:

Medical Imaging
Neuroscience
Biophysics

Background:

High-resolution positron emission tomography (PET) brain imaging on PET/MR scanners faces significant challenges due to patient head motion.
Clinical populations, such as Alzheimer's disease patients, often struggle with prolonged stillness, exacerbating motion artifacts.
Head motion not only degrades PET data but also impacts the quality of simultaneously acquired MR data.

Purpose of the Study:

To implement and evaluate an optical motion tracking technique for correcting patient head motion during PET/MR brain imaging.
To assess the efficacy of this motion correction method on real-world clinical data from Alzheimer's disease patients.

Main Methods:

An established optical motion tracking system, previously validated for MR motion correction, was integrated with a list-mode PET reconstruction algorithm.
The system corrects motion for each individual PET event recorded during the scan.
The technique was applied to PET/MR data acquired from Alzheimer's disease patients using a GE SIGNA PET/MR scanner.

Main Results:

The optical motion tracking and list-mode PET reconstruction successfully corrected for patient head motion.
This resulted in motion-corrected PET reconstructions, enhancing image quality and data reliability.
The method proved effective on clinical Alzheimer's disease patient data.

Conclusions:

Optical motion tracking combined with list-mode PET reconstruction is a viable solution for mitigating head motion artifacts in PET/MR imaging.
This approach offers significant potential for improving the diagnostic accuracy and research utility of PET/MR scans in challenging patient populations.
The demonstrated technique is directly applicable to clinical settings using the GE SIGNA PET/MR scanner.