Comparing Bowsher’s Method to MRgBSREM in PET Recon with MR-priors in the Presence of Mismatch Between MRI and PET Images

Motivation: Using MR-priors in PET reconstruction has been performed in numerous studies. While MR-priors provide more SNR and better resolution ti PET-images, without considering motion there may be misalignment between PET and MR images which leads to crosstalk artifacts. Another concern is mismatch between MR and PET images which can potentially affect the final PET image. Goal(s): To compare the two most-widely used PET recon with MR-priors methods: the Bowsher's method and MRgBSREM. Approach: We created an MR-series with severe line artifacts and used in as MR-priors in both methods. Results: We have shown that MRgBSREM handles these mismatches better than the Bowsher’s method. Impact: MRgBSREM is more robust to mismatches between PET and MR. This is achieved by adding a PET-seed image to identify similar-voxels which avoids the situation in which voxels with significantly different PET-uptake would be considered similar based only on MR-images.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4887
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Comparing Bowsher’s Method to MRgBSREM in PET Recon with MR-priors in the Presence of Mismatch Between MRI and PET Images

Floris Jansen, Mehdi Khalighi, Michael E. Moseley, Daniel Litwiller et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Comparing Bowsher’s Method to MRgBSREM in PET Recon with MR-priors in the Presence of Mismatch Between MRI and PET Images

Floris Jansen, Mehdi Khalighi, Michael E. Moseley, Daniel Litwiller, Dawn Holley, Matthew G. Spangler‐Bickell, Greg Zaharchuk, Elizabeth C. Mormino, Hillary Vossler
article en

Abstract

Motivation: Using MR-priors in PET reconstruction has been performed in numerous studies. While MR-priors provide more SNR and better resolution ti PET-images, without considering motion there may be misalignment between PET and MR images which leads to crosstalk artifacts. Another concern is mismatch between MR and PET images which can potentially affect the final PET image. Goal(s): To compare the two most-widely used PET recon with MR-priors methods: the Bowsher's method and MRgBSREM. Approach: We created an MR-series with severe line artifacts and used in as MR-priors in both methods. Results: We have shown that MRgBSREM handles these mismatches better than the Bowsher’s method. Impact: MRgBSREM is more robust to mismatches between PET and MR. This is achieved by adding a PET-seed image to identify similar-voxels which avoids the situation in which voxels with significantly different PET-uptake would be considered similar based only on MR-images.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
Radiomics and Machine Learning in Medical Imaging
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