A 3D Slicer Extension for Retrospective MP2RAGE Background Suppression

Motivation: MP2RAGE provides enhanced T1-weighted images but contains high-amplitude noise in areas of low signal. This can cause processing pipelines developed for traditional T1 images to fail. A “denoising” algorithm exists, but requires complex-valued image data which are not available retrospectively. Goal(s): Provide an algorithm and easy-to-use interface for eliminating MP2RAGE background noise using only available scanner outputs. Approach: We have developed a 3D Slicer extension for performing noise suppression with only the available MP2RAGE and inversion magnitude images. Results: Our method generates background-suppressed and artifact-free images. The program was tested and optimized to be used with the HCP structural pipeline. Impact: Here, we present a fast easy-to-use 3D Slicer extension for suppressing background noise in MP2RAGE images. It requires no extra phase data, enables users to reprocess already acquired images, and encourages the adoption of MP2RAGE as a primary T1-weighted acquisition.

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/10.58530/2024/3025
Primary Topic
Advanced Image and Video Retrieval Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A 3D Slicer Extension for Retrospective MP2RAGE Background Suppression

Noam Harel, Henry Braun, Karianne Sretavan Wong, Rémi Patriat 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
Advanced Image and Video Retrieval Techniques
article

A 3D Slicer Extension for Retrospective MP2RAGE Background Suppression

Noam Harel, Henry Braun, Karianne Sretavan Wong, Rémi Patriat, Tara Palnitkar, Jayashree Chandrasekaran, Samuel Brenny
article en

Abstract

Motivation: MP2RAGE provides enhanced T1-weighted images but contains high-amplitude noise in areas of low signal. This can cause processing pipelines developed for traditional T1 images to fail. A “denoising” algorithm exists, but requires complex-valued image data which are not available retrospectively. Goal(s): Provide an algorithm and easy-to-use interface for eliminating MP2RAGE background noise using only available scanner outputs. Approach: We have developed a 3D Slicer extension for performing noise suppression with only the available MP2RAGE and inversion magnitude images. Results: Our method generates background-suppressed and artifact-free images. The program was tested and optimized to be used with the HCP structural pipeline. Impact: Here, we present a fast easy-to-use 3D Slicer extension for suppressing background noise in MP2RAGE images. It requires no extra phase data, enables users to reprocess already acquired images, and encourages the adoption of MP2RAGE as a primary T1-weighted acquisition.

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 79%
Advanced Image and Video Retrieval Techniques
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