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Tilted quantitative susceptibility mapping at oblique MRI (tiltQSM).
Zeyuan Chen1, Xiulan Zhai2, Zikuan Chen3
1Department of Computer Sciences, University of California-Davis, Davis, CA, USA; Microsoft Corporation, Seattle, WA, USA.
Computers in Biology and Medicine
|March 25, 2023
Summary
This study introduces tiltQSM, a method to correct for oblique effects in quantitative susceptibility mapping (QSM) from tilted MRI scans. tiltQSM achieves high accuracy for small tilt angles, improving QSM reconstruction from oblique MRI data.
Area of Science:
- Medical Imaging
- Biophysics
- Computational Neuroscience
Background:
- Quantitative Susceptibility Mapping (QSM) is crucial for analyzing MRI phase images.
- Oblique acquisition in MRI introduces artifacts, complicating accurate QSM.
- Existing QSM methods require phase images acquired perpendicular to the main magnetic field (B0).
Purpose of the Study:
- To develop and validate a method (tiltQSM) for accurate QSM from oblique MRI phase images.
- To address the "oblique effect" caused by tilted acquisition planes.
- To provide a preprocessing solution for QSM reconstruction in non-standard MRI orientations.
Main Methods:
- Proposed two matrix-based methods: rotData (phase image rotation) and rotKernel (dipole kernel rotation).
- Implemented tiltQSM as a preprocessing subroutine for regular QSM pipelines.
- Validated tiltQSM using numerical simulations, phantom studies, and in vivo human brain MRI at 3T with axial slice tilting.
Main Results:
- tiltQSM achieved high spatial correlation (>0.90) for tilt angles below 10°.
- Performance was assessed considering both the oblique effect and MRI anisotropy.
- Voxel anisotropy due to image matrix rotation can degrade tiltQSM performance.
Conclusions:
- tiltQSM effectively corrects for the oblique effect in QSM from tilted MRI.
- Recommended practice is to acquire MRI phase images with minimal obliqueness (<10°) for optimal QSM.
- tiltQSM offers a viable solution for QSM in challenging oblique acquisition scenarios.

