Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom
Abstract
Quantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. Before phase data can be used to recover susceptibility ( Δ χ ), the QSM process begins with two steps: data acquisition and phase estimation. We assess the performance of these steps, when applied without user intervention, on several variations of a phantom imaging task. We used a rotating-tube phantom with five tubes ranging from Δ χ = 0.05 ppm to Δ χ = 0.336 ppm. MRI data was acquired at nine angles of rotation for four different pulse sequences. The images were processed by 10 phase estimation algorithms including Laplacian, region-growing, branch-cut, temporal unwrapping, and maximum-likelihood methods, resulting in approximately 90 different combinations of data acquisition and phase estimation methods. We analyzed errors between measured and expected phases using the probability mass function and Cumulative Distribution Function. Repeatable acquisition and estimation methods were identified based on the probability of relative phase errors. For single-echo GRE and segmented EPI sequences, a region-growing method was most reliable with Pr (relative error Δ χ estimates.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 24, 2021
- Source ID
- 10.1155/2021/1898461
Entities
People
- Ben P. Berman
- Dzung Pham
- John A. Butman
- Joseph Dagher
- Kathryn E Keenan
- Slávka Rýger
- Stephen E Russek
- Wen‐Tung Wang
Organizations
- Center for Neuroscience and Regenerative Medicine
- Henry M. Jackson Foundation for the Advancement of Military Medicine
- MITRE Corporation
- National Institute of Standards and Technology
- National Institutes of Health