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We propose an approach that can reconstruct isotropic T2* Maps from undersampled data with improved accuracy by utilizing the phase information. Our approach extends the acceleration attained in Parallel Imaging(PI) to Maximum Likelihood Estimation(MLE) by imposing the exponential relaxation directly in the complex signal domain. The method was tested on a Multiecho Gradient Echo(MEGE) T2* mapping experiment in a numerical phantom and a human brain with realtime (prospective) undersampling. The approach showed that incorporating the phase information to perform coherent fitting resulted in better denoising and improved accuracy of the parametric maps.
|Publication status||Published - 2018|
|Event||Joint Annual Meeting ISMRM-ESMRMB 2018 - Paris expo Porte de Versailles, Paris, France|
Duration: 16 Jun 2018 → 21 Jun 2018
|Conference||Joint Annual Meeting ISMRM-ESMRMB 2018|
|Period||16/06/18 → 21/06/18|
FingerprintDive into the research topics of 'Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation'. Together they form a unique fingerprint.
- 2 Finished
CQ-MRI: Compressed Quantitative MRI
1/07/15 → 31/12/18
SpaRTaN: SpaRTaN: Sparse Representations and Compressed Sensing Training Network
1/10/14 → 30/09/18
Improved Accuracy of Accelerated 3D T2* Mapping with Coherent Parallel Maximum Likelihood Estimation
Bano, W. (Creator), Golbabaee, M. (Creator), Benjamin, A. (Creator), Marshall, I. (Creator) & Davies, M. (Creator), Edinburgh DataShare, 31 Aug 2018
DOI: 10.7488/ds/2428, https://www.research.ed.ac.uk/portal/en/publications/improved-accuracy-of-accelerated-3d-t2-mapping-through-coherent-parallel-maximum-likelihood-estimation(ce799d8e-6c37-4bb6-be2b-abef5897d5f4).html