Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation

Wajiha Bano; Mohammad Golbabaee; Arnold Benjamin; Ian Marshall; Michael Davies

Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation

Wajiha Bano, Mohammad Golbabaee, Arnold Benjamin, Ian Marshall, Michael Davies

Research output: Contribution to conference › Abstract › peer-review

Abstract / Description of output

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.

Original language	English
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 https://www.ismrm.org/18m/

Conference

Conference	Joint Annual Meeting ISMRM-ESMRMB 2018
Country/Territory	France
City	Paris
Period	16/06/18 → 21/06/18
Internet address	https://www.ismrm.org/18m/

Access to Document

ismrm 2018_wajiha_revised_Submitted manuscript, 1.55 MB

CQ-MRI: Compressed Quantitative MRI
Marshall, I. & Davies, M.
EPSRC
1/07/15 → 31/12/18
Project: Research
SpaRTaN: SpaRTaN: Sparse Representations and Compressed Sensing Training Network
Davies, M.
EU government bodies
1/10/14 → 30/09/18
Project: Research

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
Dataset

Cite this

@conference{ce799d8e6c374bb6be2babef5897d5f4,

title = "Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation",

abstract = "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.",

author = "Wajiha Bano and Mohammad Golbabaee and Arnold Benjamin and Ian Marshall and Michael Davies",

year = "2018",

language = "English",

note = "Joint Annual Meeting ISMRM-ESMRMB 2018 ; Conference date: 16-06-2018 Through 21-06-2018",

url = "https://www.ismrm.org/18m/",

}

TY - CONF

T1 - Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation

AU - Bano, Wajiha

AU - Golbabaee, Mohammad

AU - Benjamin, Arnold

AU - Marshall, Ian

AU - Davies, Michael

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Abstract

T2 - Joint Annual Meeting ISMRM-ESMRMB 2018

Y2 - 16 June 2018 through 21 June 2018

ER -

Improved Accuracy of Accelerated 3D T2* Mapping through Coherent Parallel Maximum Likelihood Estimation

Abstract / Description of output

Conference

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Projects

CQ-MRI: Compressed Quantitative MRI

SpaRTaN: SpaRTaN: Sparse Representations and Compressed Sensing Training Network

Datasets

Improved Accuracy of Accelerated 3D T2* Mapping with Coherent Parallel Maximum Likelihood Estimation

Cite this