Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation

AMP-PE offers the benefits of model-based recovery with the additional key advantage of automatic hyperparameter estimation. It works adeptly in situations where ground-truth is difficult to obtain and in clinical environments where it is desirable to automatically adapt hyperparameters to individual protocol, scanner and patient.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2024-09-13
DOI
https://doi.org/10.1002/mrm.30295
Citations
2
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.81

Funders

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article

Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation

Jason W. Allen, Deqiang Qiu, James J. Lah, Shuai Huang
2 citations
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
0.81
article

Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation

Jason W. Allen, Deqiang Qiu, James J. Lah, Shuai Huang
article en
2 citations

Abstract

AMP-PE offers the benefits of model-based recovery with the additional key advantage of automatic hyperparameter estimation. It works adeptly in situations where ground-truth is difficult to obtain and in clinical environments where it is desirable to automatically adapt hyperparameters to individual protocol, scanner and patient.

Magnetic Resonance in MedicineVol. 93(2)
Emory University (US), Indiana University Indianapolis (US), Indiana University – Purdue University Indianapolis (US)
National Institutes of Health
Openalex Percentile: Top 26%
Advanced MRI Techniques and Applications
0.81
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Accelerated model‐based T1, T2* and proton density mapping using a Bayesian approach with automatic hyperparameter estimation — Jason W. Allen, Deqiang Qiu, et al. · Magnetic Resonance in Medicine (2024) | TGRS Research Map | TGRS