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Input layer regularization for magnetic resonance relaxometry biexponential parameter estimation

Published:2022-06-20 Issue:11 Volume:60 Page:1076-1086
ISSN:0749-1581
Container-title:Magnetic Resonance in Chemistry
language:en
Short-container-title:Magnetic Reson in Chemistry

Author:

Rozowski Michael¹²^ORCID,Palumbo Jonathan³,Bisen Jay³,Bi Chuan³^ORCID,Bouhrara Mustapha³,Czaja Wojciech²,Spencer Richard G.³

Affiliation:

1. Applied Mathematics and Statistics, and Scientific Computation University of Maryland College Park Maryland USA

2. Department of Mathematics University of Maryland College Park Maryland USA

3. National Institute on Aging, National Institutes of Health Baltimore Maryland USA

Funder

National Institute on Aging

National Science Foundation of Sri Lanka

Division of Mathematical Sciences

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrc.5289

Reference65 articles.

1. Incorporation of rician noise in the analysis of biexponential transverse relaxation in cartilage using a multiple gradient echo sequence at 3 and 7 tesla

2. Stabilization of the inverse Laplace transform of multiexponential decay through introduction of a second dimension

3. On the use of bayesian probability theory for analysis of exponential decay date: An example taken from intravoxel incoherent motion experiments

4. Anomalous T2 relaxation in normal and degraded cartilage

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial neural networks in magnetic resonance relaxometry;Annual Reports on NMR Spectroscopy;2024

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