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Characterization of hepatic fatty acids using magnetic resonance spectroscopy for the assessment of treatment response to metformin in an eNOS mouse model of metabolic nonalcoholic fatty liver disease/nonalcoholic steatohepatitis.
NMR Biomed
August 2023
ANID - Millennium Science Initiative Program - Millennium Institute Intelligent Healthcare Engineering, Santiago, Chile.
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. Liver biopsy remains the gold standard for diagnosis and staging of disease. There is a clinical need for noninvasive diagnostic tools for risk stratification, follow-up, and monitoring treatment response that are currently lacking, as well as preclinical models that recapitulate the etiology of the human condition.
View Article and Find Full Text PDFRapid data-driven model reduction of nonlinear dynamical systems including chemical reaction networks using ℓ-regularization.
Chaos
May 2020
Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA.
Large-scale nonlinear dynamical systems, such as models of atmospheric hydrodynamics, chemical reaction networks, and electronic circuits, often involve thousands or more interacting components. In order to identify key components in the complex dynamical system as well as to accelerate simulations, model reduction is often desirable. In this work, we develop a new data-driven method utilizing ℓ-regularization for model reduction of nonlinear dynamical systems, which involves minimal parameterization and has polynomial-time complexity, allowing it to easily handle large-scale systems with as many as thousands of components in a matter of minutes.
View Article and Find Full Text PDFMulti-parametric liver tissue characterization using MR fingerprinting: Simultaneous T , T , T *, and fat fraction mapping.
Magn Reson Med
November 2020
School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Purpose: Quantitative T , T , T *, and fat fraction (FF) maps are promising imaging biomarkers for the assessment of liver disease, however these are usually acquired in sequential scans. Here we propose an extended MR fingerprinting (MRF) framework enabling simultaneous liver T , T , T *, and FF mapping from a single ~14 s breath-hold scan.
Methods: A gradient echo (GRE) liver MRF sequence with nine readouts per TR, low flip angles (5-15°), varying magnetisation preparation and golden angle radial trajectory is acquired at 1.
Intrahepatic fatty acids composition as a biomarker of NAFLD progression from steatosis to NASH by using H-MRS.
RSC Adv
December 2019
Biomedical Imaging Center, Pontificia Universidad Católica de Chile Chile
Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in the world and it is becoming one of the most frequent cause of liver transplantation. Unfortunately, the only available method that can reliably determine the stage of this disease is liver biopsy, however, it is invasive and risky for patients. The purpose of this study is to investigate changes in the intracellular composition of the liver fatty acids during the progression of the NAFLD in a mouse model fed with Western diet, with the aim of identify non-invasive biomarkers of NAFLD progression based in H-MRS.
View Article and Find Full Text PDFNoise estimation for the velocity in MRI phase-contrast.
Magn Reson Imaging
November 2019
Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago 7820436, Chile; Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago 7820436, Chile; Institute for Mathematical and Computational Engineering, Pontificia Universidad Catolica de Chile, Santiago 7820436, Chile.
The purpose of this study is to estimate the precision or statistical variability of the velocity measurements computed from MRI phase-contrast. From the analytical probability density function (PDF) of the phase in the signal we obtain the PDF of the velocity by means of an auto-convolution. This PDF allows the estimation of the precision of the velocity, important for the correct interpretation of the many parameters that are based on it.
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