Accounting for bias in estimated metabolite concentrations from cohort studies as caused by limiting the fitting parameter space

Author:Rudy Rizzo  Roland Kreis  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2011  

Room Session:Concurrent 2  

Institution:University of Bern  

Application of Deep Leaning Model for Quality Control of Short-echo 7T MRSI with Various Disease Types

Automatic phase order correction in challenging MR spectra

Author:Maria Yanez Lopez  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2008  

Room Session:Concurrent 2  

Institution:King's College London  

Bayesian deep learning-based 1H-MRS of the brain: Metabolite quantification with uncertainty estimation using Monte Carlo dropout

Computation of Cramér-Rao Lower Bounds (CRLB) for spectral baseline shapes

Data-driven bases optimization for fitting of in vivo MR spectra

Deep Learning Using Synthetic Data for Signal Denoising and Spectral Fitting in Deuterium Metabolic Imaging

Impact of training size on deep learning performance in in vivo 1H MRS

Author:Sungtak Hong  Jun Shen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2015  

Room Session:Concurrent 2  

Institution:National Institutes of Health  

In vivo Cerebellum MRSI reconstruction by domain-transform manifold learning

The influence of spectral registration on diffusion-weighted magnetic resonance spectroscopy ADC estimates.

Author:Christopher Jenkins  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2022  

Room Session:Concurrent 2  

Institution:Cardiff University  

ORYX-MRSI: A data analysis software for multi-slice 1H-MRSI

Quantification of 2D-MRSI Datasets using Random Forest Regression Comparing to Prior Knowledge Based Spectral Fitting applied to Brain Tumors

Reproducibility and Coverage of Human Whole-brain 1H FID MRSI at 9.4 T after Processing Pipeline Optimization

Reproducibility of High-Resolution 1H-MRSI at 7T Using SPICE