E. Brian Welch

Implementation of a semi-automated post-processing system for parametric MRI mapping of human breast cancer.

High-resolution 7T MRI of the human hippocampus in vivo.

A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response.

Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer.

The sign convention for phase values on different vendor systems: definition and implications for susceptibility-weighted imaging.

Practical considerations for the design of sparse-spokes pulses.

Effect of MR distortion on targeting for deep-brain stimulation.

Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms.

Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy.

Dynamic B0 shimming at 7 T.

Development of chemical exchange saturation transfer at 7 T.

Imaging body composition in obesity and weight loss: challenges and opportunities.

Motion correction in diffusion-weighted MRI of the breast at 3T.

On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer.

Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI.

A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer.

Integrating Medical Imaging Analyses through a High-throughput Bundled Resource Imaging System.

Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.

Robustness of quantitative compressive sensing MRI: the effect of random undersampling patterns on derived parameters for DCE- and DSC-MRI.

Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer.

Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.

Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods.

Quantitative effects of inclusion of fat on muscle diffusion tensor MRI measurements.

Medical imaging: Sleuthing tissue fingerprints.

Canine body composition quantification using 3 tesla fat-water MRI.

Comparison of gross body fat-water magnetic resonance imaging at 3 Tesla to dual-energy X-ray absorptiometry in obese women.

Prospective real-time head motion correction using inductively coupled wireless NMR probes.

Automating PACS Quality Control with the Vanderbilt Image Processing Enterprise Resource.

Potential of compressed sensing in quantitative MR imaging of cancer.

Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging.

Continuously moving table MRI with golden angle radial sampling.

Detection of microcalcifications by characteristic magnetic susceptibility effects using MR phase image cross-correlation analysis.

DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis.

Whole-body continuously moving table fat-water MRI with dynamic B0 shimming at 3 Tesla.

Imaging methods for analyzing body composition in human obesity and cardiometabolic disease.

Incorporating dixon multi-echo fat water separation for novel quantitative magnetization transfer of the human optic nerve in vivo.

Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom.

Characterizing active and inactive brown adipose tissue in adult humans using PET-CT and MR imaging.

Fat-water MRI of a diet-induced obesity mouse model at 15.2T.