Associate Research Scientist
Functional MRI Laboratory, University of Michigan
2360 Bonisteel Blvd
Ann Arbor, MI 48109
email: jfnielse at umich dot edu
Technologies: Steady-state MRI; MRI pulse sequence design and programming; RF pulse design
Application areas: Functional MRI; Quantitative (biomarker) MRI; Blood flow imaging and modeling
- Fast Functional MRI with Sparse Sampling and Model-Based Reconstruction, NIH R01EB023618. 3/17-12/22 (PI: Noll).
- Toward layer-specific BOLD fMRI in human cortex at 3T using 3D zoomed-EPI and small-tip fast-recovery imaging, NIH R21EB019653, 4/15-3/17 (PI: Nielsen).
- Quantitative MRI for early detection and monitoring of movement disorders, University of Michigan MCubed seed grant (PIs: Roger Albin, Jeffrey Fessler, Douglas Noll).
- Improved functional MRI using balanced SSFP and parallel RF transmission, NIH R21EB012674, 12/10-11/13 (PI: Nielsen).
- MRI Parallel Excitation for Neuroimaging Applications, NIH R01NS058576, 1/08-12/14 (PIs: Doug Noll, Steve Wright).
- Platform-independent MRI pulse sequence programming : TOPPE (https://toppemri.github.io/) is a framework for rapid prototyping of MR pulse sequences on GE scanners. TOPPE has been used with the Pulseq file format, see the Pulseq paper for more information.
- Test-retest reliability analysis of fMRI data : Matlab code for generating ROC curves and selecting optimal activation threshold. Implements the dependent model from Genovese CR, Noll DC, Eddy WF, "Estimating test-retest reliability in functional MR imaging. I: Statistical methodology.",
Magn Reson Med. 1997 Sep;38(3):497-507.
Used in this paper to compare different fMRI acquisition methods.