Jesse Hamilton

The overall goal of my research is to improve the early detection and monitoring of cardiac disease by developing novel quantitative MRI methods. My lab focuses on the following research areas: 

• Magnetic Resonance Fingerprinting for rapid quantification of myocardial tissue properties, including the MRI relaxation properties T1 and T2 
• Deep learning image reconstruction algorithms that incorporate prior knowledge of MRI physics to improve image quality, reduce noise, and enable faster scan times 
• Real-time cardiac MRI without breathholding or ECG gating 
• Pulse sequence development and image reconstruction for low-cost, low-field (0.55T) MRI scanners 
• Clinical translation of novel cardiac MRI methods in patients 

I have several openings in my lab. I am looking for motivated MS and PhD students and postdocs with a background in engineering, physics, computer science, or a related field. I also have projects for undergraduate students and for medical residents interested in MRI research. Please contact me at hamiljes@med.umich.edu to learn more. 

Selected publications

1. Hamilton JI. A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting. Front Cardiovasc Med. 2022 Jun 23;9:928546. doi: 10.3389/fcvm.2022.928546.
   
   
2. Hamilton JI, Jiang Y, Eck B, Griswold M, Seiberlich N. Cardiac cine magnetic resonance fingerprinting for combined ejection fraction, T1 and T2 quantification. NMR Biomed. 2020 Jun 5; e4323. doi: 10.1002/nbm.4323.
   
   
3. Hamilton JI, Pahwa S, Adedigba J, Frankel S, O'Connor G, Thomas R, Walker JR, Killinc O, Lo WC, Batesole J, Margevicius S, Griswold M, Rajagopalan S, Gulani V, Seiberlich N. Simultaneous Mapping of T1 and T2 Using Cardiac Magnetic Resonance Fingerprinting in a Cohort of Healthy Subjects at 1.5T. J Magn Reson Imaging. 2020 Mar 28;. doi: 10.1002/jmri.27155.
   
   
4. Hamilton JI, Seiberlich N. Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. 2020 January; 108(1):69-85.
   
   
5. Hamilton JI, Jiang Y, Ma D, Chen Y, Lo WC, Griswold M, Seiberlich N. Simultaneous multislice cardiac magnetic resonance fingerprinting using low rank reconstruction. NMR Biomed. 2019 Feb;32(2):e4041. doi: 10.1002/nbm.4041.
   
   
6. Hamilton JI, Jiang Y, Ma D, Lo WC, Gulani V, Griswold M, Seiberlich N. Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting. Magn Reson Imaging. 2018 Nov;53:40-51. doi: 10.1016/j.mri.2018.06.018.
   
   
7. Hamilton JI, Jiang Y, Chen Y, Ma D, Lo WC, Griswold M, Seiberlich N. MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density. Magn Reson Med. 2017 Apr;77(4):1446-1458. doi: 10.1002/mrm.26216.