James Pipe
University of Wisconsin-Madison, WI·Biomedical Engineering
Magnetic resonance imaging (MRI) is a powerful medical scan, but its value is often reduced by slow exams, inconsistent image quality, patient anxiety, operating errors, and technologists pulled away from caring for patients. Each of these problems tends to worsen the others.
- Fields
Biomedical Engineering
Physics
Medicine & Clinical Research
- Topics
magnetic resonance imaging
spiral imaging
pulse sequence design
- Grants
- 1 known grant, through May 2029
What they work on
- Develop a portfolio of spiral-based MRI sequences optimized for signal-to-noise ratio and designed to pair with modern AI-based image reconstruction, to speed up common clinical scans and keep image quality and contrast consistent.
- Build infrastructure that automates and clarifies routine MRI operating tasks, to prevent protocol errors, shorten the time between scans and free technologists to focus on patients.
- Create a scanner protocoling and operating approach that uses a physics-free lexicon, then test it with the new sequences for speed, image quality, clarity, quietness and lower radiofrequency power deposition in a clinical setting.
More about the research
Shortages of technologists and radiologists, along with growing demand for imaging, make the problem urgent. This project takes a broad approach and builds a set of technologies that work together to make MRI faster, more consistent, safer and simpler to run.
Why it matters
Faster, simpler and more consistent MRI could shorten exams, reduce operating errors and make scanning quieter and safer for patients with active implants. It could also ease pressure from shortages of technologists and radiologists. The grant states that these improvements could widen and make fairer public access to MRI across nearly all areas of clinical use.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Krishna Nayak
University of Southern California, CA·Biomedical Engineering
Develop and technically validate volumetric real-time MRI data acquisition on a 0.55 Tesla scanner to image the moving heart and airway in 3D.
Spencer L. Bowen
University of Texas Southwestern Medical Center, TX·Biomedical Engineering
Build a device that rapidly and safely moves an external PET source into and out of a PET/MR scanner, so that signal attenuation can be measured directly during patient heart imaging.
Alexey Tonyushkin
Oakland University, MI·Biomedical Engineering
Upgrade a single-sided magnetic particle imaging scanner built on a field-free line design so it can perform dynamic, multi-slice 3D imaging using mechanical rotation, height control of the field-free line and adjustable gradient strength.
The school
University of Wisconsin-Madison: 91 labs on PI Pages, $1.9B a year on research, 854 research doctorates a year.
Reach out
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