Jonathan R. Polimeni
Harvard University
214 Papers
600 Citations
Jonathan R. Polimeni is an academic researcher from Harvard University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 46, co-authored 177 publications. Previous affiliations of Jonathan R. Polimeni include Massachusetts Institute of Technology & Boston University.
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Papers
Magnetic Resonance Imaging technology-bridging the gap between noninvasive human imaging and optical microscopy.
TL;DR: New MR encoding technologies are required to convert improved sensitivity into higher resolution and enable increased image encoding in the time-frame needed to follow hemodynamic changes associated with brain activation.
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Patent
System and method for rapid, multi-shot segmented magnetic resonance imaging
Jonathan R. Polimeni,Lawrence L. Wald,Kawin Setsompop +2 more
- 13 Feb 2014
TL;DR: In this article, a segmented echo planar imaging (EPI) pulse sequence was proposed for medical imaging using a magnetic resonance imaging system, which includes performing multiple RF excitation pulses designed to excite multiple imaging slices across the subject simultaneously.
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Probing in vivo cortical myeloarchitecture in humans via line-scan diffusion acquisitions at 7 T with 250-500 micron radial resolution
Mukund Balasubramanian,Mukund Balasubramanian,Robert V. Mulkern,Robert V. Mulkern,Jeffrey J. Neil,Stephan E. Maier,Stephan E. Maier,Stephan E. Maier,Jonathan R. Polimeni,Jonathan R. Polimeni +9 more
TL;DR: The goal of this study was to measure diffusion signals within the cerebral cortex using the line‐scan technique to achieve extremely high resolution in the radial direction and to demonstrate the utility of these measurements for investigating laminar architecture in the living human brain.
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Coil-to-coil physiological noise correlations and their impact on functional MRI time-series signal-to-noise ratio
TL;DR: This work examines the effect of thermal noise correlations between array coil elements on the image Signal to Noise Ratio (SNR0) of functional imaging by analyzing the element‐to‐element covariance matrix of the time‐series fluctuations.
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Dynamic distortion correction for functional MRI using FID navigators.
Tess E. Wallace,Tess E. Wallace,Jonathan R. Polimeni,Jason P. Stockmann,W. Scott Hoge,W. Scott Hoge,Tobias Kober,Tobias Kober,Tobias Kober,Simon K. Warfield,Simon K. Warfield,Onur Afacan,Onur Afacan +12 more
TL;DR: A method for slice‐wise dynamic distortion correction for EPI is developed using rapid spatiotemporal B0 field measurements from FID navigators (FIDnavs) and the efficacy of this new approach relative to an established data‐driven technique is evaluated.
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