The purpose of this Technical Research and Development (TR&D) Project is the development and dissemination of technical tools for MR imaging pulse sequence development. This includes RF pulse design, pulse sequence waveform and acquisition design, and image reconstruction algorithms and software. Most of this technology is originally developed in either NIH or industrial supported projects. This TR&D provides the support for the refinement of these technologies, and translation into more general, widely useable toolboxes and software. In addition, data sets are provided, so that other investigators can reproduce the results from the original papers, and directly compare their work to our algorithms. This greatly expands the universe of investigators that can contribute to MR imaging research. The response has been tremendous, with many hundreds to thousands of downloads for each software package. For example, the sparse reconstruction matlab code has been downloaded 1840 times in the last year and half, and the paper describing these algorithms is the most downloaded paper over the last five years in Magnetic Resonance in Medicine, the leading journal for MR imaging research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
2P41EB015891-21
Application #
9042662
Study Section
Special Emphasis Panel (ZEB1-OSR-E (J2))
Program Officer
Liu, Guoying
Project Start
2015-04-01
Project End
2020-06-30
Budget Start
2015-08-07
Budget End
2016-06-30
Support Year
21
Fiscal Year
2015
Total Cost
$161,725
Indirect Cost
$60,962
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Weber, Hans; Ghanouni, Pejman; Pascal-Tenorio, Aurea et al. (2018) MRI monitoring of focused ultrasound sonications near metallic hardware. Magn Reson Med 80:259-271
Hegarty 2nd, John P; Gu, Meng; Spielman, Daniel M et al. (2018) A proton MR spectroscopy study of the thalamus in twins with autism spectrum disorder. Prog Neuropsychopharmacol Biol Psychiatry 81:153-160
Srinivasan, Subashini; Hargreaves, Brian A; Daniel, Bruce L (2018) Fat-based registration of breast dynamic contrast enhanced water images. Magn Reson Med 79:2408-2414
Yoruk, Umit; Hargreaves, Brian A; Vasanawala, Shreyas S (2018) Automatic renal segmentation for MR urography using 3D-GrabCut and random forests. Magn Reson Med 79:1696-1707
Terem, Itamar; Ni, Wendy W; Goubran, Maged et al. (2018) Revealing sub-voxel motions of brain tissue using phase-based amplified MRI (aMRI). Magn Reson Med 80:2549-2559
Levine, Evan; Hargreaves, Brian (2018) On-the-Fly Adaptive ${k}$ -Space Sampling for Linear MRI Reconstruction Using Moment-Based Spectral Analysis. IEEE Trans Med Imaging 37:557-567
Hargreaves, Brian A; Taviani, Valentina; Litwiller, Daniel V et al. (2018) 2D multi-spectral imaging for fast MRI near metal. Magn Reson Med 79:968-973
Pendse, Mihir; Stara, Riccardo; Mehdi Khalighi, Mohammad et al. (2018) IMPULSE: A scalable algorithm for design of minimum specific absorption rate parallel transmit RF pulses. Magn Reson Med :
Han, Amy Kyungwon; Bae, Jung Hwa; Gregoriou, Katerina C et al. (2018) MR-Compatible Haptic Display of Membrane Puncture in Robot-Assisted Needle Procedures. IEEE Trans Haptics :
Levine, Evan; Stevens, Kathryn; Beaulieu, Christopher et al. (2018) Accelerated three-dimensional multispectral MRI with robust principal component analysis for separation of on- and off-resonance signals. Magn Reson Med 79:1495-1505

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