Abstract

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.

  Funding Agency

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

  Institution

Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304

  Publications

Kogan, Feliks; Levine, Evan; Chaudhari, Akshay S et al. (2018) Simultaneous bilateral-knee MR imaging. Magn Reson Med 80:529-537
Gibbons, Eric K; Le Roux, Patrick; Pauly, John M et al. (2018) Slice profile effects on nCPMG SS-FSE. Magn Reson Med 79:430-438
Chen, Feiyu; Taviani, Valentina; Malkiel, Itzik et al. (2018) Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks. Radiology 289:366-373
Chaudhari, Akshay S; Fang, Zhongnan; Kogan, Feliks et al. (2018) Super-resolution musculoskeletal MRI using deep learning. Magn Reson Med 80:2139-2154
Yoon, Daehyun; Biswal, Sandip; Rutt, Brian et al. (2018) Feasibility of 7T MRI for imaging fascicular structures of peripheral nerves. Muscle Nerve 57:494-498
Gibbons, Eric K; Le Roux, Patrick; Vasanawala, Shreyas S et al. (2018) Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Trans Med Imaging 37:200-209
Chaudhari, Akshay S; Black, Marianne S; Eijgenraam, Susanne et al. (2018) Five-minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double-echo in steady-state at 3T. J Magn Reson Imaging 47:1328-1341
Weber, Hans; Hargreaves, Brian A; Daniel, Bruce L (2018) Artifact-reduced imaging of biopsy needles with 2D multispectral imaging. Magn Reson Med 80:655-661
Gibbons, Eric K; Vasanawala, Shreyas S; Pauly, John M et al. (2018) Body diffusion-weighted imaging using magnetization prepared single-shot fast spin echo and extended parallel imaging signal averaging. Magn Reson Med 79:3032-3044
Tian, Qiyuan; Wintermark, Max; Jeffrey Elias, W et al. (2018) Diffusion MRI tractography for improved transcranial MRI-guided focused ultrasound thalamotomy targeting for essential tremor. Neuroimage Clin 19:572-580

Showing the most recent 10 out of 151 publications