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.
| 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 |
| 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 : |
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