This Technology Research and Development (TR&D) project aims to provide advanced, quantitative body MRI methods that can quickly be integrated into clinical testing or research studies. The development of MRI methods that have clinical impact demands substantial iteration based on feedback from human studies. An integral part of this project is to work closely with numerous collaborations to speed development of highimpact imaging solutions to clinical problems. This proposal is primarily focused on techniques to image cancer, renal function and osteoarthritis-related conditions, though numerous other applications will likely emerge from the broad array of collaborations and service projects. The overall goals of this project are divided into 3 specific aims: (1) to offer a complete quantitative volumetric dynamic contrast-enhanced (DCE) acquisition, reconstruction and post-processing suite that is robust to motion, static and radiofrequency magnetic field variations and the presence of fat, (2) to develop highresolution quantitative diffusion-weighted imaging (DWI) methods that are robust to the challenges of motion in the body, and (3) to disseminate advanced musculoskeletal methods including a 5-minute 3D morphologic (fat and water) and quantitative (T2, T2* and diffusion) imaging method as well as a novel, rapid approach to distortion-corrected imaging near metallic implants. Collaborations will include numerous investigators who lead research projects and clinical services that utilize all methods in the aims. The project will leverage technology development within the Biomedical Technology Resource Center as well as other funded projects, including advanced sampling, compressed sensing, novel motion correction, multiband imaging, rapid steady-state imaging, quantitative signal model fits, and new approaches to imaging near metal. The main focus will be to combine technologies into robust implementations that can be used routinely in research studies and clinical settings.
| 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 |
| 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 |
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