This project is a competing continuation of our project entitled """"""""Parallel Magnetic Resonance Imaging: New Techniques and Technologies,"""""""" which yielded many of the seminal advances in highly accelerated parallel MRI, and demonstrated their use in imaging of the abdomen and the cardiovascular system. Our continuing project will apply these advances to the development and deployment of a rapid, simple, and comprehensive cardiac imaging protocol occupying a small number of breath-holds. We will also develop a novel goal-oriented user interface for rapid volumetric imaging, to reflect and extend the resulting simplification of workflow. Finally, we will develop the tools required to accomplish rapid volumetric cardiac imaging at high and ultrahigh field strength.
This project is a competing continuation of our project entitled """"""""Parallel Magnetic Resonance Imaging: New Techniques and Technologies,"""""""" which produced many of the key advances in highly accelerated parallel MRI, and demonstrated their use in rapid imaging of the abdomen and the cardiovascular system. The focus of our continuing project will be to use parallel MRI to create a rapid and simple procedure for evaluating comprehensive cardiac heath in a mere few minutes. We will also develop the tools required to accomplish rapid cardiac imaging at high and ultrahigh field strength, where great diagnostic benefits are expected once key technological limitations have been addressed.
|Feng, Li; Coppo, Simone; Piccini, Davide et al. (2018) 5D whole-heart sparse MRI. Magn Reson Med 79:826-838|
|Benkert, Thomas; Tian, Ye; Huang, Chenchan et al. (2018) Optimization and validation of accelerated golden-angle radial sparse MRI reconstruction with self-calibrating GRAPPA operator gridding. Magn Reson Med 80:286-293|
|Hammernik, Kerstin; Klatzer, Teresa; Kobler, Erich et al. (2018) Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 79:3055-3071|
|Feng, Li; Huang, Chenchan; Shanbhogue, Krishna et al. (2018) RACER-GRASP: Respiratory-weighted, aortic contrast enhancement-guided and coil-unstreaking golden-angle radial sparse MRI. Magn Reson Med 80:77-89|
|Feng, Li; Benkert, Thomas; Block, Kai Tobias et al. (2017) Compressed sensing for body MRI. J Magn Reson Imaging 45:966-987|
|Knoll, Florian; Holler, Martin; Koesters, Thomas et al. (2017) Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Trans Med Imaging 36:1-16|
|Vaidya, Manushka V; Collins, Christopher M; Sodickson, Daniel K et al. (2016) Dependence of B1+ and B1- Field Patterns of Surface Coils on the Electrical Properties of the Sample and the MR Operating Frequency. Concepts Magn Reson Part B Magn Reson Eng 46:25-40|
|Feng, Li; Axel, Leon; Chandarana, Hersh et al. (2016) XD-GRASP: Golden-angle radial MRI with reconstruction of extra motion-state dimensions using compressed sensing. Magn Reson Med 75:775-88|
|Deniz, Cem M; Alon, Leeor; Brown, Ryan et al. (2016) Subject- and resource-specific monitoring and proactive management of parallel radiofrequency transmission. Magn Reson Med 76:20-31|
|Deniz, Cem M; Vaidya, Manushka V; Sodickson, Daniel K et al. (2016) Radiofrequency energy deposition and radiofrequency power requirements in parallel transmission with increasing distance from the coil to the sample. Magn Reson Med 75:423-32|
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