During the past year we have continued enhancement of imaging platforms to guide cardiovascular catheter based treatments. These have included co-registered MRI with conventional X-ray, as well as standalone real-time MRI. We are working closely with industry to introduce motion-corrected roadmaps into clinical practice. We continue to enhance a system for safe patient hemodynamic monitoring and recording during interventional MRI experiments and during transfer between X-ray and MRI. We are applying this work towards adults and children undergoing MRI catheterization, and we are working internally and with industry to enhance this technology. Our collaborator Michael S. Hansen has used inexpensive parallel computing resources afforded by game-oriented graphics processing units to accelerate reconstruction of computationally-intensive MRI data. We have successfully integrated non-Cartesian parallel imaging in an interactive acquisition and reconstruction setup and demonstrated that real-time reconstruction and visualization is possible for relatively complicated reconstruction algorithms. This has been integrated with the scanner software to allow seamless combination with other sequence components. This has been disseminated as an open-source image-streaming framework that has become very popular with extensive applications in biomedical imaging. We have developed a system to provide the operator multiple simultaneous representations of real-time MRI data balancing temporal and spatial resolution interactively. The operator chooses the desired representation. We are developing techniques of MRI that minimize heating of metallic devices, that might allow MRI catheterization using tools previously considered unsafe, or that might enhance the safety of MRI in patients who have implanted devices like pacemakers and defibrillators. We are working closely with industry to transfer our developments into commercial tools that can be used widely in medical care throughout the world.

Project Start
Project End
Budget Start
Budget End
Support Year
4
Fiscal Year
2013
Total Cost
$402,121
Indirect Cost
Name
National Heart, Lung, and Blood Institute
Department
Type
DUNS #
City
State
Country
Zip Code
Campbell-Washburn, Adrienne E; Xue, Hui; Lederman, Robert J et al. (2016) Real-time distortion correction of spiral and echo planar images using the gradient system impulse response function. Magn Reson Med 75:2278-85
McGuirt, Delaney; Mazal, Jonathan; Rogers, Toby et al. (2016) X-ray Fused With Magnetic Resonance Imaging to Guide Endomyocardial Biopsy of a Right Ventricular Mass. Radiol Technol 87:622-6
Rogers, Toby; Mahapatra, Srijoy; Kim, Steven et al. (2016) Transcatheter Myocardial Needle Chemoablation During Real-Time Magnetic Resonance Imaging: A New Approach to Ablation Therapy for Rhythm Disorders. Circ Arrhythm Electrophysiol 9:e003926
Mazal, Jonathan R; Rogers, Toby; Schenke, William H et al. (2016) Interventional-Cardiovascular MR: Role of the Interventional MR Technologist. Radiol Technol 87:261-70
Ratnayaka, Kanishka; Rogers, Toby; Schenke, William H et al. (2016) Magnetic Resonance Imaging-Guided Transcatheter Cavopulmonary Shunt. JACC Cardiovasc Interv 9:959-70
Campbell-Washburn, Adrienne E; Faranesh, Anthony Z; Lederman, Robert J et al. (2015) Magnetic Resonance Sequences and Rapid Acquisition for MR-Guided Interventions. Magn Reson Imaging Clin N Am 23:669-79
Basar, Burcu; Rogers, Toby; Ratnayaka, Kanishka et al. (2015) Segmented nitinol guidewires with stiffness-matched connectors for cardiovascular magnetic resonance catheterization: preserved mechanical performance and freedom from heating. J Cardiovasc Magn Reson 17:105
Campbell-Washburn, Adrienne E; Rogers, Toby; Basar, Burcu et al. (2015) Positive contrast spiral imaging for visualization of commercial nitinol guidewires with reduced heating. J Cardiovasc Magn Reson 17:114
Rogers, Toby; Lederman, Robert J (2015) Interventional CMR: Clinical applications and future directions. Curr Cardiol Rep 17:31
Gudino, N; Sonmez, M; Yao, Z et al. (2015) Parallel transmit excitation at 1.5 T based on the minimization of a driving function for device heating. Med Phys 42:359-71

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