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- Author: Jana Delfino
- Publisher: VDM Verlag
- ISBN-10: 3639131665
- ISBN-13: 9783639131666
- Format: 15.2 x 22.9 x 1.4 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
Cardiac resynchronization therapy (CRT) is a highly effective treatment for heart failure patients with dyssynchrony, but selection of patients for CRT remains problematic. The goal of this project was to develop a patient selection tool for CRT based on myocardial wall velocities acquired with Magnetic Resonance Phase Velocity Mapping (MR PVM). First the image acquisition and post-processing protocols for MR PVM imaging of myocardial tissue were developed. A myocardial motion phantom was used to verify the accuracy of, and optimize the acquisition parameters for, the developed MR PVM sequence. Excellent correlation was demonstrated between longitudinal myocardial velocity curves acquired with the optimized MR PVM sequence and Tissue Doppler velocities. A database describing the normal myocardial contraction pattern was constructed. A small group of dyssynchrony patients was compared to the normal database, and several areas of delayed contraction were identified in the patients. Finally, a method for computing transmural, endocardial, and epicardial, radial strains and strain rates from MR PVM velocity data was developed.
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- Author: Jana Delfino
- Publisher: VDM Verlag
- ISBN-10: 3639131665
- ISBN-13: 9783639131666
- Format: 15.2 x 22.9 x 1.4 cm, softcover
- Language: English English
Cardiac resynchronization therapy (CRT) is a highly effective treatment for heart failure patients with dyssynchrony, but selection of patients for CRT remains problematic. The goal of this project was to develop a patient selection tool for CRT based on myocardial wall velocities acquired with Magnetic Resonance Phase Velocity Mapping (MR PVM). First the image acquisition and post-processing protocols for MR PVM imaging of myocardial tissue were developed. A myocardial motion phantom was used to verify the accuracy of, and optimize the acquisition parameters for, the developed MR PVM sequence. Excellent correlation was demonstrated between longitudinal myocardial velocity curves acquired with the optimized MR PVM sequence and Tissue Doppler velocities. A database describing the normal myocardial contraction pattern was constructed. A small group of dyssynchrony patients was compared to the normal database, and several areas of delayed contraction were identified in the patients. Finally, a method for computing transmural, endocardial, and epicardial, radial strains and strain rates from MR PVM velocity data was developed.
Reviews