? The goal of this proposal is to develop and validate a comprehensive examination of valvular heart diseases. Valvular heart disease affects approximately 10% of the general population in the United States. Over the past 20 years, valvular diagnosis has undergone a revolution due to advances in cardiac ultrasound. However, ultrasound has inherent limitations with respect to tissue characterization, spatial resolution, and the need for acoustic windows. Particularly difficult are the evaluation of valvular morphology, quantitation of valvular stenosis and identification and quantitation of valvular regurgitation. The examination of valvular heart disease includes the assessment of valvular morphology, cardiac output, intracardiac pressures, ventricular volume and volume regurgitations. Magnetic resonance imaging (MRI) is potentially the most appropriate technique for addressing all of these areas in a single examination. Current MR techniques for valvular imaging suffer from poor temporal and spatial resolutions, require prolonged acquisitions, and frequently require laborious post processing. As a result, there is a gap between what is scientifically feasible and what is currently applied clinically. Our goal in this proposal is to eliminate this gap between the potential of MRI and current clinical practice. Our group has pioneered many of the components that will be useful for the diagnosis of valvular heart disease, including real-time imaging, real-time color flow, and MR Doppler. In this proposal we will integrate and extend these components along with new developments to provide an integrated and comprehensive assessment of valvular function. ? ?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL074332-04
Application #
7103467
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Buxton, Denis B
Project Start
2003-08-01
Project End
2008-01-31
Budget Start
2006-08-01
Budget End
2008-01-31
Support Year
4
Fiscal Year
2006
Total Cost
$372,515
Indirect Cost
Name
Stanford University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Nielsen, Jon-Fredrik; Nayak, Krishna S (2009) Referenceless phase velocity mapping using balanced SSFP. Magn Reson Med 61:1096-102
Sümbül, Uygar; Santos, Juan M; Pauly, John M (2009) A practical acceleration algorithm for real-time imaging. IEEE Trans Med Imaging 28:2042-51
Sümbül, Uygar; Santos, Juan M; Pauly, John M (2009) Improved time series reconstruction for dynamic magnetic resonance imaging. IEEE Trans Med Imaging 28:1093-104
Nielsen, Jon-Fredrik; Nayak, Krishna S (2009) Interleaved balanced SSFP imaging: artifact reduction using gradient waveform grouping. J Magn Reson Imaging 29:745-50
Lustig, Michael; Kim, Seung-Jean; Pauly, John M (2008) A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories. IEEE Trans Med Imaging 27:866-73
Liu, Chia-Ying; Varadarajan, Padmini; Pohost, Gerald M et al. (2008) Real-time color-flow MRI at 3 T using variable-density spiral phase contrast. Magn Reson Imaging 26:661-6
Sung, Kyunghyun; Nayak, Krishna S (2008) Measurement and characterization of RF nonuniformity over the heart at 3T using body coil transmission. J Magn Reson Imaging 27:643-8
Kim, Yoon-Chul; Nielsen, Jon-Fredrik; Nayak, Krishna S (2008) Automatic correction of echo-planar imaging (EPI) ghosting artifacts in real-time interactive cardiac MRI using sensitivity encoding. J Magn Reson Imaging 27:239-45
Cukur, Tolga; Santos, Juan M; Nishimura, Dwight G et al. (2008) Varying kernel-extent gridding reconstruction for undersampled variable-density spirals. Magn Reson Med 59:196-201
Lustig, Michael; Donoho, David; Pauly, John M (2007) Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182-95

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