Cardiovascular diseases are common and life-threatening, making them the prime killer in the United States. Magnetic resonance imaging (MRI) is considered a very promising candidate for clinical cardiac imaging, due in part to its safety, its image contrast and its flexibility in the positioning of imaging planes/volumes. The present work aims at improving the diagnostic value of cardiac MRI exams, with the understanding that an accurate diagnosis may lead to successful treatment and monitoring. A great challenge for MRI in cardiac applications comes from the need to freeze or resolve both cardiac and respiratory motions. Suppressing the respiratory motion through breath-holding is not an option for longer, more elaborate studies. Although respiratory-compensated, free-breathing cardiac imaging has been shown to provide useful clinical information, further performance improvements are believed to be limited chiefly by residual respiratory blurring/artifacts. The novel approach at respiratory-compensation introduced here is expected to detect and correct respiratory motion much more accurately/completely than existing strategies, hopefully increasing spatial resolution through a reduction in blurring. Very fast 3D imaging will be developed to resolve the respiratory cycle. Respiration-monitoring stretchable belts, a standard product available with essentially any MRI scanner, provide a very high temporal resolution account of how respiration proceeds during a scan. The wealth of spatial/geometrical information provided by our fast 3D imaging sequence will be fused with the very high temporal resolution information from a respiration-monitoring belt, to detect and correct for the spatially and temporally complex respiration-induced motion and deformation of the heart. Once the data will be corrected for the effect of respiration, it will be converted from a time series of images (where respiratory motion can be detected and corrected) to a cardiac-phase series of images (where the cardiac beating motion can be seen). As a result, a respiratory-compensated cardiac-phase series of 3D images of the heart will be generated. This approach has the potential of being especially useful in patients for whom breath-holding is not an option, e.g. when imaging very sick, mentally impaired or infant patients.
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| Madore, Bruno; Panych, Lawrence P; Mei, Chang-Sheng et al. (2011) Multipathway sequences for MR thermometry. Magn Reson Med 66:658-68 |
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| Ababneh, Riad; Yuan, Jing; Madore, Bruno (2010) Fat-water separation in dynamic objects using an UNFOLD-like temporal processing. J Magn Reson Imaging 32:962-70 |
| Chao, Tzu-Cheng; Chung, Hsiao-Wen; Hoge, W Scott et al. (2010) A 2D MTF approach to evaluate and guide dynamic imaging developments. Magn Reson Med 63:407-18 |
| Madore, Bruno; White, P Jason; Thomenius, Kai et al. (2009) Accelerated focused ultrasound imaging. IEEE Trans Ultrason Ferroelectr Freq Control 56:2612-23 |
| Madore, Bruno; Hoge, W Scott; Kwong, Raymond (2006) Extension of the UNFOLD method to include free breathing. Magn Reson Med 55:352-62 |
| Madore, Bruno; Farneback, Gunnar; Westin, Carl-Fredrik et al. (2006) A new strategy for respiration compensation, applied toward 3D free-breathing cardiac MRI. Magn Reson Imaging 24:727-37 |
| Zhao, Lei; Madore, Bruno; Panych, Lawrence P (2005) Reduced field-of-view MRI with two-dimensional spatially-selective RF excitation and UNFOLD. Magn Reson Med 53:1118-25 |
| Madore, Bruno (2004) UNFOLD-SENSE: a parallel MRI method with self-calibration and artifact suppression. Magn Reson Med 52:310-20 |
