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  3. Talk: “Biomechanical Quantification of the Heart Using Cardiovascular Magnetic Resonance Images”.

Talk: “Biomechanical Quantification of the Heart Using Cardiovascular Magnetic Resonance Images”.


Speaker: Hernán Mella. Ph.D.(c) in Engineering Sciences. Research lines: Biomechanical quantification of the heart, cardiac MR imaging, pulse sequence design.

Synopsis: Cardiac MRI is a valuable tool for studying cardiac function. Particularly, cardiac tagging MRI combined with advanced processing techniques allows the estimation of the tissue motion and strain, which could help for an early assessment of several diseases. However, state-of-the-art tagging sequences and processing methods suffer from several issues, including but not limited to sensibility to off-resonance, prolonged scanning times, and poor signal for tagging sequences; and sensibility to through-plane motion, large frame-to-frame displacements, and low frequencies contamination for processing techniques. In this thesis, three research articles intended to tackle some of these previous issues are presented.

The first article is a comprehensive comparison of image processing techniques applied to tagged and DENSE MR images under several imaging conditions, including non-ideal cases. This research’s primary outcome was the optimum combination of imaging parameters to obtain the best results after applying the motion estimation techniques. The second article introduced HARP-I, a novel motion estimation technique based on tagged MR images that outperformed the state of the art techniques in many aspects. The main outcomes include the reduction in the estimation sensitivity to low-frequencies contamination, noise, and large frame-to-frame displacement problem. The last article presented ORI-O-CSPAMM, a new tagging MR sequence that allowed the acquisition of CSPAMM and MICSR grids in half scan time. ORI-O-CSPAMM also allowed the removal of off-resonance artifacts during the tagging preparation, which is helpful in the presence of fat.

The three research papers presented improvements to the three essential parts of the estimation of cardiac strain, including the acquisition sequence, the imaging parameters, and the image processing tool.

27 de Julio de 2021

16:00 a 17:00


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