RT Journal Article
T1 A novel data-driven method for the analysis and reconstruction of cardiac cine MRI
A1 Groun, Nourelhouda
A1 Villalba Orero, María
A1 Lara-Pezzi, Enrique
A1 Valero, Eusebio
A1 Garicano-Mena, Jesús
A1 Le Clainche, Soledad
AB Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for measuring cardiac function. This imaging technique can provide us with detailed information about cardiac structure, tissue composition and even blood flow, which makes it highly used in medical science. But due to the image time acquisition and several other factors the MRI sequences can easily get corrupted, causing radiologists to misdiagnose 40 million people worldwide each and every single year. Hence, the urge to decrease these numbers, researchers from different fields have been introducing novel tools and methods in the medical field. Aiming to the same target, we consider in this work the application of the higher order dynamic mode decomposition (HODMD) technique. The HODMD algorithm is a linear method, which was originally introduced in the fluid dynamics domain, for the analysis of complex systems. Nevertheless, the proposed method has extended its applicability to numerous domains, including medicine. In this work, HODMD in used to analyze sets of MR images of a heart, with the ultimate goal of identifying the main patterns and frequencies driving the heart dynamics. Furthermore, a novel interpolation algorithm based on singular value decomposition combined with HODMD is introduced, providing a three-dimensional reconstruction of the heart. This algorithm is applied (i) to reconstruct corrupted or missing images, and (ii) to build a reduced order model of the heart dynamics.
PB Elsevier
SN 0010-4825
YR 2022
FD 2022
LK https://hdl.handle.net/20.500.14352/95377
UL https://hdl.handle.net/20.500.14352/95377
LA eng
NO Groun, N., Villalba-Orero, M., Lara-Pezzi, E., Valero, E., Garicano-Mena, J., & Le Clainche, S. (2022). A novel data-driven method for the analysis and reconstruction of cardiac cine MRI. Computers in biology and medicine, 151(Pt B), 106317. https://doi.org/10.1016/j.compbiomed.2022.106317
NO Ministerio de Ciencia e Innovación (España)
NO European Commission
DS Docta Complutense
RD 15 abr 2025