Quantification of 3-D deformations of human organs plays an important role in the understanding phenomena that have an impact in medical diagnosis and treatment of diseases. One important example is the mechanics of heart functions. Comparing normal deformation patterns of the cardiac cycle in healthy and diseased individuals can be a diagnostic tool that provides early and accurate indications of the onset of heart diseases. The tagging technique is an experimental mechanics method that makes it possible to utilize the extensive literature existing on the analysis of deformations utilizing the digital moire´ method for accurate and fast quantification of the heart 3-D kinematics. MRI tagging is an imaging technique used in medicine to visualize the structures of tissues of the human body in detail. MRI uses of the phenomenon of nuclear magnetic resonance to image tissues by exciting the nuclei of atoms in the tissue. Because of the different chemical composition of the tissues it can provide details that cannot be visible with CT Scans. By modulating magnetization it is possible to inscribe lattice-patterns in the tissue volume. These lattices are fixed to the under laying tissues for periods of time long enough to follow a cardiac cycle. The objective of this paper is to outline image processing techniques that can be utilized to decode the displacements and strains taking into consideration that one is dealing with large 3-D deformations that form a time sequence of images. These techniques are based on fundamental principles that have been developed in the field of digital moire´
Data processing techniques to analyze large 3-D deformations of cardiac cycles / Sciammarella, Ca; Lamberti, Luciano; Boccaccio, Antonio. - 3:(2015), pp. 63-87. (Intervento presentato al convegno SEM Annual Conference on Experimental and Applied Mechanics, 2014 tenutosi a Greenville, SC, USA nel June 02-05, 2014) [10.1007/978-3-319-06986-9_7].
Data processing techniques to analyze large 3-D deformations of cardiac cycles.
LAMBERTI, Luciano;BOCCACCIO, Antonio
2015-01-01
Abstract
Quantification of 3-D deformations of human organs plays an important role in the understanding phenomena that have an impact in medical diagnosis and treatment of diseases. One important example is the mechanics of heart functions. Comparing normal deformation patterns of the cardiac cycle in healthy and diseased individuals can be a diagnostic tool that provides early and accurate indications of the onset of heart diseases. The tagging technique is an experimental mechanics method that makes it possible to utilize the extensive literature existing on the analysis of deformations utilizing the digital moire´ method for accurate and fast quantification of the heart 3-D kinematics. MRI tagging is an imaging technique used in medicine to visualize the structures of tissues of the human body in detail. MRI uses of the phenomenon of nuclear magnetic resonance to image tissues by exciting the nuclei of atoms in the tissue. Because of the different chemical composition of the tissues it can provide details that cannot be visible with CT Scans. By modulating magnetization it is possible to inscribe lattice-patterns in the tissue volume. These lattices are fixed to the under laying tissues for periods of time long enough to follow a cardiac cycle. The objective of this paper is to outline image processing techniques that can be utilized to decode the displacements and strains taking into consideration that one is dealing with large 3-D deformations that form a time sequence of images. These techniques are based on fundamental principles that have been developed in the field of digital moire´I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
