Title :
Identification of myocardial infarction using three-dimensional strain tensor fractional anisotropy
Author :
Soleimanifard, Sahar ; Abd-Elmoniem, Khaled Z. ; Agarwal, Harsh K. ; Tomas, Miguel S. ; Sasano, Tetsuo ; Vonken, Evertjan ; Youssef, Amr ; Abraham, M. Roselle ; Abraham, Theodore P. ; Prince, Jerry L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
Accurate localization of myocardial viability is important in diagnosis of infarction. Regional strain function provides excessive information for clinical decision making but comparison of strain tensor profiles across differing tissue types is usually difficult due to multi-variate nature of tensors. It is desirable to describe tensors with simplified scalar indices which are more mathematically and statistically intuitive. In this work, anisotropy of tensors in healthy and experimental infarct regions in a large animal model is assessed and compared to directional components of strain tensors which are currently the most popular indices in active use. Myocardial strain tensors are computed using zHARP, a magnetic resonance (MR) tagging technique that provides quantification of cardiac function with direct computation of three-dimensional tensors from two-dimensional short axis MR images. Fractional anisotropy of strain tensors shows high correlation with late gadolinium enhanced images and is capable of discrimination between healthy and infarcted regions.
Keywords :
biomedical MRI; cardiovascular system; medical image processing; cardiac function; healthy regions; infarct regions; infarcted regions; large animal model; late gadolinium enhanced images; magnetic resonance tagging technique; myocardial infarction; myocardial strain tensors; three-dimensional strain tensor fractional anisotropy; two-dimensional short axis MR images; Anisotropic magnetoresistance; Biomedical imaging; Capacitive sensors; Cardiology; Heart; Magnetic field induced strain; Myocardium; Strain measurement; Tagging; Tensile stress; Fractional Anisotropy; HARP; Infarction; Strain tensor; zHARP;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490309