Name
Title | ||
|---|---|---|
IDENTIFICATION OF MYOCARDIAL INFARCTION USING THREE-DIMENSIONAL STRAIN TENSOR FRACTIONAL ANISOTROPY. |
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 multivariate 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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISBI.2010.5490309 | ISBI |
Keywords | Field | DocType |
strain tensors,zharp,three-dimensional tensors,large animal model,infarct regions,infarcted regions,healthy regions,strain tensor,fractional anisotropy,myocardial infarction,myocardial strain tensors,infarction,two-dimensional short axis mr,three-dimensional strain tensor,cardiovascular system,biomedical mri,cardiac function,three-dimensional strain tensor fractional anisotropy,harp,myocardial viability,regional strain function,two-dimensional short axis mr images,late gadolinium enhanced images,magnetic resonance tagging technique,strain tensor profile,medical image processing,accurate localization,biomedical research,three dimensional,bioinformatics,cardiology,magnetic resonance,tensile stress,magnetic resonance imaging,biomedical imaging,heart,myocardial infarct,strain,anisotropic magnetoresistance,capacitive sensors | Strain (chemistry),Anisotropy,Tensor,Fractional anisotropy,Computer science,Scalar (physics),Stress (mechanics),Nuclear magnetic resonance,Magnetic resonance imaging,Infinitesimal strain theory | Conference |
Volume | ISSN | ISBN |
2010 | 1945-7928 | 978-1-4244-4126-6 |
Citations | PageRank | References |
1 | 0.41 | 2 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sahar Soleimanifard | 1 | 2 | 0.76 |
| Khaled Z. Abd-Elmoniem | 2 | 142 | 15.09 |
| Harsh K. Agarwal | 3 | 11 | 2.88 |
| Miguel S Tomas | 4 | 1 | 0.41 |
| Tetsuo Sasano | 5 | 13 | 2.04 |
| Evert-jan Vonken | 6 | 30 | 4.32 |
| Amr Youssef | 7 | 238 | 29.69 |
| M Roselle Abraham | 8 | 1 | 0.41 |
| Theodore P Abraham | 9 | 6 | 1.19 |
| Jerry L. Prince | 10 | 4990 | 488.42 |