TY - GEN
T1 - Estimation of ventricular fiber orientations in infarcted hearts for patient-specific simulations
AU - Vadakkumpadan, Fijoy
AU - Arevalo, Hermenegild
AU - Pashakhanloo, Farhad
AU - Alers, Anthony
AU - Dawoud, Fady
AU - Schuleri, Karl H.
AU - Herzka, Daniel
AU - McVeigh, Elliot
AU - Lardo, Albert C.
AU - Trayanova, Natalia
PY - 2013/8/22
Y1 - 2013/8/22
N2 - Patient-specific modeling of the heart is limited by lack of technology to acquire myocardial fiber orientations in the clinic. To overcome this limitation, we recently developed an image-based methodology to estimate the fiber orientations. In this study, we test the efficacy of that methodology in infarcted hearts. To this end, we implemented a processing pipeline to compare estimated fiber orientations of infarcted hearts with measured ones, and quantify the effect of the estimation error on outcomes of electrophysiological simulations. The pipeline was applied to images that we acquired from three infarcted canine hearts. The new insights obtained from the project will pave the way for the development of patient-specific models of infarcted hearts that can aid physicians in personalized diagnosis and decisions regarding electrophysiological interventions.
AB - Patient-specific modeling of the heart is limited by lack of technology to acquire myocardial fiber orientations in the clinic. To overcome this limitation, we recently developed an image-based methodology to estimate the fiber orientations. In this study, we test the efficacy of that methodology in infarcted hearts. To this end, we implemented a processing pipeline to compare estimated fiber orientations of infarcted hearts with measured ones, and quantify the effect of the estimation error on outcomes of electrophysiological simulations. The pipeline was applied to images that we acquired from three infarcted canine hearts. The new insights obtained from the project will pave the way for the development of patient-specific models of infarcted hearts that can aid physicians in personalized diagnosis and decisions regarding electrophysiological interventions.
KW - Physiological modeling
KW - atlas-based methods
KW - magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=84881654990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881654990&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2013.6556555
DO - 10.1109/ISBI.2013.6556555
M3 - Conference contribution
AN - SCOPUS:84881654990
SN - 9781467364546
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 636
EP - 639
BT - ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
T2 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Y2 - 7 April 2013 through 11 April 2013
ER -