Estimating myocardial fiber orientations by template warping

Hari Sundar, Dinggang Shen, George Biros, Harold Litt, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Myocardial fiber orientations are an important element for accurate modeling of cardiac electromechanics. However it is extremely difficult to estimate these directly in vivo with current imaging techniques. Most current methods for cardiac modeling use synthetic models of fiber orientation which may fail to capture subtle variations of fiber orientations in different hearts. We present a method to map the fiber orientations obtained from diffusion tensors from a template onto patient-specific cardiac geometry, using elastic registration followed by a reorientation of the diffusion tensors based on the local rotation component of the transformation. The effectiveness of the diffusion tensor mapping is validated on a set of diffusion tensor imaging datasets obtained from 19 canine subjects. The algorithm was able to map the diffusion tensors effectively for both healthy and failing hearts.

Original languageEnglish (US)
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages73-76
Number of pages4
Volume2006
StatePublished - 2006
Externally publishedYes
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period4/6/064/9/06

Fingerprint

Fiber reinforced materials
Tensors
Diffusion tensor imaging
Imaging techniques
Geometry

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sundar, H., Shen, D., Biros, G., Litt, H., & Davatzikos, C. (2006). Estimating myocardial fiber orientations by template warping. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (Vol. 2006, pp. 73-76). [1624855]

Estimating myocardial fiber orientations by template warping. / Sundar, Hari; Shen, Dinggang; Biros, George; Litt, Harold; Davatzikos, Christos.

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 2006. p. 73-76 1624855.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sundar, H, Shen, D, Biros, G, Litt, H & Davatzikos, C 2006, Estimating myocardial fiber orientations by template warping. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. vol. 2006, 1624855, pp. 73-76, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, United States, 4/6/06.
Sundar H, Shen D, Biros G, Litt H, Davatzikos C. Estimating myocardial fiber orientations by template warping. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006. 2006. p. 73-76. 1624855
Sundar, Hari ; Shen, Dinggang ; Biros, George ; Litt, Harold ; Davatzikos, Christos. / Estimating myocardial fiber orientations by template warping. 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 2006. pp. 73-76
@inproceedings{36d9b607ab2b4d73b0889a690724fc64,
title = "Estimating myocardial fiber orientations by template warping",
abstract = "Myocardial fiber orientations are an important element for accurate modeling of cardiac electromechanics. However it is extremely difficult to estimate these directly in vivo with current imaging techniques. Most current methods for cardiac modeling use synthetic models of fiber orientation which may fail to capture subtle variations of fiber orientations in different hearts. We present a method to map the fiber orientations obtained from diffusion tensors from a template onto patient-specific cardiac geometry, using elastic registration followed by a reorientation of the diffusion tensors based on the local rotation component of the transformation. The effectiveness of the diffusion tensor mapping is validated on a set of diffusion tensor imaging datasets obtained from 19 canine subjects. The algorithm was able to map the diffusion tensors effectively for both healthy and failing hearts.",
author = "Hari Sundar and Dinggang Shen and George Biros and Harold Litt and Christos Davatzikos",
year = "2006",
language = "English (US)",
isbn = "0780395778",
volume = "2006",
pages = "73--76",
booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

}

TY - GEN

T1 - Estimating myocardial fiber orientations by template warping

AU - Sundar, Hari

AU - Shen, Dinggang

AU - Biros, George

AU - Litt, Harold

AU - Davatzikos, Christos

PY - 2006

Y1 - 2006

N2 - Myocardial fiber orientations are an important element for accurate modeling of cardiac electromechanics. However it is extremely difficult to estimate these directly in vivo with current imaging techniques. Most current methods for cardiac modeling use synthetic models of fiber orientation which may fail to capture subtle variations of fiber orientations in different hearts. We present a method to map the fiber orientations obtained from diffusion tensors from a template onto patient-specific cardiac geometry, using elastic registration followed by a reorientation of the diffusion tensors based on the local rotation component of the transformation. The effectiveness of the diffusion tensor mapping is validated on a set of diffusion tensor imaging datasets obtained from 19 canine subjects. The algorithm was able to map the diffusion tensors effectively for both healthy and failing hearts.

AB - Myocardial fiber orientations are an important element for accurate modeling of cardiac electromechanics. However it is extremely difficult to estimate these directly in vivo with current imaging techniques. Most current methods for cardiac modeling use synthetic models of fiber orientation which may fail to capture subtle variations of fiber orientations in different hearts. We present a method to map the fiber orientations obtained from diffusion tensors from a template onto patient-specific cardiac geometry, using elastic registration followed by a reorientation of the diffusion tensors based on the local rotation component of the transformation. The effectiveness of the diffusion tensor mapping is validated on a set of diffusion tensor imaging datasets obtained from 19 canine subjects. The algorithm was able to map the diffusion tensors effectively for both healthy and failing hearts.

UR - http://www.scopus.com/inward/record.url?scp=33750956592&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750956592&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0780395778

SN - 9780780395770

VL - 2006

SP - 73

EP - 76

BT - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

ER -