Towards a statistical atlas of cardiac fiber structure

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4190 LNCS - I, Issue , 2006, Pages 297-304

  Peyrat, Jean Marc ^a   Sermesant, Maxime ^a   Pennec, Xavier ^a   Delingette, Hervé ^a   Xu, Chenyang ^b   McVeigh, Elliot ^c   Ayache, Nicholas ^a  

^a INRIA   (France)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c National Institutes of Health   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIFFUSION; MATRIX ALGEBRA; STATISTICAL MECHANICS; TENSORS;

CANINE HEARTS; CARDIAC FIBER STRUCTURE; CARDIAC LAMINAR SHEETS; ELECTROMECHANICAL MODELING;

CARDIOLOGY;

ALGORITHM; ANATOMY; ANIMAL; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; DOG; EVALUATION; HEART MUSCLE; IMAGE ENHANCEMENT; MEDICAL ILLUSTRATION; METHODOLOGY; MUSCLE CELL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANATOMY, ARTISTIC; ANIMALS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; DOGS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MEDICAL ILLUSTRATION; MODELS, ANATOMIC; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; MUSCLE FIBERS; MYOCARDIUM; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750237094     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_37     Document Type: Conference Paper

References (17)

1. N. Ayache, editor. Computational Models for the Human Body. Handbook of Numerical Analysis. Elsevier, 2004.
2. A. Azar et al. An interactive Intensity- and Feature-Based Non-Rigid Registration Framework for 3D Medical Images. In Proc. of ISBI'06, 2006.
3. D.C. Alexander et al. Spatial Transformations of Diffusion Tensor Magnetic Resonance Images. IEEE TMI, 20(11):1131-1139, 2001.
4. D.K. Jones et al. Spatial normalization and Averaging of Diffusion Tensor MRI Data Sets. NeuroImage, 17:592-617, 2002.
5. I.J. LeGrice et al. Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog. Am J Physiol, 1995.
6. J.M. Peyrat et al. Towards a statistical atlas of cardiac fiber architecture. Research Report 5906, INRIA, May 2006.
7. M. Sermesant et al. Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging. Med. Image Anal., 5(9):467-80, October 2005.
8. P. Helm et al. Ex Vivo 3D Diffusion Tensor Imaging and Quantification of Cardiac Laminar Structure. Magn. Reson. Med., 54(4):850-859, 2005.
9. T. Arts et al. Relating Myocardial Laminar Architecture to Shear Strain and Muscle Fiber Orientation. Am J Physiol, 280:H2222-H2229, 2001.
10. V. Arsigny et al. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework. In Proc. of MICCAI'05, volume LNCS 3749, pages 115-122, 2005.
11. X. Pennec et al. A Riemannian Framework for Tensor Computing. IJCV, 2006.
12. Y. Cao et al. Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations. In Proc. of ICCV'05, pages 1379-1386, 2005.
13. P. Helm. A Novel Technique for Quantifying Variability of Cardiac Anatomy: Application to the Dyssynchronous Failing Heart. PhD thesis, JHU, 2005.
14. F. Sachse, editor. Computational Cardiology - Modeling of Anatomy, Electrophysiology, and Mechanics. LNCS. Springer, 2004.
15. D.F. Scollan. Reconstructing the Heart: Development and Application of Biophysically-based Electrical Models of Propagation in Ventricular Myocardium Reconstructed from Diffusion Tensor MRI. PhD thesis, JHU, 2002.
16. R. Sierra. Nonrigid Registration of Diffusion Tensor Images. Master's thesis, ETH Zurich, March 2001.
17. K. Turkowski. Graphics Gems, chapter Properties of Surface-Normal Transformations. Academic Press, Inc., 1990.