In vivo human 3D cardiac fibre architecture: Reconstruction using curvilinear interpolation of diffusion tensor images

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 418-425

  Toussaint, Nicolas ^a,b   Sermesant, Maxime ^a,b   Stoeck, Christian T ^c   Kozerke, Sebastian ^a,c   Batchelor, Philip G ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b INRIA   (France)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

2-D SLICE; 3D RECONSTRUCTION; BEATING HEART; CARDIAC MRI; CLINICAL APPLICATION; D-FIBRE; DIFFUSION TENSOR IMAGES; FIBRE STRUCTURE; FOLLOW UP; GAUSSIAN KERNELS; GOOD CORRELATIONS; HEALTHY SUBJECTS; IN-VIVO; IN-VIVO IMAGING; LEFT VENTRICULAR; LEFT VENTRICULAR MYOCARDIUMS; TENSOR COMPONENTS; TENSOR FIELDS;

ANISOTROPY; FIBERS; HEART; INTERPOLATION; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; THREE DIMENSIONAL;

TENSORS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; HEART VENTRICLE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; DIFFUSION MAGNETIC RESONANCE IMAGING; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883842704     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_51     Document Type: Conference Paper

References (17)

1. Dieudonne, J.M.: The left ventricle as confocal prolate spheroids. Bulletin of Mathematical Biology 31(3), 433-439 (1967)
2. Dou, J., Tseng, W.Y.I., Reese, T.G., Wedeen, V.J.: Combined diffusion and strain MRI reveals structure and function of human myocardial laminar sheets in vivo. Magnetic Resonance in Medicine 50, 107-113 (2003)
3. Dru, F., Vercauteren, T.: An ITK implementation of the symmetric log-domain diffeomorphic demons algorithm. Insight Journal -2009 January - June 2009 (May 2009)
4. Fillard, P., Arsigny, V., Pennec, X., Ayache, N.: Clinical DT-MRI estimation, smoothing and fiber tracking with log-Euclidean metrics. IEEE Transactions on Medical Imaging 26(11), 1472-1482 (2007); pMID: 18041263
5. Gamper, U., Boesiger, P., Kozerke, S.: Diffusion imaging of the in vivo heart using spin echoes - considerations on bulk motion sensitivity. Magnetic Resonance in Medicine 57, 331-337 (2007)
6. Garrido, L., Wedeen, V.J., Kwong, K.K., Spencer, U.M., Kantor, H.L.: Anisotropy of water diffusion in the myocardium of the rat. Circulation Research 74, 789-793 (1994)
7. Härdle, W.K., Marron, J.S.: Optimal bandwidth selection in nonparametric regression function estimation. Annals of Statistics 13(4), 1465-1481 (1985)
8. Kanai, A., Salama, G.: Optical mapping reveals that repolarization spreads anisotropically and is guided by fiber orientation in guinea pig hearts. Circulation Research 77, 784-802 (1995)
9. LeGrice, I.J., Takayama, Y., Covell, J.W.: The architecture of the heart: a databased model. Philosophical Transactions: Mathematical, Physical and Engineering Sciences 359, 1217-1232 (2001)
10. Mansi, T., Peyrat, J.M., Sermesant, M., Delingette, H., Blanc, J., Boudjemline, Y., Ayache, N.: Physically-constrained diffeomorphic demons for the estimation of 3d myocardium strain from cine-MRI. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 201-210. Springer, Heidelberg (2009)
11. Nielsen, P.M., Grice, I.J.L., Smaill, B.H., Hunter, P.J.: Mathematical model of geometry and fibrous structure of the heart. Am. J. Physiol. Heart Circ. Physiol. 260, 1365-1378 (1995)
12. Peyrat, J.M., Sermesant, M., Pennec, X., Hervé Delingette, C.X., McVeigh, E.R., Ayache, N.: A computational framework for the statistical analysis of cardiac diffusion tensors: Application to a small database of canine hearts. IEEE Transactions in Medical Imaging 25(5), 612-625 (2006)
13. Powell, M.J.D.: Developments of newuoa for minimization without derivatives. Journal of Numerical Analysis, 1-16 (February 2008)
14. Reese, T.G., Weisskoff, R.M., Smith, R.N., Rosen, B.R., Dinsmore, R.E., Wedeen, V.J.: Imaging myocardial fiber architecture in vivo with magnetic resonance. Magnetic Resonance in Medicine 34, 786-791 (1995)
15. Rohmer, D., Gullberg, G.T.: A bloch-torrey equation for diffusion in a deforming media. Tech. rep., University of California (2006)
16. Sutton, M.G.S.J., Sharpe, N.: Left ventricular remodeling after myocardial infarction. Circulation: Cardiovascular Imaging 101, 2981-2988 (2000)
17. Tseng, W.Y.I., Wedeen, V.J., Reese, T.G., Smith, R.N., Halpern, E.F.: Diffusion tensor MRI of myocardial fibers and sheets: Correspondence with visible cut-face texture. Magnetic Resonance in Medicine 42, 17-31 (2003)