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Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9126))

Abstract

A model of cardiac microstructure and diffusion MRI is presented. The results show a good correspondence between the simulated and experimental measurements. A sensitivity analysis shows that the diffusivity has the greatest effect on both the apparent diffusion coefficient and the fractional anisotropy. The cross-sectional area of the cells is the next most important factor; the aspect ratio of the cell cross-section also affects the fractional anisotropy. Neither the cell length nor the volume fraction of cells has a marked effect.

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References

  1. Waldman, L.K., Nosan, D., Villarreal, F., Covell, J.W.: Relation between transmural deformation and local myofiber direction in canine left ventricle. Circ. Res. 63(3), 550–562 (1988)

    Article  Google Scholar 

  2. Kanai, A., Salama, G.: Optical mapping reveals that repolarization spreads anisotropically and is guided by fiber orientation in guinea pig hearts. Circ. Res. 77(4), 784–802 (1995)

    Article  Google Scholar 

  3. Maron, B.: Contemporary insights and strategies for risk stratification and prevention of sudden death in hypertrophic cardiomyopathy. Circulation 121(3), 445 (2010)

    Article  Google Scholar 

  4. Wu, M.T., Tseng, W.Y.I., Su, M.Y.M., Liu, C.P., Chiou, K.R., Wedeen, V.J., Reese, T.G., Yang, C.F.: Diffusion tensor magnetic resonance imaging mapping the fiber architecture remodeling in human myocardium after infarction: Correlation with viability and wall motion. Circulation 114(10), 1036–45 (2006)

    Article  Google Scholar 

  5. Stejskal, E., Tanner, J.: Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. J. Chem. Phys. 42(1), 288–292 (1965)

    Article  Google Scholar 

  6. Basser, P., Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative diffusion tensor MRI. J. Mag. Res. B 111(3), 209 (1996)

    Article  Google Scholar 

  7. Hall, M., Alexander, D.: Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI. IEEE Trans. Med. Imag. 28(9), 1354 (2009)

    Article  Google Scholar 

  8. Wang, L., Zhu, Y.-M., Li, H., Liu, W., Magnin, I.E.: Simulation of diffusion anisotropy in DTI for virtual cardiac fiber structure. In: Metaxas, D.N., Axel, L. (eds.) FIMH 2011. LNCS, vol. 6666, pp. 95–104. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  9. Morris, M.: Factorial sampling plans for preliminary computational experiments. Technometrics 33(2), 161–174 (1991)

    Article  Google Scholar 

  10. Campolongo, F., Cariboni, J., Saltelli, A.: An effective screening design for sensitivity analysis of large models. Environ. Modell. Softw. 22(10), 1509–1518 (2007)

    Article  Google Scholar 

  11. Andrews, S.S., Addy, N.J., Brent, R., Arkin, A.P.: Detailed simulations of cell biology with Smoldyn 2.1. PLOS Comp. Biol. 6(3), e1000705 (2010)

    Article  Google Scholar 

  12. Satoh, H., Delbridge, L.M., Blatter, L.A., Bers, D.M.: Surface:volume relationship in cardiac myocytes studied with confocal microscopy and membrane capacitance measurements: species-dependence and developmental effects. Biophys. J. 70(3), 1494–1504 (1996)

    Article  Google Scholar 

  13. Chen, Y.-F., Redetzke, R.A., Sivertson, R.M., Coburn, T.S., Cypher, L.R., Gerdes, A.M.: Post-myocardial infarction left ventricular myocyte remodeling: are there gender differences in rats? Cardiovasc. Path. 20(5), e189–e195 (2011)

    Article  Google Scholar 

  14. Anversa, P., Ricci, R., Olivetti, G.: Quantitative structural analysis of the myocardium during physiologic growth and induced cardiac hypertrophy: a review. J. Am. Coll. Cardiol. 7(5), 1140–1149 (1986)

    Article  Google Scholar 

  15. McAdams, R.M., McPherson, R.J., Dabestani, N.M., Gleason, C.A., Juul, S.E.: Left ventricular hypertrophy is prevalent in sprague-dawley rats. Comp. Med. 60(5), 357–363 (2010)

    Google Scholar 

  16. Hales, P.W., Schneider, J.E., Burton, R.A.B., Wright, B.J., Bollensdorff, C., Kohl, P.: Histo-anatomical structure of the living isolated rat heart in two contraction states assessed by diffusion tensor MRI. Prog. Biophys. Mol. Biol. 110(2–3), 319 (2012)

    Article  Google Scholar 

  17. Joint research centre: Institute for the protection and security of the citizen (2014). http://ipsc.jrc.ec.europa.eu/?id=756

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Acknowledgements

This work is supported by a BBSRC grant (BB/I012117/1), an EPSRC grant (EP/J013250/1) and by funding from the British Heart Foundation (BHF) Centre for Research Excellence. JES and PK are BHF Senior Basic Science Research Fellows (FS/11/50/29038; FS/12/17/29532). VG and PK are supported by BHF New Horizon Grant NH/13/30238. PK holds an ERC Advanced Grant (CardioNect). The authors acknowledge a Wellcome Trust Core Award (090532/Z/09/Z).

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Correspondence to Joanne Bates .

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Bates, J., Teh, I., Kohl, P., Schneider, J.E., Grau, V. (2015). Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-20309-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20308-9

  • Online ISBN: 978-3-319-20309-6

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