Abstract
The ventricular myocardium has a structure of branching laminae through which course regularly orientated fibers, an architecture important in excitation and contraction. DT-MRI is used to measure the fiber and laminar orientations. We quantify the performance of DT-MRI and structure tensor (ST) analysis of 3D high resolution MRI in five rat hearts and validate these against manual measurements. The ST and DT data are more similar for measures of the fiber orientation than laminar orientation. The average angle differences of elevation angles are 2.3±27.2˚, R = 0.57 for the fiber, 3.62±36.2˚, R = 0.24 for the laminae and 10.7±37.9˚, R = 0.32 for the laminae normal. The difference between DT and manually measured laminar orientation is 17±15˚ for DT and 5±10˚ for ST. DT and ST are comparable measures of the fiber orientation but ST is a better measure of myolaminar orientation.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
References
Costa, K.D., Takayama, Y., McCulloch, A.D., Covell, J.W.: Laminar fiber architecture and three-dimensional systolic mechanics in canine ventricular myocardium. Am. J. Physiol. 276, H595–H607 (1999)
Arisi, G., Macchi, E., Baruffi, S., Spaggiari, S., Taccardi, B.: Potential fields on the ventricular surface of the exposed dog heart during normal excitation. Circ. Res. 52, 706–715 (1983)
Hooks, D.A., Trew, M.L., Caldwell, B.J., Sands, G.B., LeGrice, I.J., Smaill, B.H.: Laminar arrangement of ventricular myocytes influences electrical behavior of the heart. Circ. Res. 101, 103–112 (2007)
Sermesant, M., Chabiniok, R., Chinchapatnam, P., Mansi, T., Billet, F., Moireau, P., Peyrat, J.M., Wong, K., Relan, J., Rhode, K., Ginks, M., Lambiase, P., Delingette, H., Sorine, M., Rinaldi, C.A., Chapelle, D., Razavi, R., Ayache, N.: Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: a preliminary clinical validation. Med. Image. Anal. 16, 201–215 (2012)
Sands, G.B., Gerneke, D.A., Hooks, D.A., Green, C.R., Smaill, B.H., LeGrice, I.J.: Automated imaging of extended tissue volumes using confocal microscopy. Microsc. Res. Tech. 67, 227–239 (2005)
Smith, R.M., Matiukas, A., Zemlin, C.W., Pertsov, A.M.: Nondestructive optical determination of fiber organization in intact myocardial wall. Microsc. Res. Tech. 71, 510–516 (2008)
Jiang, Y., Pandya, K., Smithies, O., Hsu, E.W.: Three-dimensional diffusion tensor microscopy of fixed mouse hearts. Magn. Reson. Med. 52, 453–460 (2004)
Kung, G.L., Nguyen, T.C., Itoh, A., Skare, S., Ingels Jr., N.B., Miller, D.C., Ennis, D.B.: The presence of two local myocardial sheet populations confirmed by diffusion tensor MRI and histological validation. J. Magn. Reson. Imaging 34, 1080–1091 (2011)
Hsu, E.W., Buckley, D.L., Bui, J.D., Blackband, S.J., Forder, J.R.: Two-component diffusion tensor MRI of isolated perfused hearts. Magn. Reson. Med. 45, 1039–1045 (2001)
Köhler, S., Hiller, K.H., Waller, C., Jakob, P.M., Bauer, W.R., Haase, A.: Visualization of myocardial microstructure using high-resolution T*2 imaging at high magnetic field. Magn. Reson. Med. 49, 371–375 (2003)
Gilbert, S.H., Benoist, D., Benson, A.P., White, E., Tanner, S.F., Holden, A.V., Dobrzynski, H., Bernus, O., Radjenovic, A.: Visualization and quantification of whole rat heart laminar structure using high-spatial resolution contrast-enhanced MRI. Am. J. Physiol. Heart. Circ. Physiol. 302, H287–H298 (2012)
Jähne, B.: Digital image processing, 6th edn. Springer, The Netherlands (2005)
Farid, H., Simoncelli, E.P.: Differentiation of discrete multidimensional signals. IEEE Trans. Image Process. 13, 496–508 (2004)
Benson, A.P., Gilbert, S.H., Li, P., Newton, S.M., Holden, A.V.: Reconstruction and Quantification of Diffusion Tensor Imaging-Derived Cardiac Fibre and Sheet Structure in Ventricular Regions used in Studies of Excitation Propagation. Math. Model. Nat. Pheno. 3, 101–130 (2008)
Burton, R.A., Plank, G., Schneider, J.E., Grau, V., Ahammer, H., Keeling, S.L., Lee, J., Smith, N.P., Gavaghan, D., Trayanova, N., Kohl, P.: Three-dimensional models of individual cardiac histoanatomy: tools and challenges. Ann. N. Y. Acad. Sci. 080, 301–319 (2006)
Scollan, D.F., Holmes, A., Winslow, R., Forder, J.: Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging. Am. J. Physiol. 275, H2308–H2318 (1998)
Tseng, W.Y., 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. J. Magn. Reson. Imaging 17, 31–42 (2003)
Lebel, C., Benner, T., Beaulieu, C.: Six is enough? Comparison of diffusion parameters measured using six or more diffusion-encoding gradient directions with deterministic tractography. Magn. Reson. Med. (2011) (in press)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gilbert, S., Trew, M., Smaill, B., Radjenovic, A., Bernus, O. (2013). Measurement of Myocardial Structure: 3D Structure Tensor Analysis of High Resolution MRI Quantitatively Compared to DT-MRI. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2012. Lecture Notes in Computer Science, vol 7746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-36961-2_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36960-5
Online ISBN: 978-3-642-36961-2
eBook Packages: Computer ScienceComputer Science (R0)