Abstract
We propose a novel technique for the localisation of Left Ventricular (LV) scar based on local motion descriptors. Cardiac MR imaging is employed to construct a spatio-temporal motion atlas where the LV motion of different subjects can be directly compared. Local motion descriptors are derived from the motion atlas and dictionary learning is used for scar classification. Preliminary results on a cohort of 20 patients show a sensitivity and specificity of \(80\,\%\) and \(87\,\%\) in a binary classification setting.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Data were acquired from different projects and cannot be made publicly available due to lack of ethical approval or patient consent on data sharing.
References
Bilchick, K.C., Kuruvilla, S., Hamirani, Y.S., Ramachandran, R., Clarke, S.A., Parker, K.M., Stukenborg, G.J., Mason, P., Ferguson, J.D., Moorman, J.R., Malhotra, R., Mangrum, J.M., Darby, A.E., DiMarco, J., Holmes, J.W., Salerno, M., Kramer, C.M., Epstein, F.H.: Impact of mechanical activation, scar, and electrical timing on cardiac resynchronization therapy response and clinical outcomes. J. Am. Coll. Cardiol. 63(16), 1657–1666 (2014)
Cerqueira, M.D., Weissman, N.J., Dilsizian, V., Jacobs, A.K., Kaul, S., Laskey, W.K., Pennell, D.J., Rumberger, J.A., Ryan, T., Verani, M.S.: Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. Circulation 105(4), 539–542 (2002)
Chandrashekara, R., Rao, A., Sanchez-Ortiz, G.I., Mohiaddin, R.H., Rueckert, D.: Construction of a statistical model for cardiac motion analysis using nonrigid image registration. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 599–610. Springer, Heidelberg (2003)
De Craene, M., Duchateau, N., Tobon-Gomez, C., Ghafaryasl, B., Piella, G., Rhode, K.S., Frange, A.: SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification. In: Proc. of IEEE ISBI, pp. 454–457 (2012)
Guha, T., Ward, R.: Learning sparse representations for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(8), 1576–1588 (2012)
Hoogendoorn, C., Duchateau, N., Sanchez-Quintana, D., Whitmarsh, T., Sukno, F., De Craene, M., Lekadir, K., Frangi, A.: A high-resolution atlas and statistical model of the human heart from multislice CT. IEEE Trans. Med. Imaging 32(1), 28–44 (2013)
Maret, E., Todt, T., Brudin, L., Nylander, E., Swahn, E., Ohlsson, J., Engvall, J.: Functional measurements based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar. Cardiovasc. Ultrasound 7(1), 53 (2009)
Medrano-Gracia, P., Suinesiaputra, A., Cowan, B., Bluemke, D., Frangi, A., Lee, D., Lima, J., Young, A.: An atlas for cardiac MRI regional wall motion and infarct scoring. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2012. LNCS, vol. 7746, pp. 188–197. Springer, Heidelberg (2013)
Rao, A., Chandrashekara, R., Sanchez-Ortiz, G., Mohiaddin, R., Aljabar, P., Hajnal, J., Puri, B.K., Rueckert, D.: Spatial transformation of motion and deformation fields using nonrigid registration. IEEE Trans. Med. Imaging 23(9), 1065–1076 (2004)
Shan, K., Constantine, G., Sivananthan, M., Flamm, S.D.: Role of cardiac magnetic resonance imaging in the assessment of myocardial viability. Circulation 109(11), 1328–1334 (2004)
Shi, W., Zhuang, X., Wang, H., Duckett, S., Luong, D., Tobon-Gomez, C., Tung, K., Edwards, P., Rhode, K., Razavi, R., Ourselin, S., Rueckert, D.: A comprehensive cardiac motion estimation framework using both untagged and 3-D tagged MR images based on nonrigid registration. IEEE Trans. Med. Imaging 31(6), 1263–1275 (2012)
Shi, W., Jantsch, M., Aljabar, P., Pizarro, L., Bai, W., Wang, H., O’Regan, D., Zhuang, X., Rueckert, D.: Temporal sparse free-form deformations. Med. Image Anal. 17(7), 779–789 (2013)
Acknowledgements
This work was funded by EPSRC Grants EP/K030310/1 and EP/K030523/1. We acknowledge financial support from the Department of Health via the NIHR comprehensive Biomedical Research Centre award to Guy’s & St Thomas’ NHS Foundation Trust with KCL and King’s College Hospital NHS Foundation Trust.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Peressutti, D. et al. (2016). Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. 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 2015. Lecture Notes in Computer Science(), vol 9534. Springer, Cham. https://doi.org/10.1007/978-3-319-28712-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-28712-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28711-9
Online ISBN: 978-3-319-28712-6
eBook Packages: Computer ScienceComputer Science (R0)