Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle
Cardiac remodelling, which refers to the change of the shape and size of the myocardium, is an adaptive response to developmental, disease and surgical processes. Traditional metrics of length, volume, aspect ratio or wall thickness are used in the clinic and in medical research, but have limited capabilities to describe complex structures such as the shape of cardiac ventricles. In this work we present an example of how computational analysis of cardiac anatomy can reveal more detailed description of developmental and remodelling patterns. The clinical problem is the analysis of the impact of two different surgical palliation techniques for hypoplastic left heart syndrome. Construction of a computational atlas and the statistical description of its variability are performed from the short axis stack of 128 subjects. Results unveil, for the first time in the literature, the differences in remodelling of the systemic right ventricle depending on the surgical palliation technique.
KeywordsComputational anatomy Statistical shape analysis Systemic right ventricle Discriminative analysis
This study has received funding by the Department of Health through the NIHR comprehensive Biomedical Research Centre award to Guy’s & St Thomas’ NHS Foundation Trust in partnership with King’s College London and King’s College Hospital NHS Foundation Trust, the Centre of Excellence in Medical Engineering (funded by the Wellcome Trust and EPSRC; grant number WT 088641/Z/09/Z) as well as the BHF Centre of Excellence (British Heart Foundation award RE/08/03). PL holds a Sir Henry Dale Fellowship funded jointly by the Wellcome Trust and the Royal Society (grant no. 099973/Z/12/Z).
- 1.Bellsham-Revell, H.R., Tibby, S.M., Bell, A.J., Witter, T., Simpson, J., Beerbaum, P., Anderson, D., Austin, C.B., Greil, G.F., Razavi, R.: Serial magnetic resonance imaging in hypoplastic left Heart syndrome gives valuable insight into ventricular and vascular adaptation. J. Am. Coll. Cardiol. 61(5), 561–570 (2013)CrossRefGoogle Scholar
- 4.Fratz, S., Chung, T., Greil, G.F., Samyn, M.M., Taylor, A.M., Valsangiacomo Buechel, E.R., Yoo, S.-J., Powell, A.J.: Guidelines and protocols for cardiovascular magnetic resonance in Children and Adults with congenital heart disease: SCMR expert consensus group on congenital Heart disease. J. Cardiovasc. Magn. Reson. 15(1), 51 (2013)CrossRefGoogle Scholar
- 5.Frommelt, P.C., Gerstenberger, E., Cnota, J.F., Cohen, M.S., Gorentz, J., Hill, K.D., et al.: Impact of initial shunt type on cardiac size and function in children with single right ventricle anomalies before the Fontan procedure: the single ventricle reconstruction extension trial. J. Am. Coll. Cardiol. 64(19), 2026–2035 (2014)CrossRefGoogle Scholar
- 6.Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press, San Diego (2013)Google Scholar
- 10.Lewandowski, A.J., Augustine, D., Lamata, P., Davis, E.F., Lazdam, M., Francis, J., McCormick, K., et al.: Preterm Heart in adult life: cardiovascular magnetic resonance reveals distinct differences in left ventricular mass, geometry, and function. Circulation 127(2), 197–206 (2013)CrossRefGoogle Scholar
- 13.Styner, M., Oguz, I., Xu, S., Pantazis, D., Gerig, G.: Statistical group differences in anatomical shape analysis using Hotelling T2 metric. In: Medical Imaging, International Society for Optics and Photonics, vol. 6512 (2007)Google Scholar
- 16.Woolson, R.F., Clarke, W.R.: Statistical Methods for the Analysis of Biomedical Data. Wiley, New Jersey (2011)Google Scholar