A non-parametric statistical shape model for assessment of the surgically repaired aortic arch in coarctation of the aorta: How normal is abnormal?

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

Volumn 9534, Issue , 2016, Pages 21-29

  Bruse, Jan L ^a   McLeod, Kristin ^b   Biglino, Giovanni ^a   Ntsinjana, Hopewell N ^a   Capelli, Claudio ^a   Hsia, Tain Yen ^a,d   Sermesant, Maxime ^c   Pennec, Xavier ^c   Taylor, Andrew M ^a,d   Schievano, Silvia ^a,d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b SIMULA RESEARCH LABORATORY   (Norway)

^c INRIA   (France)

^d Modeling of Congenital Hearts Alliance (MOCHA) Group   (United Kingdom)

Author keywords

Aortic arch; Coarctation of the aorta; Mathematical currents; Non parametric statistical shape model; Partial least square regression

Indexed keywords

ARCHES; BLOOD VESSELS; COMPUTATION THEORY; COMPUTATIONAL METHODS; DIAGNOSIS; HEART; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

AORTIC ARCH; COARCTATION OF THE AORTA; PARTIAL LEAST SQUARE REGRESSION; PARTIAL LEAST SQUARES REGRESSION TECHNIQUES; SCREENING PROCEDURES; STATISTICAL SHAPE MODEL; STATISTICAL SHAPE MODELLING; SURGICAL INTERVENTIONS;

STATISTICS;

EID: 84955246386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-28712-6_3     Document Type: Conference Paper

References (12)

1. Brown, M.L., Burkhart, H.M., Connolly, H.M., Dearani, J.A., Cetta, F., Li, Z., Oliver, W.C., Warnes, C.A., Schaff, H.V.: Coarctation of the aorta: lifelong surveillance is mandatory following surgical repair. J. Am. Coll. Cardiol. 62, 1020–1025 (2013)
2. Ou, P., Bonnet, D., Auriacombe, L., Pedroni, E., Balleux, F., Sidi, D., Mousseaux, E.: Late systemic hypertension and aortic arch geometry after successful repair of coarctation of the aorta. Eur. Heart J. 25, 1853–1859 (2004)
3. Young, A.A., Frangi, A.F.: Computational cardiac atlases: from patient to population and back. Exp Physiol. 94, 578–596 (2009)
4. Vaillant, M., Glaunès, J.: Surface matching via currents. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, pp. 381–392. Springer, Heidelberg (2005)
5. Mansi, T., Voigt, I., Leonardi, B., Pennec, X., Durrleman, S., Sermesant, M., Delingette, H., Taylor, A.M., Boudjemline, Y., Pongiglione, G., Ayache, N.: A statistical model for quantification and prediction of cardiac remodelling: application to tetralogy of fallot. IEEE Trans. Med. Imaging. 30, 1605–1616 (2011)
6. Durrleman, S., Pennec, X., Trouvè, A., Ayache, N.: Statistical models of sets of curves and surfaces based on currents. Med. Image Anal. 13, 793–808 (2009)
7. Ntsinjana, H.N., Biglino, G., Capelli, C., Tann, O., Giardini, A., Derrick, G., Schievano, S., Taylor, A.M.: Aortic arch shape is not associated with hypertensive response to exercise in patients with repaired congenital heart diseases. J. Cardiovasc. Magn. Reson. 15, 101 (2013)
8. DuBois, D., DuBois, E.: The measurement of the surface area of man. Arch. Intern. Med. 15(5), 869–881 (1915)
9. Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A., Steinman, D.A.: An image-based modeling framework for patient-specific computational hemodynamics. Med. Biol. Eng. Comput. 46, 1097–1112 (2008)
10. Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992)
11. Tan, J.-L., Babu-Narayan, S.V., Henein, M.Y., Mullen, M., Li, W.: Doppler echocardiographic profile and indexes in the evaluation of aortic coarctation in patients before and after stenting. J. Am. Coll. Cardiol. 46, 1045–1053 (2005)
12. Singh, N., Thomas Fletcher, P., Samuel Preston, J., King, R.D., Marron, J.S., Weiner, M.W., Joshi, S.: Quantifying anatomical shape variations in neurological disorders. Med. Image Anal. 18, 616–633 (2014)