Hemodynamic assessment of pre- and post-operative aortic coarctation from MRI

Kristóf Ralovich, Lucian Itu, Viorel Mihalef, Puneet Sharma, Razvan Ionasec, Dime Vitanovski, Waldemar Krawtschuk, Allen Everett, Richard Ringel, Nassir Navab, Dorin Comaniciu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Coarctation of the aorta (CoA), is a congenital defect characterized by a severe narrowing of the aorta, usually distal to the aortic arch. The treatment options include surgical repair, stent implantation, and balloon angioplasty. In order to evaluate the physiological significance of the pre-operative coarctation and to assess the post-operative results, the hemodynamic analysis is usually performed by measuring the pressure gradient (ΔP) across the coarctation site via invasive cardiac catheterization. The measure of success is reduction of the (ΔP >20mmHg) systolic blood pressure gradient. In this paper, we propose a non-invasive method based on Computational Fluid Dynamics and MR imaging to estimate the pre- and post-operative hemodynamics for both native and recurrent coarctation patients. High correlation of our results and catheter measurements is shown on corresponding preand post-operative examination of 5 CoA patients.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsBjoern H. Menze, Bjoern H. Menze, Zhuowen Tu, Georg Langs, Georg Langs, Nicholas Ayache, Hervé Delingette, Antonio Criminisi, Le Lu, Albert Montillo, Polina Golland, Kensaku Mori
PublisherSpringer Verlag
Pages486-493
Number of pages8
ISBN (Print)9783642334177
DOIs
StatePublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 5 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
CountryFrance
CityNice
Period10/5/1210/5/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Ralovich, K., Itu, L., Mihalef, V., Sharma, P., Ionasec, R., Vitanovski, D., Krawtschuk, W., Everett, A., Ringel, R., Navab, N., & Comaniciu, D. (2012). Hemodynamic assessment of pre- and post-operative aortic coarctation from MRI. In B. H. Menze, B. H. Menze, Z. Tu, G. Langs, G. Langs, N. Ayache, H. Delingette, A. Criminisi, L. Lu, A. Montillo, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings (pp. 486-493). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7511 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33418-4_60