Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging

Kristóf Ralovich, Lucian Itu, Dime Vitanovski, Puneet Sharma, Razvan Ionasec, Viorel Mihalef, Waldemar Krawtschuk, Yefeng Zheng, Allen Everett, Giacomo Pongiglione, Benedetta Leonardi, Richard Ringel, Nassir Navab, Tobias Heimann, Dorin Comaniciu

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Coarctation of the aorta (CoA) is a congenital heart disease characterized by an abnormal narrowing of the proximal descending aorta. Severity of this pathology is quantified by the blood pressure drop (δP) across the stenotic coarctation lesion. In order to evaluate the physiological significance of the preoperative coarctation and to assess the postoperative results, the hemodynamic analysis is routinely performed by measuring the δP across the coarctation site via invasive cardiac catheterization. The focus of this work is to present an alternative, noninvasive measurement of blood pressure drop δP through the introduction of a fast, image-based workflow for personalized computational modeling of the CoA hemodynamics. Methods: The authors propose an end-to-end system comprised of shape and computational models, their personalization setup using MR imaging, and a fast, noninvasive method based on computational fluid dynamics (CFD) to estimate the pre- and postoperative hemodynamics for coarctation patients. A virtual treatment method is investigated to assess the predictive power of our approach. Results: Automatic thoracic aorta segmentation was applied on a population of 212 3D MR volumes, with mean symmetric point-to-mesh error of 3.00±}1.58 mm and average computation time of 8 s. Through quantitative evaluation of 6 CoA patients, good agreement between computed blood pressure drop and catheter measurements is shown: average differences are 2.38±}0.82 mm Hg (pre-), 1.10±}0.63 mm Hg (postoperative), and 4.99±}3.00 mm Hg (virtual stenting), respectively. Conclusions: The complete workflow is realized in a fast, mostly-automated system that is integrable in the clinical setting. To the best of our knowledge, this is the first time that three different settings (preoperativeseverity assessment, poststentingfollow-up, and virtual stenting treatment outcome prediction) of CoA are investigated on multiple subjects. We believe that in futuregiven wider clinical validationour noninvasive in-silico method could replace invasive pressure catheterization for CoA.

Original languageEnglish (US)
Pages (from-to)2143-2156
Number of pages14
JournalMedical physics
Issue number5
StatePublished - May 1 2015
Externally publishedYes


  • MRI
  • blood pressure drop
  • coarctation of aorta
  • computational fluid dynamics (CFD)
  • segmentation

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging'. Together they form a unique fingerprint.

Cite this