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Proceedings Paper

Semi-quantitative assessment of pulmonary perfusion in children using dynamic contrast-enhanced MRI
Author(s): Catalin Fetita; William E. Thong; Phalla Ou
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Paper Abstract

This paper addresses the study of semi-quantitative assessment of pulmonary perfusion acquired from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in a study population mainly composed of children with pulmonary malformations. The automatic analysis approach proposed is based on the indicator-dilution theory introduced in 1954. First, a robust method is developed to segment the pulmonary artery and the lungs from anatomical MRI data, exploiting 2D and 3D mathematical morphology operators. Second, the time-dependent contrast signal of the lung regions is deconvolved by the arterial input function for the assessment of the local hemodynamic system parameters, ie. mean transit time, pulmonary blood volume and pulmonary blood flow. The discrete deconvolution method implements here a truncated singular value decomposition (tSVD) method. Parametric images for the entire lungs are generated as additional elements for diagnosis and quantitative follow-up. The preliminary results attest the feasibility of perfusion quantification in pulmonary DCE-MRI and open an interesting alternative to scintigraphy for this type of evaluation, to be considered at least as a preliminary decision in the diagnostic due to the large availability of the technique and to the non-invasive aspects.

Paper Details

Date Published: 18 March 2013
PDF: 15 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 867033 (18 March 2013); doi: 10.1117/12.2007920
Show Author Affiliations
Catalin Fetita, TELECOM & Management SudParis (France)
MAP5, CNRS (France)
William E. Thong, MAP5, CNRS (France)
Ecole Polytechnique de Montréal (Canada)
Phalla Ou, MAP5, CNRS (France)
Hôpitaux Necker-Enfants Malades (France)

Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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