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Characterization of aortic remodeling following Kawasaki disease: Toward a fully developed automatic biparametric model
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10.1118/1.4752208
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    Affiliations:
    1 Centre de recherche, Centre Hospitalier de l’Université de Montréal (CRCHUM), Université de Montréal, Montréal, Québec H3C 3J7, Canada and Division of Pediatric Cardiology, Centre Hospitalier Universitaire Ste Justine (CHUSJ), Université de Montréal, Montréal, Québec H3T 1C5, Canada
    2 Division of Pediatric Cardiology, Centre Hospitalier Universitaire Ste Justine (CHUSJ), Université de Montréal, Montréal, Québec H3T 1C5, Canada and Centre de Recherche, Centre Hospitalier Universitaire Ste Justine (CRCHUSJ), Université de Montréal, Montréal, Québec H3T 1C5, Canada
    a) Author to whom correspondence should be addressed. Electronic mail: roch.maurice.hsj@ssss.gouv.qc.ca
    Med. Phys. 39, 6104 (2012); http://dx.doi.org/10.1118/1.4752208
/content/aapm/journal/medphys/39/10/10.1118/1.4752208
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Figures

Image of FIG. 1.
FIG. 1.

Visual illustration of the experimental setup. B-mode echocardiography video sequences were acquired in the left parasternal acoustic window at the second or third intercostal space. Images were focused on the ascending aorta at the point of intersection with the right pulmonary artery.

Image of FIG. 2.
FIG. 2.

Qualitative illustration of lateral motion artefact of the AA due to the heart movement. (a) B-mode image #n; (b) B-mode image #(n + 3). The red rectangle indicates the top wall ROI.

Image of FIG. 3.
FIG. 3.

Qualitative illustration of axial motion artefact of the AA due to the heart movement. (a) B-mode image #n; (b) B-mode image #(n + 3). The red rectangle indicates the top wall ROI.

Image of FIG. 4.
FIG. 4.

Simplified block-diagram illustrating the new implementation of OFBE as it was adapted to investigate post-KD ascending aorta remodeling. Without lost of generality, the notation in this illustration slightly differs from Eqs. (1) and (2). and here define B-mode images of a cine-loop, while = and = , respectively, represent pre- and postmotion measurement windows and = .

Image of FIG. 5.
FIG. 5.

Lateral and axial displacement values computed between each pair of n and (n + 3) images within a cine-loop suggesting the necessity for global companding.

Image of FIG. 6.
FIG. 6.

Mean axial displacement curve (T 2 curve) obtained for the top wall of a KD-subject.

Image of FIG. 7.
FIG. 7.

Individual data from KD subjects (triangles) versus healthy subjects (boxplot is interquartile range, with 2 standard deviation bars) depicting the ascending aorta displacement estimates.

Image of FIG. 8.
FIG. 8.

(a) Mean axial strain curve (Δ22 curve) obtained for the top wall of a KD-subject; (b) ROI [delineated in (a)] that was used to calculate .

Image of FIG. 9.
FIG. 9.

Individual data from KD subjects (triangles) versus healthy subjects (boxplot is interquartile range, with 2 standard deviation bars) depicting the ascending aorta strain estimates. Note that all KD individual date are ≤ 25th percentile.

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/content/aapm/journal/medphys/39/10/10.1118/1.4752208
2012-09-21
2014-04-21
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Characterization of aortic remodeling following Kawasaki disease: Toward a fully developed automatic biparametric model
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/39/10/10.1118/1.4752208
10.1118/1.4752208
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