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  • 1
    ISSN: 1432-198X
    Keywords: Vasculitis ; Wegener's granulomatosis ; Microscopic polyarteritis ; Necrotizing glomerulonephritis ; Anti-nuclear cytoplasmic autoantibody (ANCA) ; ANCA-associated glomerulonephritis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract We report a case of pauci-immune, necrotizing and crescentic glomerulonephritis in a 10-year-old child initially thought to have Henoch-Schönlein purpura. The diagnosis of a Wegener's granulomatosis-microscopic polyarteritis disorder was made on the basis of clinical presentation and a positive anti-neutrophil cytoplasmic auto-antibody (ANCA). This case illustrates the usefulness of the ANCA in the diagnosis and management of childhood vasculitides.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-198X
    Keywords: Key words Costello syndrome ; Hypercalciuria ; Urolithiasis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  Costello syndrome is characterized by postnatal growth deficiency, mental retardation, curly hair, coarse characteristic face, and loose skin of hands and feet. Patients with this syndrome have a high incidence of cardiac involvement, including arrhythmia, atrial septal defect, and hypertrophic cardiomyopathy. We report a 16-year-old adolescent female with Costello syndrome who presents with hypercalciuria and urolithiasis.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-0743
    Keywords: coronary arteries ; 3-D reconstruction ; data fusion ; biplane angiography ; intravascular ultrasound ; pullback imaging ; catheter twist
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract At present, 3-D reconstructions of coronary vessels are generated from intravascular ultrasound (IVUS) by stacking up ECG-gated segmented IVUS frames of a pullback sequence. This simplified approach always results in straight vessel reconstructions and, therefore, gives an incorrect representation of tortuous coronary arteries. A more realistic reconstruction of tortuous vessels may be obtained by data fusion with biplane angiography. The 3-D course of the vessel is first derived from the angiograms and then combined with the segmented IVUS images. In this paper, we focus on two problems associated with the data fusion method: The definition of the pullback path and the estimation of the IVUS catheter twist during pullback. A robust algorithm for calculation of tortuosity-induced catheter twist is reported that is based on sequential triangulation of the 3-D pullback path. The method is analyzed with computer simulations and validated in helical vessel phantoms. A largely automated data fusion approach is proposed and applied to tortuous coronary arteries in cadaveric pig hearts.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    The international journal of cardiovascular imaging 14 (1998), S. 397-411 
    ISSN: 1573-0743
    Keywords: border detection ; left ventricle ; image segmentation ; intracardiac echocardiography
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract A semi-automated method for two- and three-dimensional analysis of intracardiac echocardiography (ICE) images and image sequences is reported based on detection of epicardial and endocardial borders using graph searching. The border detection method was applied to 50 ICE images acquired in vivo in five dogs and to 108 images in 16 volumetric ICE image sequences from eight cadaveric pig hearts. The ICE images from the in vivo study showed good correlation between computer-detected and observer-defined left ventricular (LV) cavity areas and epicardial areas (r=0.99, y=0.98x+0.43[cm2]; r=0.99, y=0.98x+1.11[cm2]; respectively). In the cadaveric hearts, the LV volumes were determined with the volume measurement error of 7.6±7.7% and 11.3±11.2% for the aortic valve and mitral valve image sequences, respectively. Our method facilitates an accurate and computationally efficient approach for the quantitative assessment of ICE image data in 2D and 3D.
    Type of Medium: Electronic Resource
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