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  • 1
    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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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    The international journal of cardiovascular imaging 15 (1999), S. 495-512 
    ISSN: 1573-0743
    Keywords: biplane angiography ; intravascular ultrasound ; 3D visualization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract The technology for determination of the 3D vascular tree and quantitative characterization of the vessel lumen and vessel wall has become available. With this technology, cardiologists will no longer rely primarily on visual inspection of coronary angiograms but use sophisticated modeling techniques combining images from various modalities for the evaluation of coronary artery disease and the effects of treatment. Techniques have been developed which allow the calculation of the imaging geometry and the 3D position of the vessel centerlines of the vascular tree from biplane views without a calibration object, i.e., from the images themselves, removing the awkwardness of moving the patient to obtain 3D information. With the geometry and positional information, techniques for reconstructing the vessel lumen can now be applied that provide more accurate estimates of the area and shape of the vessel lumen. In conjunction with these developments, techniques have been developed for combining information from intravascular ultrasound images with the information obtained from angiography. The combination of these technologies will yield a more comprehensive characterization and understanding of coronary artery disease and should lead to improved and perhaps less invasive patient care.
    Type of Medium: Electronic Resource
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  • 3
    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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  • 4
    Title: Medical image processing and analysis; Vol. 2
    Contributer: Sonka, Milan , Fitzpatrick, J. Michael
    Publisher: Belllingham, Washington :SPIE Press,
    Year of publication: 2000
    Pages: 1218 S.
    Series Statement: Handbook of medical imaging Vol. 2
    Type of Medium: Book
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  • 5
    Title: Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004 ; revised selected papers; 3117
    Contributer: Sonka, Milan , ECCV 〈8, 2004, Praha〉 , CVAMIA 〈2004, Praha〉 , MMBIA 〈2004, Praha〉
    Publisher: Berlin u.a. :Springer,
    Year of publication: 2004
    Pages: XII, 438 S. : , Ill., graph. Darst.
    Series Statement: Lecture notes in computer science 3117
    ISBN: 3-540-22675-3
    Type of Medium: Book
    Language: English
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