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Proceedings Paper

High-resolution image digitizing camera for use in quantitative coronary arteriography
Author(s): Markus H. Muser; Thomas Leemann; M. Anliker
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Paper Abstract

Image processing in biomedical applications such as the analysis of electrophoresis gels, digital microscopic imaging or the computer-assisted quantitative analysis of angiographic images recorded on 35 mm cinefilm quantitative coronary arteriography (QCA) can be improved substantially if the conventional TV-based image digitizers are replaced by devices offering a higher geometric resolution and an increased dynamic range. Before high resolution two-dimensional CCD Sensors were introduced a few years ago, these improvements could only be implemented cost-effectively by using scanning devices such as the digital camera developed earlier at the Institute for Biomedical Engineering in Zurich, Switzerland. This camera, based on a 2048-element CCD line array, offers a geometrical resolution of up to 2048 X 3000 pixel and a dynamic range of up to 12 bit. It is being used in the QCA system developed jointly by the Institute for Biomedical Engineering in Zurich, Switzerland and the University of Texas Health Science Center in Houston, Texas, U.S.A. Clinical evaluation of this system as well as an analysis of the technical properties of the X-Ray systems involved indicate that coronary arteriograms can be digitized with a resolution of about 1024 X 1024 pixel without sacrificing measurement accuracy. This fact reduces computational effort and suggests the use of two-dimensional CCD sensors. Therefore, a new digitizing camera based on a KAF1400 (Kodak) full frame sensor suitable for the QCA system has been developed. Its design concept and performance are discussed in the paper.

Paper Details

Date Published: 1 June 1991
PDF: 7 pages
Proc. SPIE 1448, Camera and Input Scanner Systems, (1 June 1991); doi: 10.1117/12.45349
Show Author Affiliations
Markus H. Muser, Institute for Biomedical Engineering/ETH Zurich (Switzerland)
Thomas Leemann, Institute for Biomedical Engineering/ETH Zurich (Switzerland)
M. Anliker, Institute for Biomedical Engineering/ETH Zurich (Switzerland)


Published in SPIE Proceedings Vol. 1448:
Camera and Input Scanner Systems
Winchyi Chang; James R. Milch, Editor(s)

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