Literature DB >> 7722346

A new method for automatic identification of coronary arteries in standard biplane angiograms.

Y Yanagihara1, T Hashimoto, T Sugahara, N Sugimoto.   

Abstract

A new computerized method for analyzing biplane coronary arteriograms was proposed. The method extracted the vessels in an image, detected branching points, and identified vessel segments according to their anatomical names. The method was applied to a pair of orthogonal projection images acquired in the right anterior oblique and left anterior oblique views. It recognized the corresponding vessel segments in the images and labeled them correctly by their anatomical names. For diameter measurement, a combined first and second derivative filter process was applied to the images along the skeleton lines of the extracted vessel segments. We also designed a method of representation in which vessel diameters measured in the two projection images could be displayed in a single image.

Mesh:

Year:  1994        PMID: 7722346     DOI: 10.1007/bf01137716

Source DB:  PubMed          Journal:  Int J Card Imaging        ISSN: 0167-9899


  12 in total

1.  Observer agreement in evaluating coronary angiograms.

Authors:  K M Detre; E Wright; M L Murphy; T Takaro
Journal:  Circulation       Date:  1975-12       Impact factor: 29.690

2.  An expert system for the labeling and 3D reconstruction of the coronary arteries from two projections.

Authors:  C Smets; F van de Werf; P Suetens; A Oosterlinck
Journal:  Int J Card Imaging       Date:  1990

3.  Computer-aided interpretation of coronary cineangiograms. Accuracy of automatic detection of stenotic lesions.

Authors:  T Sugahara; Y Yamagihara; N Sugimoto; K Kimura; K Awano; T Azumi
Journal:  Acta Radiol       Date:  1992-01       Impact factor: 1.990

4.  Coronary artery dimensions from cineangiograms methodology and validation of a computer-assisted analysis procedure.

Authors:  J H Reiber; C J Kooijman; C J Slager; J J Gerbrands; J C Schuurbiers; A Den Boer; W Wijns; P W Serruys; P G Hugenholtz
Journal:  IEEE Trans Med Imaging       Date:  1984       Impact factor: 10.048

5.  Automated identification of vessel contours in coronary arteriograms by an adaptive tracking algorithm.

Authors:  Y Sun
Journal:  IEEE Trans Med Imaging       Date:  1989       Impact factor: 10.048

6.  ANGY: A Rule-Based Expert System for Automatic Segmentation of Coronary Vessels From Digital Subtracted Angiograms.

Authors:  S A Stansfield
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-02       Impact factor: 6.226

7.  Assessment of coronary angioplasty: comparison of visual assessment, hand-held caliper measurement and automated digital quantitation.

Authors:  D Katritsis; D A Lythall; I C Cooper; A Crowther; M M Webb-Peploe
Journal:  Cathet Cardiovasc Diagn       Date:  1988

8.  Algorithm effects on computerized vessel analysis from digitized cine film and a new method of generating the centerline of a vessel.

Authors:  Y Yanagihara; T Sugahara
Journal:  Int J Card Imaging       Date:  1994-03

9.  Computer assessment of hemodynamic severity of coronary artery stenosis from angiograms.

Authors:  M Siebes; D Z D'Argenio; R H Selzer
Journal:  Comput Methods Programs Biomed       Date:  1985-11       Impact factor: 5.428

10.  Visual interpretation compared with caliper and computerized measurements in experimental vessel stenosis.

Authors:  Y Yanagihara; T Sugahara; Y Fukunishi
Journal:  Acta Radiol       Date:  1992-11       Impact factor: 1.990

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  1 in total

1.  Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms.

Authors:  Ali Zifan; Panos Liatsis
Journal:  Comput Math Methods Med       Date:  2016-06-15       Impact factor: 2.238

  1 in total

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