Literature DB >> 8130592

Description and representation of segmented renal arteries from angiograms.

M C Jaulent1, J F Paul, P Boittin, P Degoulet.   

Abstract

This paper presents the first prototype of a system that uses syntactic techniques to describe normal and abnormal aspects of segmented renal arteries from angiographic images. The system is one part of a full understanding system devoted to the interpretation of angiograms. Its purpose is to provide symbolic descriptions of lesions that can further contribute to an accurate diagnosis from the image. The prototype consists of a modular system that takes artery outlines as input and provides a structural description of the artery as output in the framework of a precise quantification scheme. Each module yields heuristic parameters that influence the resulting description. The system is intended to be a tool to study independently the role of these different parameters in the inter and intra observer variability.

Mesh:

Year:  1993        PMID: 8130592      PMCID: PMC2850683     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  5 in total

1.  Three-dimensional quantitative coronary angiography.

Authors:  T Saito; M Misaki; K Shirato; T Takishima
Journal:  IEEE Trans Biomed Eng       Date:  1990-08       Impact factor: 4.538

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Authors:  T Sandor; A D'Adamo; W B Hanlon; J Spears
Journal:  IEEE Trans Med Imaging       Date:  1987       Impact factor: 10.048

3.  A knowledge-based approach for 3-D reconstruction and labeling of vascular networks from biplane angiographic projections.

Authors:  M Garreau; J L Coatrieux; R Collorec; C Chardenon
Journal:  IEEE Trans Med Imaging       Date:  1991       Impact factor: 10.048

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

  5 in total
  2 in total

1.  A fuzzy classification system to predict renal artery restenosis after angioplasty.

Authors:  I Cherrak; M C Jaulent; P Degoulet
Journal:  Proc AMIA Symp       Date:  1998

2.  Automatic stenosis detection and quantification in renal arteriography.

Authors:  I Cherrak; J F Paul; M C Jaulent; G Chatellier; P F Plouin; J C Gaux; P Degoulet
Journal:  Proc AMIA Annu Fall Symp       Date:  1997
  2 in total

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