Coronary flow evaluation by densitometric analysis of sequences of coronarographic images.

An indicator dilution method has been designed and applied to measure coronary flow rates in patients undergoing cardiac catheterization. It requires densitometric analysis of two particular angiographic sequences of the artery of interest, acquired digitally under specific conditions imposed on the...

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Publicado en:Medical & Biological Engineering & Computing Vol. 46; no. 2; pp. 199 - 205
Autores principales: Goszczynska H, Rewicki M, Goszczyńska, Hanna, Rewicki, Marek
Formato: research Journal Article
Publicado: Springer Nature Feb2008
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: Coronary flow evaluation by densitometric analysis of sequences of coronarographic images.
      aug:
        au:
          Goszczynska H
          Rewicki M
          Goszczyńska, Hanna
          Rewicki, Marek
        affil: Institute of Biocybernetics and Biomedical Engineering PAS, 4 Trojdena str., Warsaw, Poland
      sug:
        subj:
          Coronary Circulation
          Image Interpretation, Computer Assisted Methods
          Indicator Dilution Techniques
          Contrast Media
          Coronary Angiography Methods
          Heart Catheterization
          Models, Biological
          Human
      ab: An indicator dilution method has been designed and applied to measure coronary flow rates in patients undergoing cardiac catheterization. It requires densitometric analysis of two particular angiographic sequences of the artery of interest, acquired digitally under specific conditions imposed on the contrast medium injections. The method was tested first on a simple artery model, and then on coronarography images obtained during routine examinations of patients. A comparative analysis between a group of patients having presumably normal flows and another group exhibiting slow dye progression (SDP) shows a moderate consistency between the method and the clinical assessments.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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