Literature DB >> 17946419

Semi-automated analysis of coronary flow Doppler images: validation with manual tracings.

V Magagnin1, E G Caiani, L Delfino, C Champlon, S Cerutti, M Turiel.   

Abstract

Coronary flow velocity reserve (CFVR) is conventionally obtained by manual tracings of Doppler profiles, as ratio of stress vs baseline diastolic peak velocity. When <1.9, this parameter evidences reduced coronary flow and possible microcirculatory disease. Our goals were: 1) to develop a novel technique for semi-automated detection of Doppler flow velocity profile, allowing the automated computation of CFVR and other parameters; 2) to validate this technique in comparison with conventional measurements obtained by manual tracing; 3) to test for differences between normal (N) subjects and patients with rheumatoid arthritis (RA). Linear correlation and Bland-Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between N and RA groups evidenced significant differences in some of the automated parameters.

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Year:  2006        PMID: 17946419     DOI: 10.1109/IEMBS.2006.260704

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support.

Authors:  T Syeda-Mahmood; P Turaga; D Beymer; F Wang; A Amir; H Greenspan; K Pohl
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2010-08-05

Review 2.  Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.

Authors:  Ghada Zamzmi; Li-Yueh Hsu; Wen Li; Vandana Sachdev; Sameer Antani
Journal:  IEEE Rev Biomed Eng       Date:  2021-01-22
  2 in total

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