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Application of image analysis methods for vascular blood flow assessment with angiographic imaging

Lookup NU author(s): Professor Boguslaw ObaraORCiD


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The Department of Angiology of Jagiellonian University did research on the treatment of critical limb ischemia with bone-marrow transplantation. Extensive tests of objective and subjective examinations were conducted to evaluate the efficacy of the treatment. One of these test procedures - the analysis of vascular net density in angiographic imaging was supported by quantitative image analysis methods. Angiographic videos made before and after intervention were converted to image sequences. Analyzed images revealed translation of blood vessels in XY plane and differences in brightness. The normalized cross correlation method was used to find the translation vector. The developed image processing algorithm involves initial filtration, top-hat operation, automatic threshold and final filtration of all angiographical images. Volume increment of blood flow per time unit and the length of blood vessels were duly analysed on the segmented images. Further investigations of many patients' angiographical videos, with different parts of the blood system are still required to fully verify the adequacy of the algorithm as a tool supporting the doctor's decisions.

Publication metadata

Author(s): Obara B, Nizankowski RT

Publication type: Article

Publication status: Published

Journal: Przeglad Elektrotechniczny

Year: 2005

Volume: 81

Issue: 3

Pages: 76-78

Print publication date: 01/03/2005

ISSN (print): 0033-2097

ISSN (electronic): 2449-9544

Publisher: Wydawnictwo SIGMA