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DIC measurements of the human heart during cardiopulmonary bypass surgery

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationConference Proceedings of the Society for Experimental Mechanics Series
PublisherSpringer New York LLC
Pages51-59
Number of pages9
Volume6
ISBN (Print)9783319214542
DOIs
Publication statusPublished - 2016
Publication typeA4 Article in a conference publication
EventSociety for experimental mechanics annual conference & exposition on experimental and applied mechanics -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Print)2191-5644

Conference

ConferenceSociety for experimental mechanics annual conference & exposition on experimental and applied mechanics
Period1/01/00 → …

Abstract

Image-based measurements of the deformation of the human heart can be very useful to the surgeon, when assessing the condition and functioning of the patient’s heart. Digital image correlation can provide fast and accurate information about the deformation and motion of the surface of the heart. The deformation measurements can be visualized with colors allowing easy interpretation of the results, which makes this technique even more suitable for use in the operating room. Digital image correlation, however, requires either a natural or an artificial surface pattern with high contrast. The surface of the heart is wet, smooth, and has only a minimal contrast pattern, which cannot easily be improved with artificial markers. This preliminary feasibility study, however, shows that despite the practical and theoretical problems, DIC can provide useful data on the deformation of the human heart during cardiopulmonary bypass surgery. The results show that the natural patterns of the right atrium and ventricle are sufficient for DIC analysis, but significantly better results could be obtained with higher contrast artificial patterns.

Keywords

  • Digital Image Correlation, Human heart, In-vivo measurements, Natural pattern

Publication forum classification

Field of science, Statistics Finland