Open Access
1 February 2013 Semiautomatic and rapid quantification of heartbeat parameters in Drosophila using optical coherence tomography imaging
Shou-Yuan Guo, Fang-Tsu Liao, Ming-Tsan Su, Cheng-Yi Chang, Hong-Ren Su, Jyun-Cin Huang, Wen-Chuan Kuo
Author Affiliations +
Funded by: National Science Council, National Health Research Institute
Abstract
We report a semiautomatic algorithm that is specialized for rapid analysis of beat-to-beat contraction-relaxation parameters of the heart in Drosophila. The presented algorithm adapts the general graph theoretical image segmentation algorithm and a histogram-based thresholding algorithm, which can measure many cardiac parameters, including heart rate, heart period, diastolic and systolic intervals, and end-diastolic and end-systolic areas. Additionally, dynamic cardiac functions, such as arrhythmia index and percent fractional shortening, can be automatically calculated for all the recorded heartbeats over significant periods of time.
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Shou-Yuan Guo, Fang-Tsu Liao, Ming-Tsan Su, Cheng-Yi Chang, Hong-Ren Su, Jyun-Cin Huang, and Wen-Chuan Kuo "Semiautomatic and rapid quantification of heartbeat parameters in Drosophila using optical coherence tomography imaging," Journal of Biomedical Optics 18(2), 026004 (1 February 2013). https://doi.org/10.1117/1.JBO.18.2.026004
Published: 1 February 2013
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Image segmentation

Heart

Optical coherence tomography

Evolutionary algorithms

Image processing algorithms and systems

Coherence imaging

Algorithms

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