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

doi:10.1117/1.JBO.18.2.026004

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^*

^*Corresponding author for this work

Department of Life Science

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

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.

Original language	English
Article number	026004
Journal	Journal of Biomedical Optics
Volume	18
Issue number	2
DOIs	https://doi.org/10.1117/1.JBO.18.2.026004
Publication status	Published - 2013 Feb

Keywords

Cardiac function
Drosophila
Optical coherence tomography
Random walker algorithm

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Biomedical Engineering

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10.1117/1.JBO.18.2.026004

Cite this

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title = "Semiautomatic and rapid quantification of heartbeat parameters in Drosophila using optical coherence tomography imaging",

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.",

keywords = "Cardiac function, Drosophila, Optical coherence tomography, Random walker algorithm",

author = "Guo, {Shou Yuan} and Liao, {Fang Tsu} and Su, {Ming Tsan} and Chang, {Cheng Yi} and Su, {Hong Ren} and Huang, {Jyun Cin} and Kuo, {Wen Chuan}",

note = "Funding Information: We are grateful to the Bloomington Stock Center and Fly Core of Taiwan for fly stock. This work was supported by grants from the National Science Council (Grant No. NSC 96-2628-M-003-001-MY3) and National Health Research Institute (NHRIEX91-9109SC) of Taiwan.",

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doi = "10.1117/1.JBO.18.2.026004",

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AU - Guo, Shou Yuan

AU - Liao, Fang Tsu

AU - Su, Ming Tsan

AU - Chang, Cheng Yi

AU - Su, Hong Ren

AU - Huang, Jyun Cin

AU - Kuo, Wen Chuan

N1 - Funding Information: We are grateful to the Bloomington Stock Center and Fly Core of Taiwan for fly stock. This work was supported by grants from the National Science Council (Grant No. NSC 96-2628-M-003-001-MY3) and National Health Research Institute (NHRIEX91-9109SC) of Taiwan.

PY - 2013/2

Y1 - 2013/2

N2 - 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.

AB - 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.

KW - Cardiac function

KW - Drosophila

KW - Optical coherence tomography

KW - Random walker algorithm

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Semiautomatic and rapid quantification of heartbeat parameters in Drosophila using optical coherence tomography imaging

Abstract

Keywords

ASJC Scopus subject areas

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