Enhancement in sensitivity of a blood perfusion parameter for frame-rate analysis of bio-speckle image

Recording the washout of indicator (for example, heat, radio-labeled dissolved gas, etc.) transiently introduced into tissue allows the estimation of tissue blood perfusion rate. Analysis of the washout data requires a material balance which appropriately accounts for all transport mechanisms and sources and sinks of the given indicator. From that balance one may perform a sensitivity analysis which specifies the susceptibility of the perfusion estimate to experimental errors in any of the pertinent parameters and variables. The sensitivity analysis is based on the normalized partial derivatives of tissue indicator concentration with respect to the experimental variables. The results indicate that the estimation of the tissue blood perfusion rate is highly sensitive to errors in the concentration of the diffusible indicator which dominate, by two orders of magnitude or more, the errors attributed to other parameters. For typical experimental conditions, the errors in the perfusion estimate due to the various parameters are shown to vary considerably, according to the sensor position and time of measurement. Based on this type of analysis, one may specify optimal temporal and spatial domains for the parameter estimation in order to minimize error propagation. The optimal time domains are shown to differ from those used in typical indicator washout analyses for estimating tissue perfusion rate.

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High Frame Rate Analysis Of Bat Population Levels And Bat Locomotion

10.1117/12.955134 ◽

1977 ◽

Author(s):

J. Scott Altenbach

Keyword(s):

Frame Rate ◽

High Frame Rate ◽

Rate Analysis

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Identification of Speech Transients Using Variable Frame Rate Analysis and Wavelet Packets

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.260720 ◽

2006 ◽

Cited By ~ 5

Author(s):

Daniel M. Rasetshwane ◽

J. Robert Boston ◽

Ching-Chung Li

Keyword(s):

Frame Rate ◽

Wavelet Packets ◽

Rate Analysis

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Blood Perfusion Parameter Estimation in Tumors by means of a Genetic Algorithm

Procedia Computer Science ◽

10.1016/j.procs.2017.05.225 ◽

2017 ◽

Vol 108 ◽

pp. 1384-1393 ◽

Cited By ~ 10

Author(s):

Ana Roberta Melo ◽

Michelli Marlane Silva Loureiro ◽

Felipe Loureiro

Keyword(s):

Genetic Algorithm ◽

Parameter Estimation ◽

Blood Perfusion ◽

Perfusion Parameter

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A Portable Plug-and-Play Imaging System for Physiological Monitoring

Vision Letters ◽

10.15353/vsnl.v1i1.57 ◽

2015 ◽

Vol 1 (1) ◽

Cited By ~ 1

Author(s):

Robert Amelard ◽

Jason Leung ◽

David Clausi ◽

Alexander Wong

Keyword(s):

Imaging System ◽

Blood Perfusion ◽

Research Community ◽

Frame Rate ◽

Physiological Monitoring ◽

System Configuration ◽

Plug And Play ◽

Optical Components ◽

Surface Level

Non-contact physiological monitoring has garnered interest in the research community. However, studies employ different imaging system configuration, including illuminant profile and wavelength, camera type and frame rate, and distance to the skin. In this paper, we propose an easily customizable imaging system for evaluating physiological monitoring parameters. The system’s design allows plug-and-play compatibility with various illumination sources, camera types, lenses, and optical components. Results using one configuration shows the feasibility of spatial blood perfusion analysis using this imaging system, where areas exhibiting clean blood pulsatility can be identified at the surface level.

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