Quantitative Differentiation of Pneumonia from Normal Lungs: Diagnostic Assessment Using Photoacoustic Spectral Response

Pneumonia is an acute lung infection that takes life of many young children in developing countries. Early stage (red hepatization) detection of pneumonia would be pragmatic to control mortality rate. Detection of this disease at early stages demands the knowledge of pathology, making it difficult t...

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Veröffentlicht in:Applied spectroscopy 2017-11, Vol.71 (11), p.2532-2537
Hauptverfasser: Biswas, Deblina, Kumari, Anshu, Chen, George C. K., Vasudevan, Srivathsan, Gupta, Sharad, Shukla, Supriya, Garg, Umesh K.
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container_end_page 2537
container_issue 11
container_start_page 2532
container_title Applied spectroscopy
container_volume 71
creator Biswas, Deblina
Kumari, Anshu
Chen, George C. K.
Vasudevan, Srivathsan
Gupta, Sharad
Shukla, Supriya
Garg, Umesh K.
description Pneumonia is an acute lung infection that takes life of many young children in developing countries. Early stage (red hepatization) detection of pneumonia would be pragmatic to control mortality rate. Detection of this disease at early stages demands the knowledge of pathology, making it difficult to screen noninvasively. We propose photoacoustic spectral response (PASR), a noninvasive elasticity-dependent technique for early stage pneumonia detection. We report the quantitative red hepatization detection of pneumonia through median frequency, spectral energy, and variance. Significant contrast in spectral parameters due to change in sample elasticity is found. The tissue-mimicking phantom study illustrates a 39% increase in median frequency for 1.5 times the change in density. On applying to formalin-fixed pneumonia-affected goat lungs, it provides a distinct change in spectral parameters between pneumonia affected areas and normal lungs. The obtained PASR results were found to be highly correlating to standard histopathology. The proposed technique therefore has potential to be a regular diagnostic tool for early pneumonia detection.
doi_str_mv 10.1177/0003702817708320
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source MEDLINE; SAGE Journals
subjects Animals
Biomechanical Phenomena
Elasticity Imaging Techniques - instrumentation
Elasticity Imaging Techniques - methods
Equipment Design
Goats
Lung - pathology
Phantoms, Imaging
Photoacoustic Techniques - instrumentation
Photoacoustic Techniques - methods
Pneumonia - diagnosis
title Quantitative Differentiation of Pneumonia from Normal Lungs: Diagnostic Assessment Using Photoacoustic Spectral Response
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