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 |
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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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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. 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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.</description><subject>Animals</subject><subject>Biomechanical Phenomena</subject><subject>Elasticity Imaging Techniques - instrumentation</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Equipment Design</subject><subject>Goats</subject><subject>Lung - pathology</subject><subject>Phantoms, Imaging</subject><subject>Photoacoustic Techniques - instrumentation</subject><subject>Photoacoustic Techniques - methods</subject><subject>Pneumonia - diagnosis</subject><issn>0003-7028</issn><issn>1943-3530</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kDtPxDAQhC0EguPRUyGXNAE7jhOHDvGWTrypo71kfQRd7MObIPj3-DigQKKy1_PNaD2M7UpxIGVRHAohVCFSE-_CqFSssJEsM5UorcQqGy3kZKFvsE2ilzjqUul1tpGazOhc6xF7vxvA9W0PffuG_LS1FgPGhzh7x73ltw6HzrsWuA2-49c-dDDj48FN6SjyMHWe-rbmx0RI1EUvf6LWTfnts-891H74kh_mWPchOu-R5t4RbrM1CzPCne9ziz2dnz2eXCbjm4urk-NxUitV9InKbCobkYGuzaQpMpkDYKFlY1Uz0VKCUZkGK7WxZQ6YmxoaNAKtzpSQhVJbbH-ZOw_-dUDqq66lGmczcBh3q6Qpc1OmIs8iKpZoHTxRQFvNQ9tB-KikqBZ9V3_7jpa97_Rh0mHza_gpOALJEiCYYvXih-Dib_8P_ARijYnN</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Biswas, Deblina</creator><creator>Kumari, Anshu</creator><creator>Chen, George C. 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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.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>28485655</pmid><doi>10.1177/0003702817708320</doi><tpages>6</tpages></addata></record> |
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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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