Application of the spirometer in respiratory gated radiotherapy
The signal from a spirometer is directly correlated with respiratory motion and is ideal for target respiratory motion tracking. However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for...
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Veröffentlicht in: | Medical physics (Lancaster) 2003-12, Vol.30 (12), p.3165-3171 |
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description | The signal from a spirometer is directly correlated with respiratory motion and is ideal for target respiratory motion tracking. However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for a Bernoulli-type spirometer. A method is presented for rapid daily calibration of the spirometer to obtain a flow sensitivity function. Daily calibration assures accurate airflow measurement and also reduces signal drift. Dynamic baseline adjustment further controls the signal drift. The accuracy of these techniques was studied and it was found that the spirometer is able to provide a long-term drift-free breathing signal. The tracking error is comprised of two components: calibration error and stochastic signal baseline variation error. The calibration error is very small (1% of 3 l) and therefore negligible. The stochastic baseline variation error can be as large as 20% of the normal breathing amplitude. In view of these uncertainties, the applications of spirometers in treatment techniques that rely on breathing monitoring are discussed. Spirometer-based monitoring is noted most suitable for deep inspiration breath-hold but less important for free breathing gating techniques. |
doi_str_mv | 10.1118/1.1625439 |
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However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for a Bernoulli-type spirometer. A method is presented for rapid daily calibration of the spirometer to obtain a flow sensitivity function. Daily calibration assures accurate airflow measurement and also reduces signal drift. Dynamic baseline adjustment further controls the signal drift. The accuracy of these techniques was studied and it was found that the spirometer is able to provide a long-term drift-free breathing signal. The tracking error is comprised of two components: calibration error and stochastic signal baseline variation error. The calibration error is very small (1% of 3 l) and therefore negligible. The stochastic baseline variation error can be as large as 20% of the normal breathing amplitude. In view of these uncertainties, the applications of spirometers in treatment techniques that rely on breathing monitoring are discussed. Spirometer-based monitoring is noted most suitable for deep inspiration breath-hold but less important for free breathing gating techniques.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.1625439</identifier><identifier>PMID: 14713083</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>Bernoulli's principle ; biomedical measurement ; Biophysical techniques (research methods) ; Calibration ; displacement measurement ; Equipment Failure Analysis - methods ; flow measurement ; Hemodynamics ; Humans ; Medical radiation safety ; Movement ; patient monitoring ; Physicists ; Pneumodyamics, respiration ; pneumodynamics ; radiation therapy ; Radiotherapy - instrumentation ; Radiotherapy - methods ; Radiotherapy, Computer-Assisted - instrumentation ; Radiotherapy, Computer-Assisted - methods ; Record and verify systems and applications ; Reproducibility of Results ; Respiratory Mechanics ; Sensitivity and Specificity ; Spirometry - instrumentation ; Spirometry - methods ; Spirometry - standards</subject><ispartof>Medical physics (Lancaster), 2003-12, Vol.30 (12), p.3165-3171</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2003 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4559-266c7305cd2c65c979deb711ce2dca6b98181895575353aacc143e379e70ee253</citedby><cites>FETCH-LOGICAL-c4559-266c7305cd2c65c979deb711ce2dca6b98181895575353aacc143e379e70ee253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.1625439$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.1625439$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14713083$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Tiezhi</creatorcontrib><creatorcontrib>Keller, Harry</creatorcontrib><creatorcontrib>O’Brien, Matthew J.</creatorcontrib><creatorcontrib>Mackie, Thomas R.</creatorcontrib><creatorcontrib>Paliwal, Bhudatt</creatorcontrib><title>Application of the spirometer in respiratory gated radiotherapy</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>The signal from a spirometer is directly correlated with respiratory motion and is ideal for target respiratory motion tracking. However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for a Bernoulli-type spirometer. A method is presented for rapid daily calibration of the spirometer to obtain a flow sensitivity function. Daily calibration assures accurate airflow measurement and also reduces signal drift. Dynamic baseline adjustment further controls the signal drift. The accuracy of these techniques was studied and it was found that the spirometer is able to provide a long-term drift-free breathing signal. The tracking error is comprised of two components: calibration error and stochastic signal baseline variation error. The calibration error is very small (1% of 3 l) and therefore negligible. The stochastic baseline variation error can be as large as 20% of the normal breathing amplitude. In view of these uncertainties, the applications of spirometers in treatment techniques that rely on breathing monitoring are discussed. Spirometer-based monitoring is noted most suitable for deep inspiration breath-hold but less important for free breathing gating techniques.</description><subject>Bernoulli's principle</subject><subject>biomedical measurement</subject><subject>Biophysical techniques (research methods)</subject><subject>Calibration</subject><subject>displacement measurement</subject><subject>Equipment Failure Analysis - methods</subject><subject>flow measurement</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Medical radiation safety</subject><subject>Movement</subject><subject>patient monitoring</subject><subject>Physicists</subject><subject>Pneumodyamics, respiration</subject><subject>pneumodynamics</subject><subject>radiation therapy</subject><subject>Radiotherapy - instrumentation</subject><subject>Radiotherapy - methods</subject><subject>Radiotherapy, Computer-Assisted - instrumentation</subject><subject>Radiotherapy, Computer-Assisted - methods</subject><subject>Record and verify systems and applications</subject><subject>Reproducibility of Results</subject><subject>Respiratory Mechanics</subject><subject>Sensitivity and Specificity</subject><subject>Spirometry - instrumentation</subject><subject>Spirometry - methods</subject><subject>Spirometry - standards</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LxDAQQIMo7rp68A9IT4JC13w2zUmWxS9Y0YOeQzad1Ui7qUmL9N_btQVPyhyGgccbeAidEjwnhORXZE4yKjhTe2hKuWQpp1jtoynGiqeUYzFBRzF-YIwzJvAhmhAuCcM5m6LrRV2XzprG-W3iN0nzDkmsXfAVNBASt00C7G7T-NAlb6aBIgmmcL4Hg6m7Y3SwMWWEk3HP0OvtzcvyPl093T0sF6vUciFUSrPMSoaFLajNhFVSFbCWhFighTXZWuWkHyWEFEwwY6wlnAGTCiQGoILN0PngrYP_bCE2unLRQlmaLfg2akkEZrnMe_BiAG3wMQbY6Dq4yoROE6x3tTTRY62ePRul7bqC4pcc8_RAOgBfroTub5N-fB6FlwMfrWt-mv7z_Rugf36Z</recordid><startdate>200312</startdate><enddate>200312</enddate><creator>Zhang, Tiezhi</creator><creator>Keller, Harry</creator><creator>O’Brien, Matthew J.</creator><creator>Mackie, Thomas R.</creator><creator>Paliwal, Bhudatt</creator><general>American Association of Physicists in Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200312</creationdate><title>Application of the spirometer in respiratory gated radiotherapy</title><author>Zhang, Tiezhi ; Keller, Harry ; O’Brien, Matthew J. ; Mackie, Thomas R. ; Paliwal, Bhudatt</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4559-266c7305cd2c65c979deb711ce2dca6b98181895575353aacc143e379e70ee253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Bernoulli's principle</topic><topic>biomedical measurement</topic><topic>Biophysical techniques (research methods)</topic><topic>Calibration</topic><topic>displacement measurement</topic><topic>Equipment Failure Analysis - methods</topic><topic>flow measurement</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Medical radiation safety</topic><topic>Movement</topic><topic>patient monitoring</topic><topic>Physicists</topic><topic>Pneumodyamics, respiration</topic><topic>pneumodynamics</topic><topic>radiation therapy</topic><topic>Radiotherapy - instrumentation</topic><topic>Radiotherapy - methods</topic><topic>Radiotherapy, Computer-Assisted - instrumentation</topic><topic>Radiotherapy, Computer-Assisted - methods</topic><topic>Record and verify systems and applications</topic><topic>Reproducibility of Results</topic><topic>Respiratory Mechanics</topic><topic>Sensitivity and Specificity</topic><topic>Spirometry - instrumentation</topic><topic>Spirometry - methods</topic><topic>Spirometry - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Tiezhi</creatorcontrib><creatorcontrib>Keller, Harry</creatorcontrib><creatorcontrib>O’Brien, Matthew J.</creatorcontrib><creatorcontrib>Mackie, Thomas R.</creatorcontrib><creatorcontrib>Paliwal, Bhudatt</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Tiezhi</au><au>Keller, Harry</au><au>O’Brien, Matthew J.</au><au>Mackie, Thomas R.</au><au>Paliwal, Bhudatt</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of the spirometer in respiratory gated radiotherapy</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2003-12</date><risdate>2003</risdate><volume>30</volume><issue>12</issue><spage>3165</spage><epage>3171</epage><pages>3165-3171</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>The signal from a spirometer is directly correlated with respiratory motion and is ideal for target respiratory motion tracking. However, its susceptibility to signal drift deters its application in radiotherapy. In this work, a few approaches are investigated to control spirometer signal drift for a Bernoulli-type spirometer. A method is presented for rapid daily calibration of the spirometer to obtain a flow sensitivity function. Daily calibration assures accurate airflow measurement and also reduces signal drift. Dynamic baseline adjustment further controls the signal drift. The accuracy of these techniques was studied and it was found that the spirometer is able to provide a long-term drift-free breathing signal. The tracking error is comprised of two components: calibration error and stochastic signal baseline variation error. The calibration error is very small (1% of 3 l) and therefore negligible. The stochastic baseline variation error can be as large as 20% of the normal breathing amplitude. In view of these uncertainties, the applications of spirometers in treatment techniques that rely on breathing monitoring are discussed. Spirometer-based monitoring is noted most suitable for deep inspiration breath-hold but less important for free breathing gating techniques.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>14713083</pmid><doi>10.1118/1.1625439</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bernoulli's principle biomedical measurement Biophysical techniques (research methods) Calibration displacement measurement Equipment Failure Analysis - methods flow measurement Hemodynamics Humans Medical radiation safety Movement patient monitoring Physicists Pneumodyamics, respiration pneumodynamics radiation therapy Radiotherapy - instrumentation Radiotherapy - methods Radiotherapy, Computer-Assisted - instrumentation Radiotherapy, Computer-Assisted - methods Record and verify systems and applications Reproducibility of Results Respiratory Mechanics Sensitivity and Specificity Spirometry - instrumentation Spirometry - methods Spirometry - standards |
title | Application of the spirometer in respiratory gated radiotherapy |
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