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<Month>11</Month>
<Day>14</Day>
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<ISSN IssnType="Print">2329-4302</ISSN>
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<Volume>5</Volume>
<Issue>2</Issue>
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<Year>2018</Year>
<Month>Apr</Month>
</PubDate>
</JournalIssue>
<Title>Journal of medical imaging (Bellingham, Wash.)</Title>
<ISOAbbreviation>J Med Imaging (Bellingham)</ISOAbbreviation>
</Journal>
<ArticleTitle>Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.1117/1.JMI.5.2.026002</ELocationID>
<Abstract>
<AbstractText>We designed and generated pulmonary imaging biomarker pipelines to facilitate high-throughput research and point-of-care use in patients with chronic lung disease. Image processing modules and algorithm pipelines were embedded within a graphical user interface (based on the .NET framework) for pulmonary magnetic resonance imaging (MRI) and x-ray computed-tomography (CT) datasets. The software pipelines were generated using C++ and included: (1) inhaled <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
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</mml:math> ventilation and apparent diffusion coefficients, (2) CT-MRI coregistration for lobar and segmental ventilation and perfusion measurements, (3) ultrashort echo-time <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML">
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</mml:math> specific ventilation, (5) multivolume CT and MRI parametric response maps, and (6) MRI and CT texture analysis and radiomics. The image analysis framework was implemented on a desktop workstation/tablet to generate biomarkers of regional lung structure and function related to ventilation, perfusion, lung tissue texture, and integrity as well as multiparametric measures of gas trapping and airspace enlargement. All biomarkers were generated within 10 min with measurement reproducibility consistent with clinical and research requirements. The resultant pulmonary imaging biomarker pipeline provides real-time and automated lung imaging measurements for point-of-care and high-throughput research.</AbstractText>
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<Author ValidYN="Y">
<LastName>Guo</LastName>
<ForeName>Fumin</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Graduate Program in Biomedical Engineering, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Toronto, Sunnybrook Research Institute, Toronto, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Capaldi</LastName>
<ForeName>Dante</ForeName>
<Initials>D</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0002-4590-7461</Identifier>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Department of Medical Biophysics, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Kirby</LastName>
<ForeName>Miranda</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>University of British Columbia, St. Paul's Hospital, Centre for Heart Lung Innovation, Vancouver, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Sheikh</LastName>
<ForeName>Khadija</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Svenningsen</LastName>
<ForeName>Sarah</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>McCormack</LastName>
<ForeName>David G</ForeName>
<Initials>DG</Initials>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Division of Respirology, Department of Medicine, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Fenster</LastName>
<ForeName>Aaron</ForeName>
<Initials>A</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-3525-2788</Identifier>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Graduate Program in Biomedical Engineering, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Department of Medical Biophysics, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Parraga</LastName>
<ForeName>Grace</ForeName>
<Initials>G</Initials>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Robarts Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Graduate Program in Biomedical Engineering, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>University of Western Ontario, Department of Medical Biophysics, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<CollectiveName>Canadian Respiratory Research Network</CollectiveName>
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<Language>eng</Language>
<PublicationTypeList>
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<ArticleDate DateType="Electronic">
<Year>2018</Year>
<Month>06</Month>
<Day>28</Day>
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<Country>United States</Country>
<MedlineTA>J Med Imaging (Bellingham)</MedlineTA>
<NlmUniqueID>101643461</NlmUniqueID>
<ISSNLinking>2329-4302</ISSNLinking>
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<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">asthma</Keyword>
<Keyword MajorTopicYN="N">chronic obstructive lung disease</Keyword>
<Keyword MajorTopicYN="N">image processing, biomarkers</Keyword>
<Keyword MajorTopicYN="N">magnetic resonance imaging</Keyword>
<Keyword MajorTopicYN="N">thoracic computed tomography</Keyword>
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<Year>2017</Year>
<Month>12</Month>
<Day>12</Day>
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<Year>2018</Year>
<Month>06</Month>
<Day>14</Day>
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<Year>2019</Year>
<Month>06</Month>
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