{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:24:39Z","timestamp":1768263879556,"version":"3.49.0"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>A segmentation algorithm to isolate areas of ventilation from hyperpolarized helium-3 magnetic resonance imaging (HP<jats:sup>3<\/jats:sup>He MRI) is described. The algorithm was tested with HP<jats:sup>3<\/jats:sup>He MRI data from four healthy and six asthmatic subjects. Ventilated lung volume (VLV) measured using our semiautomated technique was compared to that obtained from manual outlining of ventilated lung regions and to standard spirometric measurements. VLVs from both approaches were highly correlated (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>R<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.99<\/mml:mn><\/mml:math>;<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mrow><mml:mi>P<\/mml:mi><mml:mo>&lt;<\/mml:mo><mml:mn>0.0001<\/mml:mn><\/mml:mrow><\/mml:math>) with a mean difference of 3.8\u2009mL and 95% agreement indices of \u221230.8\u2009mL and 38.4\u2009mL. There was no significant difference between the VLVs obtained through the semiautomatic approach and the manual approach. A Dice coefficient which quantified the intersection of the two datasets was calculated and ranged from 0.95 to 0.97 with a mean of 0.96 \u00b1 0.01 (mean \u00b1 SD). VLVs obtained through the semiautomatic algorithm were also highly correlated with measurements of forced expiratory volume in one second (FEV<jats:sub>1<\/jats:sub>) (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mi>R<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.82<\/mml:mn><\/mml:math>;<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M5\"><mml:mrow><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.0035<\/mml:mn><\/mml:mrow><\/mml:math>) and forced vital capacity (FVC) (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M6\"><mml:mi>R<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.95<\/mml:mn><\/mml:math>;<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M7\"><mml:mrow><mml:mi>P<\/mml:mi><mml:mo>&lt;<\/mml:mo><mml:mn>0.0001<\/mml:mn><\/mml:mrow><\/mml:math>). The technique may open new pathways toward advancing more quantitative characterization of ventilation for routine clinical assessment for asthma severity as well as a number of other respiratory diseases.<\/jats:p>","DOI":"10.1155\/2013\/624683","type":"journal-article","created":{"date-parts":[[2013,3,31]],"date-time":"2013-03-31T17:01:11Z","timestamp":1364749271000},"page":"1-9","source":"Crossref","is-referenced-by-count":9,"title":["Semiautomatic Segmentation of Ventilated Airspaces in Healthy and Asthmatic Subjects Using Hyperpolarized<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mtext>He<\/mml:mtext><\/mml:math>MRI"],"prefix":"10.1155","volume":"2013","author":[{"given":"J. K.","family":"Lui","sequence":"first","affiliation":[{"name":"Boston University, School of Medicine, Boston, MA 02118, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. S.","family":"LaPrad","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, Boston University, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.","family":"Parameswaran","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, College of Engineering, Boston University, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y.","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Radiology, Brigham and Women\u2019s Hospital, Boston, MA 02115, USA"},{"name":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, USA"},{"name":"Dana Farber Cancer Institute, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. S.","family":"Albert","sequence":"additional","affiliation":[{"name":"Department of Radiology, Brigham and Women\u2019s Hospital, Boston, MA 02115, USA"},{"name":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, USA"},{"name":"Department of Chemistry, Lakehead University, Thunder Bay, ON, Canada P7A 5E1"},{"name":"Thunder Bay Regional Research Institute, Thunder Bay, ON, Canada P7B 6V4"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. 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