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In order to understand its underlying mechanisms and to enable assessment of therapeutic efficacy of a variety of possible interventions, noninvasive investigation of the airways in a large number of subjects is of great research interest. Due to its high resolution in temporal and spatial domains, computed tomography (CT) has been widely used in clinical practices for studying the normal and abnormal manifestations of lung diseases, albeit there is a need to clearly demonstrate the benefits in light of the cost and radiation dose associated with CT examinations performed for the purpose of airway analysis. Whereas a single CT examination consists of a large number of images, manually identifying airway morphological characteristics and computing features to enable thorough investigations of airway and other lung diseases is very time\u2010consuming and susceptible to errors. Hence, automated and semiautomated computerized analysis of human airways is becoming an important research area in medical imaging. A number of computerized techniques have been developed to date for the analysis of lung airways. In this review, we present a summary of the primary methods developed for computerized analysis of human airways, including airway segmentation, airway labeling, and airway morphometry, as well as a number of computer\u2010aided clinical applications, such as virtual bronchoscopy. Both successes and underlying limitations of these approaches are discussed, while highlighting areas that may require additional work.<\/jats:p>","DOI":"10.1118\/1.4703901","type":"journal-article","created":{"date-parts":[[2012,4,18]],"date-time":"2012-04-18T22:06:20Z","timestamp":1334786780000},"page":"2603-2616","source":"Crossref","is-referenced-by-count":62,"title":["CT based computerized identification and analysis of human airways: A review"],"prefix":"10.1002","volume":"39","author":[{"given":"Jiantao","family":"Pu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suicheng","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shusen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaocheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jill M.","family":"Siegfried","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Gur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2012,4,18]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.125.1.106"},{"key":"e_1_2_9_3_1","unstructured":"Lung Disease Data:2008 http:\/\/www.lungusa.org\/assets\/documents\/publications\/lung\u2010disease\u2010data\/LDD_2008.pdf"},{"key":"e_1_2_9_4_1","unstructured":"Estimates for chronic obstructive pulmonary disease asthma pneumonia\/influenza and other lung diseases are from Chart Book 2007 National Heart Lung and Blood Institute (2007)."},{"key":"e_1_2_9_5_1","first-page":"1250","volume-title":"Handbook of Medical Imaging: Medical Image Processing and Analysis","author":"Sonka M.","year":"2000"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2491071650"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.157.6.9606088"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2008-2233E"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1089\/jam.1996.9.183"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.08-2858"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.rti.0000142838.60353.b1"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200907-1008OC"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.500140"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/54\/22\/017"},{"key":"e_1_2_9_15_1","first-page":"103","volume-title":"SPIE Medical Imaging","author":"Schlath\u00f6lter T.","year":"2002"},{"key":"e_1_2_9_16_1","doi-asserted-by":"crossref","unstructured":"K.Mori J.Hasegawa J.Toriwaki J.Anno andK.Katada \u201cRecognition of bronchus in three\u2010dimensional X\u2010ray CT images with applications to virtualized bronchoscopy system \u201d inProceeding of 13th International Conference on Pattern Recognition (ICPR'1996)(IEEE Vienna Austria 1996) Vol.3 pp.528\u2013532.","DOI":"10.1109\/ICPR.1996.547003"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.2170\/physiolsci.RP007408"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.815905"},{"key":"e_1_2_9_19_1","first-page":"906","volume-title":"SPIE Medical Imaging","author":"Law T. 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