{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T17:30:35Z","timestamp":1774459835106,"version":"3.50.1"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T00:00:00Z","timestamp":1672444800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T00:00:00Z","timestamp":1672444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Key Research and Development Program of Jiangsu","award":["BE2021663"],"award-info":[{"award-number":["BE2021663"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81871439"],"award-info":[{"award-number":["81871439"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801474"],"award-info":[{"award-number":["61801474"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801475"],"award-info":[{"award-number":["61801475"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003968","name":"Iran National Science Foundation","doi-asserted-by":"publisher","award":["96003954"],"award-info":[{"award-number":["96003954"]}],"id":[{"id":"10.13039\/501100003968","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Province Department of Science and Technology","award":["ZR2020QF019"],"award-info":[{"award-number":["ZR2020QF019"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s11517-022-02740-8","type":"journal-article","created":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T01:02:26Z","timestamp":1672448546000},"page":"699-708","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Coordinate-based fast lightweight path search algorithm for electromagnetic navigation bronchoscopy"],"prefix":"10.1007","volume":"61","author":[{"given":"Wenbin","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Jun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samaneh","family":"Saghatchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeedeh Navaei","family":"Lavasani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed","family":"Mohagheghi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Ahmadian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9906-0596","authenticated-orcid":false,"given":"Xin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,31]]},"reference":[{"issue":"11","key":"2740_CR1","doi-asserted-by":"publisher","first-page":"2381","DOI":"10.7150\/ijbs.35980","volume":"15","author":"F Liu","year":"2019","unstructured":"Liu F, Li J, Guan Y et al (2019) Dysbiosis of the gut microbiome is associated with tumor biomarkers in lung cancer. Int J Biol Sci 15(11):2381. https:\/\/doi.org\/10.7150\/ijbs.35980","journal-title":"Int J Biol Sci"},{"issue":"8","key":"2740_CR2","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1016\/S1470-2045(19)30329-8","volume":"20","author":"YH Luo","year":"2019","unstructured":"Luo YH, Luo L, Wampfler JA et al (2019) 5-year overall survival in patients with lung cancer eligible or ineligible for screening according to US Preventive Services Task Force criteria: a prospective, observational cohort study. Lancet Oncol 20(8):1098\u20131108. https:\/\/doi.org\/10.1016\/S1470-2045(19)30329-8","journal-title":"Lancet Oncol"},{"key":"2740_CR3","doi-asserted-by":"publisher","first-page":"4527","DOI":"10.2147\/OTT.S142149","volume":"10","author":"Y Tang","year":"2017","unstructured":"Tang Y, Qiao G, Xu E et al (2017) Biomarkers for early diagnosis, prognosis, prediction, and recurrence monitoring of non-small cell lung cancer. OncoTargets Ther 10:4527. https:\/\/doi.org\/10.2147\/OTT.S142149","journal-title":"OncoTargets Ther"},{"issue":"3","key":"2740_CR4","doi-asserted-by":"publisher","first-page":"974","DOI":"10.1016\/j.athoracsur.2004.06.004","volume":"79","author":"A L\u00f3pez-Encuentra","year":"2005","unstructured":"L\u00f3pez-Encuentra A, Garc\u00eda-Luj\u00e1n R, Rivas JJ et al (2005) Comparison between clinical and pathologic staging in 2,994 cases of lung cancer. Ann Thorac Surg 79(3):974\u2013979. https:\/\/doi.org\/10.1016\/j.athoracsur.2004.06.004","journal-title":"Ann Thorac Surg"},{"issue":"6","key":"2740_CR5","doi-asserted-by":"publisher","first-page":"1800","DOI":"10.1378\/chest.06-3016","volume":"131","author":"R Eberhardt","year":"2007","unstructured":"Eberhardt R, Anantham D, Herth F et al (2007) Electromagnetic navigation diagnostic bronchoscopy in peripheral lung lesions. Chest 131(6):1800\u20131805. https:\/\/doi.org\/10.1378\/chest.06-3016","journal-title":"Chest"},{"issue":"3","key":"2740_CR6","doi-asserted-by":"publisher","first-page":"S253","DOI":"10.1016\/j.jtho.2021.01.365","volume":"16","author":"F Bao","year":"2021","unstructured":"Bao F, Gu Z, Wang R et al (2021) P02. 17 Feasibility and safety of ENB guided microwave ablation for lung cancer: a preliminary report. J Thorac Oncol 16(3):S253\u2013S254. https:\/\/doi.org\/10.1016\/j.jtho.2021.01.365","journal-title":"J Thorac Oncol"},{"issue":"12","key":"2740_CR7","doi-asserted-by":"publisher","first-page":"6282","DOI":"10.1118\/1.4966025","volume":"43","author":"G Nelson","year":"2016","unstructured":"Nelson G, Wu M, Hinkel C et al (2016) Improved targeting accuracy of lung tumor biopsies with scanning-beam digital x-ray tomosynthesis image guidance. Med Phys 43(12):6282\u20136290. https:\/\/doi.org\/10.1118\/1.4966025","journal-title":"Med Phys"},{"issue":"1","key":"2740_CR8","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1378\/chest.128.1.382","volume":"128","author":"H Hautmann","year":"2005","unstructured":"Hautmann H, Schneider A, Pinkau T et al (2005) Electromagnetic catheter navigation during bronchoscopy: validation of a novel method by conventional fluoroscopy. Chest 128(1):382\u2013387. https:\/\/doi.org\/10.1378\/chest.128.1.382","journal-title":"Chest"},{"key":"2740_CR9","doi-asserted-by":"publisher","unstructured":"Bitter I, Sato M, Bender M et al (2000) CEASAR: a smooth, accurate and robust centerline extraction algorithm. In: Proceedings Visualization 2000. VIS 2000 (Cat. No. 00CH37145) pp. 45\u201352. https:\/\/doi.org\/10.1109\/VISUAL.2000.885675","DOI":"10.1109\/VISUAL.2000.885675"},{"key":"2740_CR10","doi-asserted-by":"publisher","unstructured":"Geng H, Yang J, Tan W et al (2014) Fast 3D skeleton extraction of airways and applications to virtual bronchoscopy. In: The 26th Chinese Control and Decision Conference (2014 CCDC) pp. 3879\u20133884. https:\/\/doi.org\/10.1109\/CCDC.2014.6852857","DOI":"10.1109\/CCDC.2014.6852857"},{"issue":"12","key":"2740_CR11","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1109\/TMI.2002.806409","volume":"21","author":"M Wan","year":"2002","unstructured":"Wan M, Liang Z, Ke Q et al (2002) Automatic centerline extraction for virtual colonoscopy. IEEE Trans Med Imaging 21(12):1450\u20131460. https:\/\/doi.org\/10.1109\/TMI.2002.806409","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"2740_CR12","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1006\/cgip.1994.1042","volume":"56","author":"TC Lee","year":"1994","unstructured":"Lee TC, Kashyap RL, Chu CN (1994) Building skeleton models via 3-D medial surface axis thinning algorithms. CVGIP: Graph Model Image Process 56(6):462\u2013478. https:\/\/doi.org\/10.1006\/cgip.1994.1042","journal-title":"CVGIP: Graph Model Image Process"},{"issue":"5","key":"2740_CR13","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1118\/1.598244","volume":"25","author":"DS Paik","year":"1998","unstructured":"Paik DS, Beaulieu CF, Jeffrey RB et al (1998) Automated flight path planning for virtual endoscopy. Med Phys 25(5):629\u2013637. https:\/\/doi.org\/10.1118\/1.598244","journal-title":"Med Phys"},{"issue":"7","key":"2740_CR14","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1016\/S0167-8655(98)00031-2","volume":"19","author":"K Pal\u00e1gyi","year":"1998","unstructured":"Pal\u00e1gyi K, Kuba, (1998) A 3D 6-subiteration thinning algorithm for extracting medial lines. Pattern Recognit Lett 19(7):613\u2013627. https:\/\/doi.org\/10.1016\/S0167-8655(98)00031-2","journal-title":"Pattern Recognit Lett"},{"key":"2740_CR15","doi-asserted-by":"publisher","unstructured":"Law TY, Heng PA (2000) Automatic centerline extraction for 3D virtual bronchoscopy. In: International Conference on Medical Image Computing and Computer-Assisted Intervention pp. 786\u2013793. https:\/\/doi.org\/10.1007\/978-3-540-40899-4_81","DOI":"10.1007\/978-3-540-40899-4_81"},{"issue":"1","key":"2740_CR16","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/bf01386390","volume":"1","author":"EW Dijkstra","year":"1959","unstructured":"Dijkstra EW (1959) A note on two problems in connexion with graphs. Numer Math 1(1):269\u2013271. https:\/\/doi.org\/10.1007\/bf01386390","journal-title":"Numer Math"},{"issue":"13","key":"2740_CR17","doi-asserted-by":"publisher","first-page":"26513","DOI":"10.1016\/j.matpr.2018.08.109","volume":"5","author":"C Ciobirca","year":"2018","unstructured":"Ciobirca C, Lango T, Gruionu G et al (2018) A new procedure for automatic path planning in bronchoscopy. Mater Today 5(13):26513\u201326518. https:\/\/doi.org\/10.1016\/j.matpr.2018.08.109","journal-title":"Mater Today"},{"issue":"2","key":"2740_CR18","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1109\/tssc.1968.300136","volume":"4","author":"PE Hart","year":"1968","unstructured":"Hart PE, Nilsson NJ, Raphael B (1968) A formal basis for the heuristic determination of minimum cost paths. IEEE Trans Sys Sci Cybern 4(2):100\u2013107. https:\/\/doi.org\/10.1109\/tssc.1968.300136","journal-title":"IEEE Trans Sys Sci Cybern"},{"key":"2740_CR19","doi-asserted-by":"crossref","unstructured":"Homann H (2007) Implementation of a 3D thinning algorithm. Insight J 421:1\u20134. https:\/\/hodad.bioen.utah.edu\/devbuilds\/biomesh3d\/FEMesher\/references\/ITKbinaryThinningImageFilter3D.pdf. Accessed 19 Mar\u00a02021","DOI":"10.54294\/xjdr5f"},{"key":"2740_CR20","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.lungcan.2020.04.014","volume":"145","author":"XY Zhao","year":"2020","unstructured":"Zhao XY, Wang X, Xia W et al (2020) A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma. Lung Cancer 145:10\u201317. https:\/\/doi.org\/10.1016\/j.lungcan.2020.04.014","journal-title":"Lung Cancer"},{"key":"2740_CR21","unstructured":"Silversmith W. Dijkstra3d [Internet]. GitHub; 2018. Available from: https:\/\/github.com\/seung-lab\/dijkstra3d. Accessed 21 Nov\u00a02021"},{"key":"2740_CR22","unstructured":"MeasureAlgoTime. GitHub; 2018. Available from: https:\/\/github.com\/peng1ei\/MeasureAlgoTime. Accessed 25 Nov\u00a02021"},{"key":"2740_CR23","unstructured":"Process Status API (PSAPI) [Internet]. Microsoft; 2021. Available from: https:\/\/docs.microsoft.com\/en-us\/windows\/win32\/api\/psapi\/. Accessed 25 Nov\u00a02021"},{"issue":"10","key":"2740_CR24","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1007\/s11604-020-01000-9","volume":"38","author":"Y Morita","year":"2020","unstructured":"Morita Y, Yamashiro T, Tsuchiya N et al (2020) Automatic bronchial segmentation on ultra-HRCT scans: advantage of the 1024-matrix size with 0.25-mm slice thickness reconstruction. Jpn J Radiol 38(10):953\u2013959. https:\/\/doi.org\/10.1007\/s11604-020-01000-9","journal-title":"Jpn J Radiol"},{"key":"2740_CR25","doi-asserted-by":"publisher","first-page":"105387","DOI":"10.1016\/j.cmpb.2020.105387","volume":"191","author":"F Heutink","year":"2020","unstructured":"Heutink F, Koch V, Verbist B et al (2020) Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images. Comput Meth Prog Bio 191:105387. https:\/\/doi.org\/10.1016\/j.cmpb.2020.105387","journal-title":"Comput Meth Prog Bio"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02740-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-022-02740-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02740-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T11:31:57Z","timestamp":1676287917000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-022-02740-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,31]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["2740"],"URL":"https:\/\/doi.org\/10.1007\/s11517-022-02740-8","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,31]]},"assertion":[{"value":"7 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}