{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T03:37:51Z","timestamp":1768707471657,"version":"3.49.0"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"national key research and development program of china","award":["2017YFB1300204"],"award-info":[{"award-number":["2017YFB1300204"]}]},{"name":"hefei foreign cooperation project","award":["ZR201801020002"],"award-info":[{"award-number":["ZR201801020002"]}]},{"name":"the natural science fund of anhui province","award":["2008085MC69"],"award-info":[{"award-number":["2008085MC69"]}]},{"DOI":"10.13039\/100006988","name":"john s. dunn foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006988","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-022-02676-2","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T07:05:35Z","timestamp":1653980735000},"page":"1751-1764","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model"],"prefix":"10.1007","volume":"17","author":[{"given":"Tengfei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiancheng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenglin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liwei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoren","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhuang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen T. C.","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8504-5811","authenticated-orcid":false,"given":"Hai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,31]]},"reference":[{"key":"2676_CR1","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3322\/caac.21590","volume":"70","author":"RL Siegel","year":"2020","unstructured":"Siegel RL, Miller KD, Jemal A (2020) Cancer statistics. CA Cancer J Clin 70:7\u201330. https:\/\/doi.org\/10.3322\/caac.21590","journal-title":"CA Cancer J Clin"},{"key":"2676_CR2","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1056\/NEJMoa1916623","volume":"383","author":"N Howlader","year":"2020","unstructured":"Howlader N, Forjaz G, Mooradian MJ, Meza R, Feuer EJ (2020) The effect of advances in Lung-Cancer treatment on population mortality. N Engl J Med 383:640\u2013649. https:\/\/doi.org\/10.1056\/NEJMoa1916623","journal-title":"N Engl J Med"},{"key":"2676_CR3","doi-asserted-by":"publisher","first-page":"3184","DOI":"10.1002\/sim.8170","volume":"38","author":"I Akushevich","year":"2019","unstructured":"Akushevich I, Kravchenko J, Yashkin AP, Fang F, Yashin AI (2019) Partitioning of time trends in prevalence and mortality of lung cancer. Stat Med 38:3184\u20133203. https:\/\/doi.org\/10.1002\/sim.8170","journal-title":"Stat Med"},{"key":"2676_CR4","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1001\/jama.297.9.953","volume":"297","author":"PB Bach","year":"2007","unstructured":"Bach PB, Jett JR, Pastorino U, Tockman MS, Swensen SJ, Begg CB (2007) Computed tomography screening and lung cancer outcomes. JAMA 297:953\u2013961. https:\/\/doi.org\/10.1001\/jama.297.9.953","journal-title":"JAMA"},{"key":"2676_CR5","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1055\/s-0033-1342952","volume":"30","author":"RS Winokur","year":"2013","unstructured":"Winokur RS, Pua BB, Sullivan BW, Madoff DC (2013) Percutaneous lung biopsy: technique, efficacy, and complications. Semin Intervent Radiol 30:121\u2013127. https:\/\/doi.org\/10.1055\/s-0033-1342952","journal-title":"Semin Intervent Radiol"},{"key":"2676_CR6","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1007\/s00330-017-5027-1","volume":"28","author":"YY Chang","year":"2018","unstructured":"Chang YY, Chen CK, Yeh YC, Wu MH (2018) Diagnostic feasibility and safety of CT-guided core biopsy for lung nodules less than or equal to 8 mm: a single-institution experience. Eur Radiol 28:796\u2013806. https:\/\/doi.org\/10.1007\/s00330-017-5027-1","journal-title":"Eur Radiol"},{"key":"2676_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/0300060519879006","volume":"48","author":"XL Liu","year":"2019","unstructured":"Liu XL, Li W, Yang WX, Rui MP, Yang LP (2019) Computed tomography-guided biopsy of small lung nodules: diagnostic accuracy and analysis for true negatives. J Int Med Res 48:1\u201310. https:\/\/doi.org\/10.1177\/0300060519879006","journal-title":"J Int Med Res"},{"issue":"18","key":"2676_CR8","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1016\/j.jvir.2007.06.014","volume":"1","author":"J Kr\u00fccker","year":"2007","unstructured":"Kr\u00fccker J, Xu S, Glossop N, Viswanathan A, Borgert J, Schulz H, Wood BJ (2007) Electromagnetic tracking for thermal ablation and biopsy guidance: clinical evaluation of spatial accuracy. J Vasclntem Radio 1(18):1141\u20131150. https:\/\/doi.org\/10.1016\/j.jvir.2007.06.014","journal-title":"J Vasclntem Radio"},{"key":"2676_CR9","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1088\/0031-9155\/48\/14\/314","volume":"48","author":"DD Frantz","year":"2003","unstructured":"Frantz DD, Wiles AD, Leis SE, Kirsch SR (2003) Accuracy assessment protocols for electromagnetic tracking systems. Phys Med Biol 48:2241\u20132251. https:\/\/doi.org\/10.1088\/0031-9155\/48\/14\/314","journal-title":"Phys Med Biol"},{"key":"2676_CR10","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1016\/S0301-5629(01)00395-7","volume":"27","author":"DC Barratt","year":"2001","unstructured":"Barratt DC, Davies AH, Hughes AD, Thom SA, Humphries KN (2001) Optimisation and evaluation of an electromagnetic tracking device for high-accuracy three-dimensional ultrasound imaging of the carotid arteries. Ultrasound Med Biol 27:957\u2013968. https:\/\/doi.org\/10.1016\/S0301-5629(01)00395-7","journal-title":"Ultrasound Med Biol"},{"key":"2676_CR11","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1016\/0021-9290(96)83335-5","volume":"29","author":"AD Milne","year":"1996","unstructured":"Milne AD, Chess DG, Johnson JA, King GJW (1996) Accuracy of an electromagnetic tracking device: a study of the optimal range and metal interference. J Biomech 29:791\u2013793. https:\/\/doi.org\/10.1016\/0021-9290(96)83335-5","journal-title":"J Biomech"},{"key":"2676_CR12","doi-asserted-by":"publisher","first-page":"2698","DOI":"10.1118\/1.1992267","volume":"32","author":"F Banovac","year":"2005","unstructured":"Banovac F, Tang J, Xu S, Lindisch D, Chung HY, Levy EB, Chang T, McCullough MF, Yaniv Z, Wood BJ, Cleary K (2005) Precision targeting of liver lesions using a novel electromagnetic navigation device in physiologic phantom and swine. Med Phys 32:2698\u20132705. https:\/\/doi.org\/10.1118\/1.1992267","journal-title":"Med Phys"},{"key":"2676_CR13","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1177\/0954411919832042","volume":"233","author":"Z Zhao","year":"2019","unstructured":"Zhao Z, Jordan S, Tse ZTH (2019) Devices for image-guided lunginterventions: state-of-the-art review. J Eng Med 233:444\u2013463. https:\/\/doi.org\/10.1177\/0954411919832042","journal-title":"J Eng Med"},{"key":"2676_CR14","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1007\/s11548-013-0816","volume":"8","author":"RF Grasso","year":"2013","unstructured":"Grasso RF, Faiella E, Luppi G, Schena E, Giurazza F, Vescovo RD, D\u2019Agostino F, Cazzato RL, Zobel BB (2013) Percutaneous lung biopsy: comparison between an augmented reality CT navigation system and standard CT-guided technique. Int J Comput Assist Radiol Surg 8:837\u2013848. https:\/\/doi.org\/10.1007\/s11548-013-0816","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2676_CR15","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1093\/icvts\/ivw136","volume":"23","author":"J M\u00fcller","year":"2016","unstructured":"M\u00fcller J, Putora PM, Schneider T, Zeiseld C, Brutschec M, Batyc F, Markuse A, Kick J (2016) Handheld single photon emission computed tomography (handheld SPECT) navigated video-assisted thoracoscopic surgeryof computer tomography-guided radioactively markedpulmonary lesions. Interact Cardiovasc Thorac Surg 23:345\u2013350. https:\/\/doi.org\/10.1093\/icvts\/ivw136","journal-title":"Interact Cardiovasc Thorac Surg"},{"key":"2676_CR16","doi-asserted-by":"publisher","unstructured":"Nagel M,\u00a0Hoheisel M,\u00a0Bill U,\u00a0Klingenbeck-Regn K,\u00a0Kalender WA,\u00a0Petzold R (2008) Electromagnetic tracking system for minimal invasive interventions using a C-arm system with CT option: first clinical results. In: Proceedings of the medical imaging 2008: visualization,image-guided procedures, and modeling, San Diego, CA,24 Bellingham, WA: SPIE. 6918. https:\/\/doi.org\/10.1117\/12.769408","DOI":"10.1117\/12.769408"},{"key":"2676_CR17","doi-asserted-by":"publisher","first-page":"76","DOI":"10.12865\/CHSJ.42.01.11","volume":"42","author":"LG Gruionu","year":"2016","unstructured":"Gruionu LG, Saftoiu A, Popa T, Ciobrc C, Streba CT, Ioncic AM, Gruionu G (2016) Feasibility study of a novel navigation system for biopsy of peripheral lesions in the lungs. Curr Health Sci J 42:76\u201381. https:\/\/doi.org\/10.12865\/CHSJ.42.01.11","journal-title":"Curr Health Sci J"},{"key":"2676_CR18","doi-asserted-by":"publisher","first-page":"1431","DOI":"10.1007\/s11548-015-1326-7","volume":"11","author":"H Sorger","year":"2016","unstructured":"Sorger H, Hofstad EF, Amundsen T, Lango T, Leira H (2016) A novel platform for electromagnetic navigated ultrasound bronchoscopy (EBUS). Int J Comput Assist Radiol Surg 11:1431\u20131443. https:\/\/doi.org\/10.1007\/s11548-015-1326-7","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2676_CR19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0171841","volume":"12","author":"H Sorger","year":"2017","unstructured":"Sorger H, Hofstad EF, Amundsen T, Lango T, Bakeng JBL, Leira HO (2017) A multimodal image guiding system for navigated ultrasound bronchoscopy (EBUS): a human feasibility study. PLoS ONE 12:e0171841. https:\/\/doi.org\/10.1371\/journal.pone.0171841","journal-title":"PLoS ONE"},{"key":"2676_CR20","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.compmedimag.2012.03.002","volume":"36","author":"TC He","year":"2012","unstructured":"He TC, Xue Z, Lu K, Alvaradoa MVY, Wong KK, Xie WX, Wong ST (2012) A minimally invasive multi-modality image-guided (MIMIG) system for peripheral lung cancer intervention and diagnosis. Comput Med Imaging Graph 36:345\u2013355. https:\/\/doi.org\/10.1016\/j.compmedimag.2012.03.002","journal-title":"Comput Med Imaging Graph"},{"key":"2676_CR21","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.media.2012.09.005","volume":"17","author":"JR McClelland","year":"2013","unstructured":"McClelland JR, Hawkes DJ, Schaeffter T, King AP (2013) Respiratory motion models: a review. Med Image Anal 17:19\u201342. https:\/\/doi.org\/10.1016\/j.media.2012.09.005","journal-title":"Med Image Anal"},{"key":"2676_CR22","doi-asserted-by":"publisher","first-page":"4273","DOI":"10.1088\/1361-6560\/aa6070","volume":"62","author":"JR McClelland","year":"2017","unstructured":"McClelland JR, Modat M, Arridge S, Grimes H, Souza DD, Thomas D, Connell DO, Low DA, Kaza E, Collins DJ, Leach MO, Hawkes DJ (2017) A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images. Phys Med Biol 62:4273. https:\/\/doi.org\/10.1088\/1361-6560\/aa6070","journal-title":"Phys Med Biol"},{"key":"2676_CR23","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1007\/978-3-642-15711-0_41","volume":"6363","author":"T Klinder","year":"2010","unstructured":"Klinder T, Lorenz C, Ostermann J (2010) Prediction framework for statistical respiratory motion modeling. MICCAI 2010. Part III LNCS 6363:327\u2013334. https:\/\/doi.org\/10.1007\/978-3-642-15711-0_41","journal-title":"Part III LNCS"},{"key":"2676_CR24","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1109\/TMI.2010.2076299","volume":"30","author":"J Ehrhardt","year":"2011","unstructured":"Ehrhardt J, Werner R, Schmidt-Richberg A, Handels H (2011) Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration. IEEE Trans Med Imag 30:251. https:\/\/doi.org\/10.1109\/TMI.2010.2076299","journal-title":"IEEE Trans Med Imag"},{"key":"2676_CR25","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1007\/978-3-642-23623-5_67","volume":"6891","author":"G Wu","year":"2011","unstructured":"Wu G, Wang Q, Lian J, Shen D (2011) Estimating the 4D respiratory lung motion by spatiotemporal registration and building super-resolution image. MICCAI 2011. Part I LNCS 6891:532\u2013539. https:\/\/doi.org\/10.1007\/978-3-642-23623-5_67","journal-title":"Part I LNCS"},{"key":"2676_CR26","doi-asserted-by":"publisher","first-page":"4772","DOI":"10.1118\/1.2804576","volume":"34","author":"QH Zhang","year":"2007","unstructured":"Zhang QH, Pevsner A, Hertanto A, Hu YC, Rosenzweig KE, Ling CC, Mageras GS (2007) A patient-specific respiratory model of anatomical motion for radiation treatment planning. Med Phys 34:4772\u20134781. https:\/\/doi.org\/10.1118\/1.2804576","journal-title":"Med Phys"},{"issue":"6","key":"2676_CR27","doi-asserted-by":"publisher","first-page":"3386","DOI":"10.1118\/1.4718578","volume":"39","author":"H Fayad","year":"2012","unstructured":"Fayad H, Pan T, Pradier O, Visvikis D (2012) Patient specific respiratory motion modeling using a 3D patient\u2019s external surface. Med Phys 39(6):3386\u20133395. https:\/\/doi.org\/10.1118\/1.4718578","journal-title":"Med Phys"},{"key":"2676_CR28","doi-asserted-by":"publisher","first-page":"e321","DOI":"10.1259\/bjr.20200047","volume":"108","author":"JH Chung","year":"2020","unstructured":"Chung JH, Chun M, Ji K, Park JM, Shin KH (2020) Three-dimensional versus four-dimensional dose calculation for breast intensity-modulated radiation therapy. BJR 108:e321\u2013e322. https:\/\/doi.org\/10.1259\/bjr.20200047","journal-title":"BJR"},{"key":"2676_CR29","doi-asserted-by":"publisher","first-page":"173 181","DOI":"10.1093\/jrr\/rrx098","volume":"59","author":"M Nakamura","year":"2018","unstructured":"Nakamura M, Ishihara Y, Matsuo Y, Iizuka Y, Ueki N, Iramina H, Hirashima H, Mizowaki T (2018) Quantification of the kV X-ray imaging dose during real-time tumor tracking and from three- and four-dimensional cone-beam computed tomography in lung cancer patients using a Monte Carlo simulation. J Radiat Res 59:173 181. https:\/\/doi.org\/10.1093\/jrr\/rrx098","journal-title":"J Radiat Res"},{"key":"2676_CR30","unstructured":"Ib\u00e1\u00f1ez L, Schroeder W, Ng, L, Cates J. and the Insight Software Consortium (2003) The ITK Software Guide. http:\/\/www.itk.org"},{"key":"2676_CR31","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/978-3-642-15711-0_49","volume":"6363","author":"TC He","year":"2010","unstructured":"He TC, Xue Z, Xie WX, Wong STC (2010) Online 4-D CT estimation for patient-specific respiratory motion based on real-time breathing signals. MICCAI Part III 6363:392\u2013399. https:\/\/doi.org\/10.1007\/978-3-642-15711-0_49","journal-title":"MICCAI Part III"},{"key":"2676_CR32","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1007\/978-3-319-10470-6_18","volume":"8674","author":"TC He","year":"2014","unstructured":"He TC, Xue Z, Yu N, Nitsch PL, Teh BS, Wong STC (2014) Estimating dynamic lung images from high-dimension chest surface motion using 4D statistical model. MICCAI Part II 8674:138\u2013145. https:\/\/doi.org\/10.1007\/978-3-319-10470-6_18","journal-title":"MICCAI Part II"},{"key":"2676_CR33","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/4382854","author":"ZC Zhong","year":"2016","unstructured":"Zhong ZC, Guo XH, Cai YQ, Yang Y, Wang J, Jia X, Mao W (2016) 3D\u20132D deformable image registration using feature-based nonuniform meshes. Biomed Res Int. https:\/\/doi.org\/10.1155\/2016\/4382854","journal-title":"Biomed Res Int"},{"key":"2676_CR34","doi-asserted-by":"publisher","first-page":"711","DOI":"10.3934\/mbe.2007.4.711","volume":"4","author":"D Paquin","year":"2007","unstructured":"Paquin D, Levy D, Xing L (2007) Hybrid multiscale landmark and deformable image registration. Math Biosci Eng 4:711\u2013737. https:\/\/doi.org\/10.3934\/mbe.2007.4.711","journal-title":"Math Biosci Eng"},{"key":"2676_CR35","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1117\/12.2006356","volume":"8669","author":"J Kr\u00fcger","year":"2013","unstructured":"Kr\u00fcger J, Ehrhardt J, Bischof A, Handels H (2013) Breast compression simulation using ICP-based B-spline deformation for correspondence analysis in mammography and MRI datasets. SPIE Medical Imaging. Int Soc Optics Photonics 8669:372\u2013379. https:\/\/doi.org\/10.1117\/12.2006356","journal-title":"Int Soc Optics Photonics"},{"key":"2676_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2003.09.004","author":"AW Fitzgibbon","year":"2003","unstructured":"Fitzgibbon AW (2003) Robust registration of 2D and 3D point sets. British Mach Vision Conf. https:\/\/doi.org\/10.1016\/j.imavis.2003.09.004","journal-title":"British Mach Vision Conf"},{"issue":"8","key":"2676_CR37","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert D, Sonoda LI, Hayes C, Hill DLG, Leach MO, Hawkes DJ (1999) Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 18(8):712\u2013721. https:\/\/doi.org\/10.1109\/42.796284","journal-title":"IEEE Trans Med Imaging"},{"key":"2676_CR38","doi-asserted-by":"publisher","first-page":"4755","DOI":"10.1118\/1.3223631","volume":"36","author":"S Nithiananthan","year":"2009","unstructured":"Nithiananthan S, Brock KK, Daly MJ, Chan H, Irish JC, Siewerdsen JH (2009) Demons deformable registration for CBCT-guided procedures in the head and neck: Convergence and accuracy. Med Phys 36:4755\u20134764. https:\/\/doi.org\/10.1118\/1.3223631","journal-title":"Med Phys"},{"key":"2676_CR39","doi-asserted-by":"publisher","first-page":"4951","DOI":"10.1088\/0031-9155\/58\/14\/4951","volume":"58","author":"S Reaungamornrat","year":"2013","unstructured":"Reaungamornrat S, Liu WP, Wang AS, Otake Y, Nithiananthan S, Uneri A, Schafer S, Tryggestad E, Richmon J, Sorger JM (2013) Deformable image registration for cone-beam CT guided transoral robotic base-of-tongue surgery. Phys Med Biol 58:4951\u20134979. https:\/\/doi.org\/10.1088\/0031-9155\/58\/14\/4951","journal-title":"Phys Med Biol"},{"key":"2676_CR40","doi-asserted-by":"publisher","unstructured":"Fayad HJ, Bakhous C, Pan T, Visvikis D (2012) Optical flow vs bspline image registration for respiratory motion modeling. In: Nuclear science symposium and medical imaging conference (NSS\/MIC), IEEE. https:\/\/doi.org\/10.1109\/NSSMIC.2012.6551898","DOI":"10.1109\/NSSMIC.2012.6551898"},{"key":"2676_CR41","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1118\/1.2839103","volume":"35","author":"V Boldea","year":"2008","unstructured":"Boldea V, Sharp GC, Jiang SB, Sarrut D (2008) 4D-CT lung motion estimation with deformable registration: quantification of motion nonlinearity and hysteresis. Med Phys 35:1008\u20131018. https:\/\/doi.org\/10.1118\/1.2839103","journal-title":"Med Phys"},{"key":"2676_CR42","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1118\/1.2161409","volume":"33","author":"D Sarrut","year":"2006","unstructured":"Sarrut D, Boldea V, Miguet S, Ginestet C (2006) Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans. Med Phys 33:605\u2013617. https:\/\/doi.org\/10.1118\/1.2161409","journal-title":"Med Phys"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-022-02676-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-022-02676-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-022-02676-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:16:16Z","timestamp":1662992176000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-022-02676-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,31]]},"references-count":42,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["2676"],"URL":"https:\/\/doi.org\/10.1007\/s11548-022-02676-2","relation":{},"ISSN":["1861-6429"],"issn-type":[{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,31]]},"assertion":[{"value":"7 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 May 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Retrospective study: For this type of study formal consent is not required.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}}]}}