{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T16:10:40Z","timestamp":1720282240679},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"JSPS KAKENHI","award":["24300158"]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computerized Medical Imaging and Graphics"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1016\/j.compmedimag.2020.101746","type":"journal-article","created":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T01:45:45Z","timestamp":1593654345000},"page":"101746","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["A penalized spline fitting method to optimize geometric parameters of arterial centerlines extracted from medical images"],"prefix":"10.1016","volume":"84","author":[{"given":"Masaharu","family":"Kobayashi","sequence":"first","affiliation":[]},{"given":"Katsuyuki","family":"Hoshina","sequence":"additional","affiliation":[]},{"given":"Youkou","family":"Nemoto","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Takagi","sequence":"additional","affiliation":[]},{"given":"Masaaki","family":"Shojima","sequence":"additional","affiliation":[]},{"given":"Motoharu","family":"Hayakawa","sequence":"additional","affiliation":[]},{"given":"Shigeki","family":"Yamada","sequence":"additional","affiliation":[]},{"given":"Marie","family":"Oshima","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compmedimag.2020.101746_bib0005","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.jvs.2008.02.003","article-title":"Outcomes following endovascular abdominal aortic aneurysm repair (evar): an anatomic and device-specific analysis","volume":"48","author":"Abbruzzese","year":"2008","journal-title":"J. Vasc. Surg."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0010","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.jvs.2009.04.061","article-title":"The correlation of aortic neck length to early and late outcomes in endovascular aneurysm repair patients","volume":"50","author":"AbuRahma","year":"2009","journal-title":"J. Vasc. Surg."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0015","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Trans. Autom. Control"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0020","series-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"Bishop","year":"2006"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0025","first-page":"425","article-title":"Segments of the internal carotid artery: a new classification","volume":"38","author":"Bouthillier","year":"1996","journal-title":"Neurosurgery"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0030","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1198\/106186007X208768","article-title":"Spatially adaptive bayesian penalized splines with heteroscedastic errors","volume":"16","author":"Crainiceanu","year":"2007","journal-title":"J. Comput. Graph. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0035","first-page":"149","article-title":"Twenty years of p-splines","volume":"39","author":"Eilers","year":"2015","journal-title":"SORT (Stat. Oper. Res. Trans.)"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0040","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1214\/ss\/1038425655","article-title":"Flexible smoothing with b-splines and penalties","author":"Eilers","year":"1996","journal-title":"Stat. Sci."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0045","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1002\/wics.125","article-title":"Splines, knots, and penalties","volume":"2","author":"Eilers","year":"2010","journal-title":"WIREs Comput. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0050","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/00401706.1989.10488470","article-title":"Flexible parsimonious smoothing and additive modeling","volume":"31","author":"Friedman","year":"1989","journal-title":"Technometrics"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0055","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1016\/S0140-6736(04)16979-1","article-title":"Comparison of endovascular aneurysm repair with open repair in patients with abdominal aortic aneurysm (evar trial 1), 30-day operative mortality results: randomised controlled trial","volume":"364","author":"Greenhalgh","year":"2004","journal-title":"Lancet"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0060","series-title":"Generalized Additive Models, Volume 43 of Monographs on Statistics and Applied Probability","author":"Hastie","year":"1990"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0065","doi-asserted-by":"crossref","first-page":"1996","DOI":"10.1253\/circj.CJ-13-0204","article-title":"Outcomes and morphologic changes after endovascular repair for abdominal aortic aneurysms with a severely angulated neck","volume":"77","author":"Hoshina","year":"2013","journal-title":"Circ. J."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0070","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1056\/NEJMoa0909305","article-title":"Endovascular versus open repair of abdominal aortic aneurysm","volume":"362","author":"Investigators","year":"2010","journal-title":"N. Engl. J. Med."},{"issue":"1","key":"10.1016\/j.compmedimag.2020.101746_bib0075","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1253\/circj.CJ-17-0537","article-title":"Morphological changes and device migration after stent graft insertion\u3000\u2015 clinical application of an image-based modeling system and analysis with geometric parameters","volume":"82","author":"Nemoto","year":"2018","journal-title":"Circulation J."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0080","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1583\/10-3131MR.1","article-title":"Aortic neck angulations decrease during and after endovascular aneurysm repair","volume":"17","author":"van Keulen","year":"2010","journal-title":"J. Endovasc. Ther."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0085","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1253\/circj.CJ-15-0037","article-title":"Development of an image-based modeling system to investigate evolutional geometric changes of a stent graft in an abdominal aortic aneurysm","volume":"79","author":"Kobayashi","year":"2015","journal-title":"Circ. J."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0090","doi-asserted-by":"crossref","first-page":"3018","DOI":"10.1016\/j.jbiomech.2014.06.042","article-title":"Curvature effect on hemodynamic conditions at the inner bend of the carotid siphon and its relation to aneurysm formation","volume":"47","author":"Lauric","year":"2014","journal-title":"J. Biomech."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0095","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/01621459.1997.10473607","article-title":"Hybrid adaptive splines","volume":"92","author":"Luo","year":"1997","journal-title":"J. Am. Stat. Assoc."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0100","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1007\/s10439-010-9925-5","article-title":"Geometric variability of the abdominal aorta and its major peripheral branches","volume":"38","author":"O\u2019Flynn","year":"2010","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0105","doi-asserted-by":"crossref","first-page":"1368","DOI":"10.1007\/s10439-007-9307-9","article-title":"Methods for three-dimensional geometric characterization of the arterial vasculature","volume":"35","author":"O\u2019Flynn","year":"2007","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0110","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1214\/ss\/1177013525","article-title":"A statistical perspective on ill-posed inverse problems","author":"O\u2019Sullivan","year":"1986","journal-title":"Stat. Sci."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0115","series-title":"The Nurbs Book. 1997. Monographs in Visual Communication","author":"Piegl","year":"1997"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0120","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/BF02162161","article-title":"Smoothing by spline functions","volume":"10","author":"Reinsch","year":"1967","journal-title":"Numer. Math."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0125","series-title":"An Introduction to nurbs: with Historical Perspective","author":"Rogers","year":"2001"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0130","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1111\/1467-842X.00119","article-title":"Theory & methods: spatially-adaptive penalties for spline fitting","volume":"42","author":"Ruppert","year":"2000","journal-title":"Aust. N. Z. J. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0135","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1214\/09-EJS525","article-title":"Semiparametric regression during 2003\u20132007","volume":"3","author":"Ruppert","year":"2009","journal-title":"Electron. J. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0140","series-title":"Semiparametric Regression. Cambridge Series in Statistical and Probabilistic Mathematics","author":"Ruppert","year":"2003"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0145","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1111\/j.1467-9876.2008.00653.x","article-title":"Efficient estimation of three-dimensional curves and their derivatives by free-knot regression splines, applied to the analysis of inner carotid artery centrelines","volume":"58","author":"Sangalli","year":"2009","journal-title":"J. R. Stat. Soc.: Ser. C (Appl. Stat.)"},{"key":"10.1016\/j.compmedimag.2020.101746_bib0150","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1214\/aos\/1176345632","article-title":"Estimation of the mean of a multivariate normal distribution","author":"Stein","year":"1981","journal-title":"Ann. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0155","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1067\/mva.2002.119506","article-title":"Aortic neck angulation predicts adverse outcome with endovascular abdominal aortic aneurysm repair","volume":"35","author":"Sternbergh","year":"2002","journal-title":"J. Vasc. Surg."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0160","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1007\/BF01437407","article-title":"Smoothing noisy data with spline functions","volume":"24","author":"Wahba","year":"1975","journal-title":"Numer. Math."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0165","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1111\/j.1467-842X.2008.00507.x","article-title":"On semiparametric regression with o'sullivan penalized splines","volume":"50","author":"Wand","year":"2008","journal-title":"Aust. N. Z. J. Stat."},{"key":"10.1016\/j.compmedimag.2020.101746_bib0170","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1198\/016214501750332820","article-title":"Spatially adaptive regression splines and accurate knot selection schemes","volume":"96","author":"Zhou","year":"2001","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Computerized Medical Imaging and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611120300495?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0895611120300495?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T14:26:33Z","timestamp":1599488793000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0895611120300495"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":34,"alternative-id":["S0895611120300495"],"URL":"https:\/\/doi.org\/10.1016\/j.compmedimag.2020.101746","relation":{},"ISSN":["0895-6111"],"issn-type":[{"value":"0895-6111","type":"print"}],"subject":[],"published":{"date-parts":[[2020,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A penalized spline fitting method to optimize geometric parameters of arterial centerlines extracted from medical images","name":"articletitle","label":"Article Title"},{"value":"Computerized Medical Imaging and Graphics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compmedimag.2020.101746","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"101746"}}