{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T16:11:51Z","timestamp":1746115911746,"version":"3.40.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2013,11,6]],"date-time":"2013-11-06T00:00:00Z","timestamp":1383696000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2014,6]]},"DOI":"10.1007\/s10278-013-9646-z","type":"journal-article","created":{"date-parts":[[2013,11,5]],"date-time":"2013-11-05T20:33:45Z","timestamp":1383683625000},"page":"351-368","source":"Crossref","is-referenced-by-count":0,"title":["Dual-pass Feature Extraction on Human Vessel Images"],"prefix":"10.1007","volume":"27","author":[{"given":"W.","family":"Hernandez","sequence":"first","affiliation":[]},{"given":"S.","family":"Grimm","sequence":"additional","affiliation":[]},{"given":"R.","family":"Andriantsimiavona","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,11,6]]},"reference":[{"key":"9646_CR1","doi-asserted-by":"crossref","unstructured":"Abdel-Dayem AR: Detection of arterial lumen in sonographic images based on active contours and diffusion filters. In: Proceedings of the 7th International Conference on Image Analysis and Recognition - Volume Part II, ICIAR\u201910. Springer-Verlag, Berlin, 2010, pp 120\u2013130","DOI":"10.1007\/978-3-642-13775-4_13"},{"key":"9646_CR2","doi-asserted-by":"crossref","unstructured":"Aylward S, Pizer S, Eberly D, Bullitt E: Intensity ridge and widths for tubular object segmentation and description. In: Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA \u201996). IEEE Computer Society, Washington, DC, USA, 1996, pp 131\u2013138","DOI":"10.1109\/MMBIA.1996.534065"},{"key":"9646_CR3","doi-asserted-by":"crossref","unstructured":"Baltaxe Milwer M, Fl\u00f3rez Valencia L, Hern\u00e1ndez Hoyos M, Magnin I, Orkisz M: Fast marching contours for the segmentation of vessel lumen in CTA cross-sections. In: Conference Proceedings IEEE Engineering Medicine Biology and Society. IEEE, IEEE, Lyon, France, 2007, pp 791\u2013794","DOI":"10.1109\/IEMBS.2007.4352409"},{"key":"9646_CR4","doi-asserted-by":"crossref","unstructured":"Bitter I, Kaufman AE, Sato M: Penalized-distance volumetric skeleton algorithm. IEEE Trans Vis Comput Graph 7(3):195\u2013206, 2001","DOI":"10.1109\/2945.942688"},{"key":"9646_CR5","doi-asserted-by":"crossref","unstructured":"Bladin C, Alexandrov A, Murphy J, Maggisano R: Carotid stenosis index. a new method of measuring internal carotid artery stenosis. In: 19th International Conference on Stroke and the Cerebral Circulation. American Heart Association, San Diego, USA, 1995, pp 230\u2013234","DOI":"10.1161\/01.STR.26.2.230"},{"key":"9646_CR6","doi-asserted-by":"crossref","unstructured":"Boskamp T, Rinck D, Link F, K\u00fcmmerlen B, Stamm G, Mildenberger P: New vessel analysis tool for morphometric quantification and visualization of vessels in ct and mr imaging data sets. Radiographics 24(1):287\u2013297, 2004","DOI":"10.1148\/rg.241035073"},{"key":"9646_CR7","unstructured":"Buhler K, Felkel P, Cruz A: Geometric methods for vessel visualization and quantification - a survey. Vienna: Tech. Rep. 035, VRVis Research Center, 2002"},{"key":"9646_CR8","doi-asserted-by":"crossref","unstructured":"Canny J: A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679\u2013698, 1986","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"9646_CR9","doi-asserted-by":"crossref","unstructured":"Fl\u00f3rez L, Azencot J, Maciej O: Algorithm for blood-vessel segmentation in 3d images based on a right generalized cylinder model: application to carotid arteries. In: Proceedings of the 2010 International Conference on Computer Vision and Graphics: Part I, ICCVG\u201910. Springer-Verlag, Berlin, 2010, pp 27\u201334","DOI":"10.1007\/978-3-642-15910-7_4"},{"key":"9646_CR10","doi-asserted-by":"crossref","unstructured":"Frangi A, Niessen W, Hoogeveen R, van Walsum T, Viergever M: Model-based quantitation of 3-d magnetic resonance angiographic images. IEEE Trans Med Imaging 18(10):946\u2013956, 1999","DOI":"10.1109\/42.811279"},{"key":"9646_CR11","doi-asserted-by":"crossref","unstructured":"Geiger D, Gupta A, Costa LA, Vlontzos J: Dynamic programming for detecting, tracking, and matching deformable contours. IEEE Trans Pattern Anal Mach Intell 17:294\u2013302, 1995","DOI":"10.1109\/34.368194"},{"key":"9646_CR12","doi-asserted-by":"crossref","unstructured":"Kanitsar A, Fleischmann D, Wegenkittl R, Felkel P, Gr\u00f6ller E: CPR\u2014curved planar reformation. In: IEEE Visualization, 2002, pp 37\u201344","DOI":"10.1109\/VISUAL.2002.1183754"},{"key":"9646_CR13","doi-asserted-by":"crossref","unstructured":"Kirbas C, Quek F: A review of vessel extraction techniques and algorithms. ACM Comput Surv 36(2):81\u2013121, 2004","DOI":"10.1145\/1031120.1031121"},{"key":"9646_CR14","doi-asserted-by":"crossref","unstructured":"Lesage D, Angelini E, Bloch I, Funka-Lea G: A review of 3d vessel lumen segmentation techniques: models, features and extraction schemes. Med Image Anal 13(6):819\u2013845, 2009","DOI":"10.1016\/j.media.2009.07.011"},{"key":"9646_CR15","doi-asserted-by":"crossref","unstructured":"Manniesing R, Viergever MA, Niessen WJ: Vessel enhancing diffusion: a scale space representation of vessel structures. Med Image Anal 10(6):815\u2013825, 2006","DOI":"10.1016\/j.media.2006.06.003"},{"key":"9646_CR16","doi-asserted-by":"crossref","unstructured":"McInerney T, Terzopoulos D: Deformable models in medical image analysis: a survey. Med Image Anal 1:91\u2013108, 1996","DOI":"10.1016\/S1361-8415(96)80007-7"},{"key":"9646_CR17","doi-asserted-by":"crossref","unstructured":"Mille J, Cohen LD: Deformable tree models for 2d and 3d branching structures extraction. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009, pp 149\u2013156","DOI":"10.1109\/CVPR.2009.5204049"},{"key":"9646_CR18","doi-asserted-by":"crossref","unstructured":"Mortensen J, Talbot S, Burkart J: Cross-sectional internal diameters of human cervical and femoral blood vessels: relationship to subject\u2019s sex, age, body size. Anat Rec 226:115\u2013124, 1990","DOI":"10.1002\/ar.1092260114"},{"key":"9646_CR19","unstructured":"Prewitt JMS: Object enhancement and extraction. In: Picture Processing and Psychopictorics, 1970, pp 75\u2013149"},{"key":"9646_CR20","doi-asserted-by":"crossref","unstructured":"Rivest-Henault D, Cheriet M, Deschenes S, Lapierre C: Length increasing active contour for the segmentation of small blood vessels. In: Proceedings of the 2010 20th International Conference on Pattern Recognition, ICPR \u201910. IEEE Computer Society, Washington, DC, USA, 2010, pp 2796\u20132799","DOI":"10.1109\/ICPR.2010.685"},{"key":"9646_CR21","doi-asserted-by":"crossref","unstructured":"Savchenko V, Pasko EA, Okunev OG, Kunii TL: Function representation of solids reconstructed from scattered surface points and contours. Comput Graph Forum 14:181\u2013188, 1995","DOI":"10.1111\/1467-8659.1440181"},{"key":"9646_CR22","doi-asserted-by":"crossref","unstructured":"Sekiguchi H, Sugimoto N, Eiho S, Hanakawa T, Urayama S: Blood vessel segmentation for head MRA using branch-based region growing. Syst Comput Japan 36(5):80\u201388, 2005","DOI":"10.1002\/scj.20166"},{"key":"9646_CR23","doi-asserted-by":"crossref","unstructured":"Sethian JA: Theory, algorithms, and applications of level set methods for propagating interfaces. Acta Numerica 5:309\u2013395, 1996","DOI":"10.1017\/S0962492900002671"},{"key":"9646_CR24","first-page":"26","volume":"6","author":"B Smith","year":"1976","unstructured":"Smith B, Boyle J, Dongarra J, Garbow B, Ikebe Y, Klema V, Moler C: Matrix eigensystem routines\u2014EISPACK guide. Lect Notes Comput Sci 6:26\u201327, 1976","journal-title":"Lect Notes Comput Sci"},{"key":"9646_CR25","unstructured":"Sobel I, Feldman G: A 3 \u00d7 3 $3\\times 3$ isotropic gradient operator for image processing (1973). In: Duda R, Hart P Eds. Presented at a talk at the Stanford Artificial Project in 1968, unpublished but often cited, orig. in Pattern Classification and Scene Analysis. Wiley, 1973, pp 271\u2013272"},{"key":"9646_CR26","unstructured":"Stricker M: A new approach for robust ellipse fitting. In: International Conference on Automation, Robotics and Computer Vision\u2013ICARCV 1994, vol 2, 1994, pp 940\u2013945"},{"key":"9646_CR27","unstructured":"Sutton D: Texbook of Radiology and Imaging, 7th edition Churchill Livingstone, 2002, pp 265\u2013509"},{"key":"9646_CR28","doi-asserted-by":"crossref","unstructured":"Vukadinovic D, van Walsum T, Manniesing R, Rozie S, Hameeteman R, de Weert T, van der Lugt A, Niessen WJ: Segmentation of the outer vessel wall of the common carotid artery in CTA. IEEE Trans Med Imaging 29(1):65\u201376, 2010","DOI":"10.1109\/TMI.2009.2025702"},{"key":"9646_CR29","unstructured":"World Health Organization: Fact sheet no.317, 2013. Website http:\/\/www.who.int\/mediacentre\/factsheets\/fs317\/en\/index.html"},{"key":"9646_CR30","unstructured":"Xavier RT, Orriols X, Radeva P, Binefa X, Vitri\u00e0 J, Ca\u00f1ero, C, Villanueva JJ: Eigensnakes for vessel segmentation in angiography. In: International Conference on Pattern Recognition. IEEE, 2000, pp 340\u2013343"},{"key":"9646_CR31","unstructured":"Zimmermann K, Svoboda T: Approximation of euclidean distance between point from ellipse. Research Report CTU\u2013CMP\u20132005\u201323. Center for Machine Perception, vol K13133. FEE Czech Technical University, Prague, Czech Republic, 2005"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-013-9646-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-013-9646-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-013-9646-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T19:35:41Z","timestamp":1746041741000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-013-9646-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11,6]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["9646"],"URL":"https:\/\/doi.org\/10.1007\/s10278-013-9646-z","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"type":"print","value":"0897-1889"},{"type":"electronic","value":"1618-727X"}],"subject":[],"published":{"date-parts":[[2013,11,6]]}}}