{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T20:50:56Z","timestamp":1761252656067,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540204626"},{"type":"electronic","value":"9783540398998"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/978-3-540-39899-8_83","type":"book-chapter","created":{"date-parts":[[2010,9,4]],"date-time":"2010-09-04T02:40:54Z","timestamp":1283568054000},"page":"680-687","source":"Crossref","is-referenced-by-count":5,"title":["Statistical-Based Approach for Extracting 3D Blood Vessels from TOF-MyRA Data"],"prefix":"10.1007","author":[{"given":"M. Sabry","family":"Hassouna","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aly A.","family":"Farag","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen","family":"Hushek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Moriarty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"83_CR1","unstructured":"Potchen, J.E., et al.: Magnetic Resonance Angiography: Concepts and Applications. St. Louis, MO; Mosby (1993)"},{"key":"83_CR2","doi-asserted-by":"crossref","first-page":"181","DOI":"10.3233\/THC-1993-1209","volume":"1","author":"P. Reuz\u00e9","year":"1993","unstructured":"Reuz\u00e9, P., et al.: A 3-D moment based approach for blood vessel detection and quantification in MRA. Technol. Health Care\u00a01, 181\u2013188 (1993)","journal-title":"Technol. Health Care"},{"key":"83_CR3","unstructured":"Hernandez-Hoyos, M., et al.: Inertia based vessel axis extraction and stenosis quantification in 3D MRA images. CARS, 180\u2013193 (1999)"},{"key":"83_CR4","unstructured":"Verdonck, B., et al.: A New System for Blood Vessel Segmentation and Visualization in 3D MR and Spiral CT Angiography. CARS, 177\u2013182 (1995)"},{"issue":"2","key":"83_CR5","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/S1361-8415(98)80009-1","volume":"2","author":"Y. Sato","year":"1998","unstructured":"Sato, Y., et al.: Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical Image Analysis\u00a02(2), 143\u2013168 (1998)","journal-title":"Medical Image Analysis"},{"issue":"3","key":"83_CR6","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/S1361-8415(01)00038-X","volume":"5","author":"N. Flasque","year":"2001","unstructured":"Flasque, N., et al.: Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images. Med. Image Anal.\u00a05(3), 173\u2013183 (2001)","journal-title":"Med. Image Anal."},{"key":"83_CR7","doi-asserted-by":"crossref","unstructured":"Lorigo, L.M., et al.: Co-dimension 2 geodesic active Contours for MRA segmentation. In: Kuba, A. (ed.) Proc. Int. Conf. on Information Processing in Med, pp. 126\u2013139 (1999)","DOI":"10.1007\/3-540-48714-X_10"},{"key":"83_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1007\/978-3-540-40899-4_27","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2000","author":"C.F. Westin","year":"2000","unstructured":"Westin, C.F., Lorigo, L.M., et al.: Segmentation by adaptive geodesic active contours. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol.\u00a01935, pp. 266\u2013275. Springer, Heidelberg (2000)"},{"issue":"10","key":"83_CR9","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1109\/42.811277","volume":"18","author":"D. Wilson","year":"1999","unstructured":"Wilson, D., Noble, J.: An adaptive segmentation algorithm for time-of-flight MRA data. IEEE Trans. Med. Imaging\u00a018(10), 938\u2013945 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"83_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/10704282_9","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI\u201999","author":"A.C.S. Chung","year":"1999","unstructured":"Chung, A.C.S., Noble, J.: Statistical 3D vessel segmentation using a rician distribution. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol.\u00a01679, pp. 82\u201389. Springer, Heidelberg (1999)"},{"key":"83_CR11","unstructured":"Mohamed Sabry, A.A., Farag, S.: Statistical Cerebrovascular Segmentation for Phase-Contrast MRA Data. In: Annual Conference on Biomedical Engineering, pp. 32\u201337 (2002); Egypt."},{"issue":"2","key":"83_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S1361-8415(02)00057-9","volume":"6","author":"A.C.S. Chung","year":"2002","unstructured":"Chung, A.C.S., et al.: Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms. Medical Image Analysis\u00a06(2), 109\u2013128 (2002)","journal-title":"Medical Image Analysis"},{"issue":"1","key":"83_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"P. Dempster","year":"1977","unstructured":"Dempster, P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B\u00a039(1), 1\u201338 (1977)","journal-title":"J. R. Statist. Soc. B"},{"key":"83_CR14","series-title":"Wiley Series in Probability and Statistics","volume-title":"The EM Algorithm and Extensions","author":"G.J. MacLachlan","year":"1997","unstructured":"MacLachlan, G.J., Krishnan, T.: The EM Algorithm and Extensions. Wiley Series in Probability and Statistics. John Wiley and Sons, Chichester (1997)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-39899-8_83","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T14:37:01Z","timestamp":1740494221000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-39899-8_83"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540204626","9783540398998"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-39899-8_83","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2003]]}}}