{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:40:41Z","timestamp":1725745241325},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642403941"},{"type":"electronic","value":"9783642403958"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40395-8_2","type":"book-chapter","created":{"date-parts":[[2013,8,16]],"date-time":"2013-08-16T05:51:32Z","timestamp":1376632292000},"page":"12-25","source":"Crossref","is-referenced-by-count":5,"title":["Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets"],"prefix":"10.1007","author":[{"given":"Jing","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Eranga","family":"Ukwatta","sequence":"additional","affiliation":[]},{"given":"Wu","family":"Qiu","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Rajchl","sequence":"additional","affiliation":[]},{"given":"Yue","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Xue-Cheng","family":"Tai","sequence":"additional","affiliation":[]},{"given":"Aaron","family":"Fenster","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"1","key":"2_CR1","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3322\/caac.20138","volume":"62","author":"R. Siegel","year":"2012","unstructured":"Siegel, R., Naishadham, D., Jemal, A.: Cancer statistics, 2012. CA: A Cancer Journal for Clinicians\u00a062(1), 10\u201329 (2012)","journal-title":"CA: A Cancer Journal for Clinicians"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Leslie, S., Goh, A., Lewandowski, P.M., Huang, E.Y.H., de Castro Abreu, A.L., Berger, A.K., Ahmadi, H., Jayaratna, I., Shoji, S., Gill, I.S., Ukimura, O.: 2050 contemporary image-guided targeted prostate biopsy better characterizes cancer volume, gleason grade and its 3d location compared to systematic biopsy. The Journal of Urology 187(4, suppl.), e827 (2012)","DOI":"10.1016\/j.juro.2012.02.2215"},{"issue":"5","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1109\/TBME.2010.2053540","volume":"59","author":"S. Doyle","year":"2012","unstructured":"Doyle, S., Feldman, M.D., Tomaszewski, J., Madabhushi, A.: A boosted bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies. IEEE Trans. Biomed. Engineering\u00a059(5), 1205\u20131218 (2012)","journal-title":"IEEE Trans. Biomed. Engineering"},{"issue":"2","key":"2_CR4","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1148\/radiol.2342031887","volume":"234","author":"D. Beyersdorff","year":"2005","unstructured":"Beyersdorff, D., Winkel, A., Hamm, B., Lenk, S., Loening, S.A., Taupitz, M.: MR imaging-guided prostate biopsy with a closed MR unit at 1.5 T: initial results. Radiology\u00a0234(2), 576\u2013581 (2005)","journal-title":"Radiology"},{"issue":"3","key":"2_CR5","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.ejrad.2007.06.030","volume":"63","author":"G. Villeirs","year":"2007","unstructured":"Villeirs, G., De Meerleer, G.: Magnetic resonance imaging (mri) anatomy of the prostate and application of mri in radiotherapy planning. European Journal of Radiology\u00a063(3), 361\u2013368 (2007)","journal-title":"European Journal of Radiology"},{"issue":"3","key":"2_CR6","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1002\/pros.20881","volume":"69","author":"J. Haffner","year":"2009","unstructured":"Haffner, J., Potiron, E., Bouy\u00e9, S., Puech, P., Leroy, X., Lemaitre, L., Villers, A.: Peripheral zone prostate cancers: location and intraprostatic patterns of spread at histopathology. The Prostate\u00a069(3), 276\u2013282 (2009)","journal-title":"The Prostate"},{"issue":"1","key":"2_CR7","doi-asserted-by":"publisher","first-page":"91","DOI":"10.2214\/AJR.05.2198","volume":"188","author":"S. Reinsberg","year":"2007","unstructured":"Reinsberg, S., Payne, G., Riches, S., Ashley, S., Brewster, J., Morgan, V., et al.: Combined use of diffusion-weighted mri and 1h mr spectroscopy to increase accuracy in prostate cancer detection. American Journal of Roentgenology\u00a0188(1), 91\u201398 (2007)","journal-title":"American Journal of Roentgenology"},{"issue":"3","key":"2_CR8","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1002\/jmri.22075","volume":"31","author":"K. Kitajima","year":"2010","unstructured":"Kitajima, K., Kaji, Y., Fukabori, Y., Yoshida, K., Suganuma, N., Sugimura, K.: Prostate cancer detection with 3 t mri: Comparison of diffusion-weighted imaging and dynamic contrast-enhanced mri in combination with t2-weighted imaging. Journal of Magnetic Resonance Imaging\u00a031(3), 625\u2013631 (2010)","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Kirby, R., Gilling, P.: Fast facts: benign prostatic hyperplasia. Health Press Limited (2011)","DOI":"10.1159\/isbn.978-1-908541-00-0"},{"issue":"1","key":"2_CR10","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.cmpb.2012.04.006","volume":"108","author":"S. Ghose","year":"2012","unstructured":"Ghose, S., Oliver, A., Mart\u00ed, R., Llad\u00f3, X., Vilanova, J., Freixenet, J., Mitra, J., Sidib\u00e9, D., Meriaudeau, F.: A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images. Computer Methods and Programs in Biomedicine\u00a0108(1), 262\u2013287 (2012)","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"2_CR11","unstructured":"Allen, P., Graham, J., Williamson, D., Hutchinson, C.: Differential segmentation of the prostate in mr images using combined 3d shape modelling and voxel classification. In: 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 410\u2013413. IEEE (2006)"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Yin, Y., Fotin, S., Periaswamy, S., Kunz, J., Haldankar, H., Muradyan, N., Turkbey, B., Choyke, P.: Fully automated 3d prostate central gland segmentation in mr images: a logismos based approach. In: SPIE Medical Imaging, International Society for Optics and Photonics, pp. 83143B\u201383143B (2012)","DOI":"10.1117\/12.911778"},{"issue":"11","key":"2_CR13","doi-asserted-by":"publisher","first-page":"6093","DOI":"10.1118\/1.3651610","volume":"38","author":"N. Makni","year":"2011","unstructured":"Makni, N., Iancu, A., Colot, O., Puech, P., Mordon, S., Betrouni, N., et al.: Zonal segmentation of prostate using multispectral magnetic resonance images. Medical Physics\u00a038(11), 6093 (2011)","journal-title":"Medical Physics"},{"key":"2_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-3-642-33418-4_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"G. Litjens","year":"2012","unstructured":"Litjens, G., Debats, O., van de Ven, W., Karssemeijer, N., Huisman, H.: A pattern recognition approach to zonal segmentation of the prostate on MRI. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part II. LNCS, vol.\u00a07511, pp. 413\u2013420. Springer, Heidelberg (2012)"},{"issue":"2","key":"2_CR15","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/BF01205007","volume":"3","author":"S. Luckhaus","year":"1995","unstructured":"Luckhaus, S., Sturzenhecker, T.: Implicit time discretization for the mean curvature flow equation. Calc. Var. Partial Differential Equations\u00a03(2), 253\u2013271 (1995)","journal-title":"Calc. Var. Partial Differential Equations"},{"key":"2_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/11744078_32","volume-title":"Computer Vision \u2013 ECCV 2006","author":"Y. Boykov","year":"2006","unstructured":"Boykov, Y., Kolmogorov, V., Cremers, D., Delong, A.: An integral solution to surface evolution PDEs via geo-cuts. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03953, pp. 409\u2013422. Springer, Heidelberg (2006)"},{"key":"2_CR17","unstructured":"Yuan, J., Ukwatta, E., Tai, X.C., Fenster, A., Schnoerr, C.: A fast global optimization-based approach to evolving contours with generic shape prior. Technical report CAM-12-38, UCLA (2012)"},{"key":"2_CR18","series-title":"Applied Mathematical Sciences","doi-asserted-by":"crossref","DOI":"10.1007\/b98879","volume-title":"Level set methods and dynamic implicit surfaces","author":"S. Osher","year":"2003","unstructured":"Osher, S., Fedkiw, R.: Level set methods and dynamic implicit surfaces. Applied Mathematical Sciences, vol.\u00a0153. Springer, New York (2003)"},{"key":"2_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/978-3-642-23094-3_11","volume-title":"Energy Minimization Methods in Computer Vision and Pattern Recognition","author":"A. Delong","year":"2011","unstructured":"Delong, A., Gorelick, L., Schmidt, F.R., Veksler, O., Boykov, Y.: Interactive segmentation with super-labels. In: Boykov, Y., Kahl, F., Lempitsky, V., Schmidt, F.R. (eds.) EMMCVPR 2011. LNCS, vol.\u00a06819, pp. 147\u2013162. Springer, Heidelberg (2011)"},{"issue":"11","key":"2_CR20","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1109\/TIP.2007.908073","volume":"16","author":"O. Michailovich","year":"2007","unstructured":"Michailovich, O., Rathi, Y., Tannenbaum, A.: Image segmentation using active contours driven by the bhattacharyya gradient flow. IEEE Transactions on Image Processing\u00a016(11), 2787\u20132801 (2007)","journal-title":"IEEE Transactions on Image Processing"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a023, 2001 (2001)","DOI":"10.1109\/34.969114"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Yuan, J., Bae, E., Tai, X.: A study on continuous max-flow and min-cut approaches. In: CVPR 2010 (2010)","DOI":"10.1109\/CVPR.2010.5539903"},{"key":"2_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/978-3-642-15567-3_28","volume-title":"Computer Vision \u2013 ECCV 2010","author":"J. Yuan","year":"2010","unstructured":"Yuan, J., Bae, E., Tai, X.-C., Boykov, Y.: A continuous max-flow approach to potts model. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol.\u00a06316, pp. 379\u2013392. Springer, Heidelberg (2010)"},{"key":"2_CR24","unstructured":"Bertsekas, D.P.: Nonlinear Programming. Athena Scientific (September 1999)"},{"issue":"1","key":"2_CR25","first-page":"89","volume":"20","author":"A. Chambolle","year":"2004","unstructured":"Chambolle, A.: An algorithm for total variation minimization and applications. Journal of Mathematical Imaging and Vision\u00a020(1), 89\u201397 (2004)","journal-title":"Journal of Mathematical Imaging and Vision"},{"issue":"3","key":"2_CR26","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1109\/TMI.2010.2095465","volume":"30","author":"C. Garnier","year":"2011","unstructured":"Garnier, C., Bellanger, J.J., Wu, K., Shu, H., Costet, N., Mathieu, R., de Crevoisier, R., Coatrieux, J.L.: Prostate segmentation in HIFU therapy. IEEE Trans. Med. Imag.\u00a030(3), 792\u2013803 (2011)","journal-title":"IEEE Trans. Med. Imag."},{"key":"2_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/978-3-642-33415-3_66","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2012","author":"W. Qiu","year":"2012","unstructured":"Qiu, W., Yuan, J., Ukwatta, E., Tessier, D., Fenster, A.: Rotational-slice-based prostate segmentation using level set with shape constraint for 3D end-firing TRUS guided biopsy. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part I. LNCS, vol.\u00a07510, pp. 537\u2013544. Springer, Heidelberg (2012)"}],"container-title":["Lecture Notes in Computer Science","Energy Minimization Methods in Computer Vision and Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40395-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T13:44:29Z","timestamp":1558014269000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40395-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642403941","9783642403958"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40395-8_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}