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Results were compared with volume segmentations by two supervised methods, k\u2010nearest neighbors and region growing, and all results were compared with manual labelings. Results of individual segmentations are presented as well as comparisons on the application of the different methods with 10 data sets of patients with brain tumors. Unsupervised segmentation is preferred for measuring tumor volumes in response to treatment, as it eliminates operator dependency and may be adequate for delineation of the target volume in radiation therapy. Some obstacles need to be overcome, in particular regard\u2010big the detection of anatomically relevant tissue classes. This study shows that these improvements are possible.<\/jats:p>","DOI":"10.1002\/jmri.1880050520","type":"journal-article","created":{"date-parts":[[2007,3,6]],"date-time":"2007-03-06T04:50:51Z","timestamp":1173156651000},"page":"594-605","source":"Crossref","is-referenced-by-count":60,"title":["Unsupervised Measurement of Brain Tumor Volume on MR Images"],"prefix":"10.1002","volume":"5","author":[{"given":"Robert P.","family":"Velthuizen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurence P.","family":"Clarke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Surasak","family":"Phuphanich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lawrence O.","family":"Hall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amine M.","family":"Bensaid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John A.","family":"Arrington","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harvey M.","family":"Greenberg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin L.","family":"Silbiger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,12,12]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_2_2","DOI":"10.1118\/1.597000"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_2","DOI":"10.1016\/0730-725X(94)00124-L"},{"doi-asserted-by":"publisher","key":"e_1_2_1_4_2","DOI":"10.1002\/mrm.1910110103"},{"doi-asserted-by":"publisher","key":"e_1_2_1_5_2","DOI":"10.1148\/radiology.169.3.3187000"},{"doi-asserted-by":"publisher","key":"e_1_2_1_6_2","DOI":"10.1016\/0730-725X(92)90009-O"},{"doi-asserted-by":"publisher","key":"e_1_2_1_7_2","DOI":"10.1016\/0730-725X(92)90508-W"},{"doi-asserted-by":"publisher","key":"e_1_2_1_8_2","DOI":"10.1148\/radiology.154.1.3964938"},{"key":"e_1_2_1_9_2","first-page":"148","article-title":"Magnetic resonance imaging multispectral tissue classification","volume":"3","author":"Vannier MW","year":"1988","journal-title":"News Physiol Sci"},{"doi-asserted-by":"publisher","key":"e_1_2_1_10_2","DOI":"10.1016\/0730-725X(93)90417-C"},{"doi-asserted-by":"publisher","key":"e_1_2_1_11_2","DOI":"10.1016\/0262-8856(92)90021-T"},{"doi-asserted-by":"publisher","key":"e_1_2_1_12_2","DOI":"10.1126\/science.1925560"},{"doi-asserted-by":"publisher","key":"e_1_2_1_13_2","DOI":"10.1148\/radiology.178.1.1984289"},{"key":"e_1_2_1_14_2","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1097\/00004728-199303000-00007","article-title":"Accuracy and reproducibility in volumetric analysis of multiple sclerosis lesions","volume":"17","author":"Jackson EF","year":"1993","journal-title":"J Comput Assist Tomogr"},{"doi-asserted-by":"publisher","key":"e_1_2_1_15_2","DOI":"10.1097\/00004424-199007000-00009"},{"doi-asserted-by":"publisher","key":"e_1_2_1_16_2","DOI":"10.1109\/72.159057"},{"doi-asserted-by":"crossref","unstructured":"BensaidAM HallLO ClarkeLP VelthuizenRP.MRI segmentation using supervised and unsupervised methods. 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