{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T03:46:30Z","timestamp":1782618390697,"version":"3.54.5"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2011,12,12]],"date-time":"2011-12-12T00:00:00Z","timestamp":1323648000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2012,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this article, we determined the relative accuracy of semiautomated spleen volumetry with diffusion\u2010weighted (DW) MR images compared to standard manual volumetry with DW\u2010MR or CT images. Semiautomated spleen volumetry using simple thresholding followed by 3D and 2D connected component analysis was performed with DW\u2010MR images. Manual spleen volumetry was performed on DW\u2010MR and CT images. In this study, 35 potential live liver donor candidates were included. Semiautomated volumetry results were highly correlated with manual volumetry results using DW\u2010MR (<jats:italic>r<\/jats:italic> = 0.99; <jats:italic>P<\/jats:italic> &lt; 0.0001; mean percentage absolute difference, 1.43 \u00b1 0.94) and CT (<jats:italic>r<\/jats:italic> = 0.99; <jats:italic>P<\/jats:italic> &lt; 0.0001; 1.76 \u00b1 1.07). Mean total processing time for semiautomated volumetry was significantly shorter compared to that of manual volumetry with DW\u2010MR (<jats:italic>P<\/jats:italic> &lt; 0.0001) and CT (<jats:italic>P<\/jats:italic> &lt; 0.0001). In conclusion, semiautomated spleen volumetry with DW\u2010MR images can be performed rapidly and accurately when compared with standard manual volumetry. Magn Reson Med, 2012. \u00a9 2011 Wiley Periodicals, Inc.<\/jats:p>","DOI":"10.1002\/mrm.23204","type":"journal-article","created":{"date-parts":[[2011,12,12]],"date-time":"2011-12-12T17:31:12Z","timestamp":1323711072000},"page":"305-310","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Semiautomated spleen volumetry with diffusion\u2010weighted MR imaging"],"prefix":"10.1002","volume":"68","author":[{"given":"Jeongjin","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoung Won","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ho","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"So Jung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanghyun","family":"Choi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Woo Kyoung","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heewon","family":"Kye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gi\u2010Won","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sung\u2010Gyu","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2011,12,12]]},"reference":[{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2004.01.007"},{"key":"e_1_2_6_3_2","first-page":"1726","article-title":"Normal splenic volume in adults by computed tomography","volume":"49","author":"Kaneko J","year":"2002","journal-title":"Hepatogastroenterology"},{"key":"e_1_2_6_4_2","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.184.5.01841510"},{"key":"e_1_2_6_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.transproceed.2009.06.202"},{"key":"e_1_2_6_6_2","first-page":"1211","article-title":"Spleen volume and platelet count changes among donors after living donor liver transplantation","volume":"55","author":"Chen TY","year":"2008","journal-title":"Hepatogastroenterology"},{"key":"e_1_2_6_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1399-0012.2006.00554.x"},{"key":"e_1_2_6_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-005-0101-2"},{"key":"e_1_2_6_9_2","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2005.022376"},{"key":"e_1_2_6_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/ca.980080403"},{"key":"e_1_2_6_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2004.05.012"},{"key":"e_1_2_6_12_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.141.2.6974875"},{"key":"e_1_2_6_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02384985"},{"key":"e_1_2_6_14_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5565\/rev\/elcvia.206","article-title":"Automatic abdominal organ segmentation from CT images","volume":"8","author":"Casiraghi E","year":"2009","journal-title":"ELCVIA"},{"key":"e_1_2_6_15_2","doi-asserted-by":"publisher","DOI":"10.1055\/s-2000-7954"},{"key":"e_1_2_6_16_2","first-page":"459","article-title":"Segmentation of 3D CT volume images using a single 2D atlas","volume":"3765","author":"Ding F","year":"2005","journal-title":"LNCS"},{"key":"e_1_2_6_17_2","first-page":"1001","article-title":"Atlas\u2010based automated segmentation of spleen and liver using adaptive enhancement estimation","volume":"5762","author":"Linguraru MG","year":"2009","journal-title":"Med Image Comput Comput Assist Interv"},{"key":"e_1_2_6_18_2","doi-asserted-by":"publisher","DOI":"10.1118\/1.3284530"},{"key":"e_1_2_6_19_2","doi-asserted-by":"crossref","unstructured":"ZhangX FujitaH QinT ZhaoJ QinY GaoC LongL ZhangZ.A novel method for extraction of spleen by using thin\u2010plate splines (TPS) deformation and edge detection from abdominal CT images. 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