{"created":"2021-03-01T06:29:14.855906+00:00","id":21564,"links":{},"metadata":{"_buckets":{"deposit":"47b7e3f0-89ef-410a-b70d-9fdcc36a01e3"},"_deposit":{"id":"21564","owners":[],"pid":{"revision_id":0,"type":"depid","value":"21564"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00021564"},"item_10_alternative_title_19":{"attribute_name":"\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_alternative_title":"A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map"}]},"item_10_biblio_info_6":{"attribute_name":"\u66f8\u8a8c\u60c5\u5831","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"411","bibliographicPageEnd":"144","bibliographicPageStart":"139","bibliographicVolumeNumber":"112","bibliographic_titles":[{"bibliographic_title":"\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a. 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It is necessary to normalize physical size for each CT data in the database if CT database is utilized for organ segmentation. In this paper, we propose a new normalization method on physical size. Also, we incorporate it into a patient-specific atlas based method for multi-organ segmentation. Firstly, we roughly extract lung and kidney areas to normalize the physical sizes of the CT images in database. We dynamically generate a patient-specific probabilistic atlas for each new target image by using the normalized CT database. We roughly segment the organ region based on the probabilistic atlas and refine it by using a graph-cuts method. Experimental results showed that our approach can segment the liver, the spleen, the pancreas, and the kidney correctly with Jaccard indices of 95.1%, 91.4%, 69.1%, and 90.1%, respectively.","subitem_description_type":"Abstract"}]},"item_10_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"http://ci.nii.ac.jp/naid/110009727720/"},{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/23712"}]},"item_10_publisher_32":{"attribute_name":"\u51fa\u7248\u8005","attribute_value_mlt":[{"subitem_publisher":"\u4e00\u822c\u793e\u56e3\u6cd5\u4eba\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a"}]},"item_10_relation_40":{"attribute_name":"\u30b7\u30ea\u30fc\u30ba","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"IEICE Technical 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