{"links":{},"id":196743,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196743","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196743","title":["肝臓手術サポートシステムにおけるDICOM深度画像と実肝臓モデルによる位置姿勢推定精度の評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"6613560b-cb4e-45c5-b43e-922891acb85c"},"_deposit":{"id":"196743","pid":{"type":"depid","value":"196743","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"肝臓手術サポートシステムにおけるDICOM深度画像と実肝臓モデルによる位置姿勢推定精度の評価","author_link":["471163","471160","471161","471159","471162"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"肝臓手術サポートシステムにおけるDICOM深度画像と実肝臓モデルによる位置姿勢推定精度の評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"denLabo"},{"subitem_text_value":"大阪電通大"},{"subitem_text_value":"大阪電通大"},{"subitem_text_value":"大阪電通大"},{"subitem_text_value":"大阪電通大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/196743/files/IPSJ-Z81-7C-05.pdf","label":"IPSJ-Z81-7C-05.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-7C-05.pdf","filesize":[{"value":"628.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3edc4b60-5e88-4a36-808d-6e0106932546","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"矢野, 大貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小枝, 正直"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 克彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"登尾, 啓史"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"肝臓手術は，多数の血管が張り巡らされており血管構造が複雑なため難しい．また体の複雑な機能を担っている為に全摘出が困難である．術前診断でのMRIやCTを用いて，血管位置を把握することができるが，術中に変化する位置姿勢を考慮して臓器の内部構造を詳細に把握することは不可能である．本研究では，肝臓の開腹手術を対象とした手術サポートシステムを関西医科大学と共同して開発中である．本稿では，GPGPUによる並列処理により高速に生成したDICOM深度画像と，深度カメラから取得した実肝臓モデルの深度画像の一致率を焼きなまし法により最適化することで臓器位置・姿勢推定する実験とその結果について述べる．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"34","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"33","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:15.008246+00:00","updated":"2025-01-19T22:37:06.797918+00:00"}