{"created":"2025-01-18T23:16:37.702193+00:00","updated":"2025-01-22T06:52:56.189692+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00052263","sets":["1164:4619:4631:4635"]},"path":["4635"],"owner":"1","recid":"52263","title":["固有空間画像照合法を用いた気管支鏡ナビゲーションのための観察部位識別法に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-03-17"},"_buckets":{"deposit":"b95cc8e1-6947-4f7d-b03e-32808a0f66c4"},"_deposit":{"id":"52263","pid":{"type":"depid","value":"52263","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"固有空間画像照合法を用いた気管支鏡ナビゲーションのための観察部位識別法に関する検討","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"固有空間画像照合法を用いた気管支鏡ナビゲーションのための観察部位識別法に関する検討"},{"subitem_title":"A study on branch identification method for bronchoscope navigation based on eigenspace image matching","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2006-03-17","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"名古屋大学大学院情報科学研究科"},{"subitem_text_value":"北海道恵愛会南三条病院"},{"subitem_text_value":"札幌厚生病院"},{"subitem_text_value":"札幌医科大学医学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Minami-sanjo Hospital","subitem_text_language":"en"},{"subitem_text_value":"Sapporo-Kosei General Hospital","subitem_text_language":"en"},{"subitem_text_value":"School of Medicine Sapporo Medical University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/52263/files/IPSJ-CVIM06153056.pdf"},"date":[{"dateType":"Available","dateValue":"2008-03-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM06153056.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d084ad70-a0a2-4d66-99d7-5d73c6fbaa6e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2006 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"篠原, 里代子"},{"creatorName":"出口, 大輔"},{"creatorName":"北坂, 孝幸"},{"creatorName":"森, 健策"},{"creatorName":"末永, 康仁"},{"creatorName":"高畠, 博嗣"},{"creatorName":"森, 雅樹"},{"creatorName":"名取, 博"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Riyoko, SHINOHARA","creatorNameLang":"en"},{"creatorName":"Daisuke, DEGUCHI","creatorNameLang":"en"},{"creatorName":"Takayuki, KITASAKA","creatorNameLang":"en"},{"creatorName":"Kensaku, MORI","creatorNameLang":"en"},{"creatorName":"Yasuhito, SUENAGA","creatorNameLang":"en"},{"creatorName":"Hirotsugu, TAKABATAKE","creatorNameLang":"en"},{"creatorName":"Masaki, MORI","creatorNameLang":"en"},{"creatorName":"Hiroshi, NATORI","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，固有空間画像照合法を用いた気管支鏡ナビゲーションのための観察部位識別手法について述べる.本手法では気管支鏡が現在観察している気管支枝を表示し，その枝の解剖学的名称を提示することにより，実気管支鏡の現在位置を出力する.観察部位の識別は，実気管支鏡像とあらかじめ作成された仮想化内視鏡像の画像照合によって行う.仮想化内視鏡像は，CT像から抽出された気管支領域の構造解析結果を基に，各分岐点において生成する.各フレームにおいて，固有空間法を用いて学習画像から実気管支鏡像と最も類似する仮想化内視鏡像を探索し，対応する校名を出力する．本手法を3次元Ⅹ線CT像と実気管支鏡ビデオの組に適用した．入力フレームの77.7％において正しく実気管支鏡の観察部位を識別することが可能であった．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper describes a method for identifying branches for bronchoscope navigation based on eigenspace image matching. This method outputs the current location of a real bronchoscope (RB) by displaying a bronchial branch where a bronchoscope is currently observing or by presenting the anatomical name of a branch currently being observed. Branch identification is done by image matching between RB images and VB images generated beforeharld. VB images are pre-generated at each bifurcation point based on structural analysis results of bronchial regions extracted from CT images. For each frame of an RB video, we find the most similar VB image to the input one from pre-generated VB images and output the branch name associated with the found image by using the eigenspace method. We applied the proposed method to a pair of 3D CT image and real bronchoscopic video. The experimental results showed that the proposed method could identify branches for about 77.7% of input frames.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"366","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"361","bibliographicIssueDates":{"bibliographicIssueDate":"2006-03-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25(2006-CVIM-153)","bibliographicVolumeNumber":"2006"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":52263,"links":{}}