{"created":"2023-05-15T14:49:38.463533+00:00","id":67969,"links":{},"metadata":{"_buckets":{"deposit":"fe466c54-9512-4ef6-a7c4-942796d697fe"},"_deposit":{"created_by":1,"id":"67969","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"67969"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00067969","sets":["10:28"]},"author_link":["667562","667564","667567","667568","667566","667569","667563","667565"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2004-12-12","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Purpose\nTo achieve high temporal resolution and good image quality, we developed a respiratory gated segment reconstruction algorithm (RS-FDK) based on the Feldkamp-Davis-Kress algorithm using the prototype 256-detector row CT. \n\\n\nMaterials and Methods\nThe 256-detector row CT could scan an approximately 120 mm long in the cranio-caudal direction with 0.5 mm slice thickness in one rotation. The concept of the RS-FDK was similar to the cardiac CT imaging with ECG gated, data acquisition for RS-FDK relies on the assistance of the respiratory sensing system by a cine scan mode (table remains stationary). The temporal resolution of RS-FDK was four times and twice higher than full-scan (FS-FDK) and half-scan (HS-FDK), respectively. Moreover RS-FDK has the same signal-to-noise ratio as FS-FDK. We evaluated it in four domestic pigs under free breathing.\n\\nResults\nThe RS-FDK visualized the clearest edges of the liver and pulmonary vessels of all algorithms. FS-FDK is the worst image quality due to the low temporal resolution. For mid-exhale and mid-inhale, however, geometrical distortions of pulmonary vessel and interlobular septa become visible in FS-FDK and HS-FDK. Images of HS-FDK suffer from a streak artifact on the ribs in spite of its good temporal resolution.\n\\n\n<Conclusion>\nRS-FDK improved image quality for each respiratory phase. Since temporal resolution is important factor to minimize planning target volume margin due to the respiratory motion, RS-FDK will usefulness to adapt to new radiotherapy techniques including the image guided radiation therapy and 4D radiation therapy.","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"3DCRT IMRT","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mori, Shinichirou"}],"nameIdentifiers":[{"nameIdentifier":"667562","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Endo, Masahiro"}],"nameIdentifiers":[{"nameIdentifier":"667563","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kohno, Ryosuke"}],"nameIdentifiers":[{"nameIdentifier":"667564","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Minohara, Shinichi"}],"nameIdentifiers":[{"nameIdentifier":"667565","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"森 慎一郎","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"667566","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"遠藤 真広","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"667567","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"河野 良介","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"667568","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"蓑原 伸一","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"667569","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"RESPIRATORY GATED SEGMENT RECONSTRUCTION ALGORITHM USING 256-DETECTOR ROW CT-SCANNER","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"RESPIRATORY GATED SEGMENT RECONSTRUCTION ALGORITHM USING 256-DETECTOR ROW CT-SCANNER"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2004-12-13"},"publish_date":"2004-12-13","publish_status":"0","recid":"67969","relation_version_is_last":true,"title":["RESPIRATORY GATED SEGMENT RECONSTRUCTION ALGORITHM USING 256-DETECTOR ROW CT-SCANNER"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:31:37.090464+00:00"}