{"created":"2023-05-15T14:49:53.551509+00:00","id":68304,"links":{},"metadata":{"_buckets":{"deposit":"b7d99e7a-8f2f-4e8e-bbd9-52e0b36eab5a"},"_deposit":{"created_by":1,"id":"68304","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"68304"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00068304","sets":["10:28"]},"author_link":["670579","670582","670581","670584","670580","670583"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2005-12-14","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In radiotherapy, conformal irradiation of tumors with respiratory motion is an important issue. Some compensation techniques, such as respiratory-gated irradiation, are widely used to reduce the internal margins. However, the motion even in the gated duration and the reproducibility are concerned with the essential dose distributions, especially in particle therapy because of its unique characteristics of dose deposition. Quantifying the motion is required to assess the target dose conformality and sparing normal tissues.\n\\nWe have been developing a new quantification technique for 3D lung motion by means of tracking the anatomical features inside the lung using a set of sequential 3D-CT images (a 4D-CT image). This technique is based on the conservation of topology, such as connections and junctions of vessels, during the motion. Lung 3D-CT images were used to process lung volume modeling, lung vessel extracting and thinning, and vessel bifurcations were derived as feature points. Such feature points were tracked in a series of 3D-CT images, individually between two successive 3D-CT images. Consequently, 3D displacement vectors were obtained. The feature point tracking was carried out using point pattern matching with a probabilistic relaxation method. More than 1000 displacement vectors were obtained using the simulated lung CT images, and the accuracy of the vectors was estimated to be within 1-voxel. This can be applied to the estimation of CTV deformation by gridding interpolation, where the CTV is defined at an initial 3D-CT image. \n\\nThis 3D motion evaluation technique enables us to track realistic motion of any positions inside the lung without any fiducial markers. It is expected to be useful for optimization of respiratory-gated irradiation by means of motion quantification for actual 4D-CT images and dose estimation in moving targets and normal tissues, and for 4D treatment planning. We present the developed technique and its verification using the simulated lung CT images.","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":"PTCOG 43","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":"Tashiro, Mutsumi"}],"nameIdentifiers":[{"nameIdentifier":"670579","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Minohara, Shinichi"}],"nameIdentifiers":[{"nameIdentifier":"670580","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kanai, Tatsuaki"}],"nameIdentifiers":[{"nameIdentifier":"670581","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"et.al"}],"nameIdentifiers":[{"nameIdentifier":"670582","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"蓑原 伸一","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"670583","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"金井 達明","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"670584","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":"Quantitative evaluation technique for 3D lung motion using anatomical feature tracking","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Quantitative evaluation technique for 3D lung motion using anatomical feature tracking"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-01-19"},"publish_date":"2006-01-19","publish_status":"0","recid":"68304","relation_version_is_last":true,"title":["Quantitative evaluation technique for 3D lung motion using anatomical feature tracking"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:27:43.177051+00:00"}