{"created":"2023-05-15T14:46:19.359733+00:00","id":63589,"links":{},"metadata":{"_buckets":{"deposit":"99a50d1c-7ba2-44ab-9169-9102c975c648"},"_deposit":{"created_by":1,"id":"63589","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"63589"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00063589","sets":["10:29"]},"author_link":["627590","627592","627588","627589","627591","627593"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2009-09-19","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"PET による脳神経受容体機能の測定で使用されるコンパートメントモデルでは，非線形推定に由来するた\nめ誤収束や初期値依存性，膨大な計算時間などの問題が生じる．そこで本研究では，MAP 推定に基づくアル\nゴリズムであるCAKS 法を用いて神経受容体濃度を推定することを目的とする．CAKS 法は，投与薬剤から\n想定される時間放射能曲線(tTAC)を事前に準備し，特徴空間において実測tTAC と形状が最も類似したもの\nを選定し，最適なパラメータを得る手法である．[11C]TMSX を想定した，ROI 相当のノイズを持つシミュレ\nーションデータをCAKS に適用したところ，速度定数K1 および分布体積VT はほぼ真値と一致した．しかし，\nk2〜k4 については，K1 およびVT の推定値から特徴空間を限定する必要性が示唆された．","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":"生体医工学シンポジウム2009","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":"岡西, 洋祐"}],"nameIdentifiers":[{"nameIdentifier":"627588","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"木村, 裕一"}],"nameIdentifiers":[{"nameIdentifier":"627589","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"菅, 幹生"}],"nameIdentifiers":[{"nameIdentifier":"627590","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"岡西 洋祐","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"627591","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"木村 裕一","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"627592","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"菅 幹生","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"627593","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"PET脳神経受容体機能解析における MAP推定を用いたアルゴリズムの構築","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"PET脳神経受容体機能解析における MAP推定を用いたアルゴリズムの構築"}]},"item_type_id":"10005","owner":"1","path":["29"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-10-05"},"publish_date":"2009-10-05","publish_status":"0","recid":"63589","relation_version_is_last":true,"title":["PET脳神経受容体機能解析における MAP推定を用いたアルゴリズムの構築"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T21:21:15.307441+00:00"}