{"created":"2023-05-15T14:50:16.666266+00:00","id":68757,"links":{},"metadata":{"_buckets":{"deposit":"63dd6e58-883f-4820-9843-594b918690f0"},"_deposit":{"created_by":1,"id":"68757","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"68757"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00068757","sets":["10:28"]},"author_link":["674765","674759","674771","674763","674767","674773","674761","674762","674764","674770","674758","674766","674760","674769","674768","674772"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2006-11-04","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Introduction: Low signal-to-noise ratio (SNR) of time activity curve (TAC) at the voxel level causes severe bias and poor precision for estimated binding potential (BP) in peripheral benzodiazepine receptor (PBR) using Non-linear least square fitting. The purpose of this study is to evaluate noise reduction capability of wavelet denoising for estimated BP image. \nMethods: We applied spatial (3D) and temporal (frame) wavelet denoising to simulate data and clinical dynamic image of PBR using 18F-FEDAA1106. For denoising process, the way of thresholding wavelet coefficient (Daubecies 4) was soft-threshold for each subbands according to BayesShrink (Level4) for spatial and VISUShrink (Level3) for temporal. In simulation, we evaluated the effects of denoising in temporal dimension with irregular sampling interval. K values were mimicked human PBR study and 1000 of noisy TACs were generated (noise 1, 5, 10 and 15%). In clinical application, TAC and BP image with/without wavelet denoising for a subject were compared. \nResults: Wavelet denoising in temporal dimension improved overestimated BP value from 14.6% to 11.4% in case of noise level 10%. In clinical, wavelet denoising in spatial and temporal dimension can compensate the noise in TAC, however, difference between BP images of with/without wavelet denoising were not so apparent. \nConclusion: Wavelet denoising improve the quality of dynamic images, however, further optimization will be required for improving SNR of BP 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":"IEEE 2006 Nuclear Science Symposium and Medical Imaging Conference","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":"Shidahara, Miho"}],"nameIdentifiers":[{"nameIdentifier":"674758","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ikoma, Youko"}],"nameIdentifiers":[{"nameIdentifier":"674759","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Seki, Chie"}],"nameIdentifiers":[{"nameIdentifier":"674760","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Fujimura, Yota"}],"nameIdentifiers":[{"nameIdentifier":"674761","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yoshida, Kinei"}],"nameIdentifiers":[{"nameIdentifier":"674762","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ito, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"674763","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Suhara, Tetsuya"}],"nameIdentifiers":[{"nameIdentifier":"674764","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kanno, Iwao"}],"nameIdentifiers":[{"nameIdentifier":"674765","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"志田原 美保","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674766","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"生駒 洋子","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674767","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"関 千江","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674768","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"藤村 洋太","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674769","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"吉田 欣永","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674770","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"伊藤 浩","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674771","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"須原 哲也","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674772","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"菅野 巖","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"674773","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":"Wavelet Denoising of Dynamic PET Data: Application to the Parametric Imaging of Peripheral Benzodiazepine Receptor","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Wavelet Denoising of Dynamic PET Data: Application to the Parametric Imaging of Peripheral Benzodiazepine Receptor"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-11-13"},"publish_date":"2006-11-13","publish_status":"0","recid":"68757","relation_version_is_last":true,"title":["Wavelet Denoising of Dynamic PET Data: Application to the Parametric Imaging of Peripheral Benzodiazepine Receptor"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T20:22:28.536689+00:00"}