{"created":"2023-05-15T14:51:54.791559+00:00","id":70965,"links":{},"metadata":{"_buckets":{"deposit":"b17d3e32-eb06-4fef-8072-52e6cede304c"},"_deposit":{"created_by":1,"id":"70965","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"70965"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00070965","sets":["10:28"]},"author_link":["697426","697431","697452","697448","697449","697435","697450","697454","697433","697447","697429","697439","697444","697445","697442","697432","697443","697437","697453","697446","697430","697434","697425","697438","697436","697440","697427","697441","697428","697451"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2012-10-31","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Purpose\nImage reconstruction for most nuro-transmission PET scan data is performed by FBP because of a positive bias caused by the noise propagation in OS-EM algorithm. A positive bias affects the estimation of binding potential (BP) calculated from radioactive concentrations of reference regions and target region in nuroreceptor binding assay. To suppress the noise propagation in OS-EM algorithm, the hybrid wavelet shrinkage (HWS) filter is developed. In this study, we performed the phantom study to evaluate the effect of HWS filter on noise propagation in OS-EM algorithm.\n\\nMaterials and Methods\nPhantom studies are performed by SET-3000GCT/X (shimadzu corp). To evaluate the effect of the HWS filter, we planned the some phantom study. IEC body phantom filled with 18F (activity concentration ratios relative to background of 4:1) are used for evaluation of image quality. A pool phantom filled with 18F (11.4kBq/ml) is scanned by dynamic scan mode for evaluation the quantification of PET image. Prior to emission scans, a transmission scan (6min) for attenuation correction with a 137Cs point source with a BGO transmission detector ring coaxially attached to the GSO emission detector ring. Reconstruction parameters of PET images are follows; FBP with Gaussian filter 5.0mm, OS-EM, OS-EM with HWS filter (OS-EMw). Iteration numbers in OS-EM algorithm are varied from 1 to 100 to evaluate the noise propagation.\n\\nResults\nIn pool phantom study, a positive bias at low count rate is shown in PET images reconstructed by OS-EM algorithm, while any biases are not shown in images reconstructed by FBP and OS-EMw algorithm. The N10 values are diverged due to noise propagation in OS-EM algorithm while N10 values calculated from PET image reconstructed by OS-EMw algorithm are convergence at the point of 10 iterations in IEC body phantom study. Similarly, the Q10 values are diverged depends on iteration number in OS-EM algorithm while that of OS-EMw has fast convergence. Furthermore, these results indicate that OS-EMw has the fast convergence of pixel number and suppress the noise propagation.\n\\nConclusion\nAccording to our study, OS-EMw has fast convergence and suppresses the noise propagation in OS-EM algorithm. These results show that HWS filter can be a standard de-noising method for nuro-recptor PET imaging with OS-EM algorithm.","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":"Annual Congress of the European Association of Nuclear Medicine","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":"Shiraishi, Takahiro"}],"nameIdentifiers":[{"nameIdentifier":"697425","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kanno, Iwao"}],"nameIdentifiers":[{"nameIdentifier":"697426","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ito, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"697427","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yoshikawa, Kyosan"}],"nameIdentifiers":[{"nameIdentifier":"697428","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tanimoto, Katsuyuki"}],"nameIdentifiers":[{"nameIdentifier":"697429","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ishii, Noriyuki"}],"nameIdentifiers":[{"nameIdentifier":"697430","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kimura, Taku"}],"nameIdentifiers":[{"nameIdentifier":"697431","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Omatsu, Mika"}],"nameIdentifiers":[{"nameIdentifier":"697432","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ohashi, Seiya"}],"nameIdentifiers":[{"nameIdentifier":"697433","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Toubaru, Sachiko"}],"nameIdentifiers":[{"nameIdentifier":"697434","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Takano, Harumasa"}],"nameIdentifiers":[{"nameIdentifier":"697435","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Tsuji, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"697436","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ando, Yutaka"}],"nameIdentifiers":[{"nameIdentifier":"697437","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kamada, Tadashi"}],"nameIdentifiers":[{"nameIdentifier":"697438","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Shibayama, Kouichi"}],"nameIdentifiers":[{"nameIdentifier":"697439","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"白石 貴博","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697440","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"菅野 巖","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697441","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"伊藤 浩","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697442","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"吉川 京燦","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697443","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"谷本 克之","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697444","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"石井 徳幸","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697445","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"木村 卓","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697446","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"尾松 美香","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697447","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"大橋 靖也","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697448","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"桃原 幸子","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697449","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"高野 晴成","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697450","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"辻 比呂志","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697451","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"安藤 裕","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697452","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"鎌田 正","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697453","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"柴山 晃一","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"697454","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":"Hybrid wavelet shrinkage (HWS) filter suppress the noise propagation in ordered subset expectation maximization (OS-EM) algorithm","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Hybrid wavelet shrinkage (HWS) filter suppress the noise propagation in ordered subset expectation maximization (OS-EM) algorithm"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-11-07"},"publish_date":"2012-11-07","publish_status":"0","recid":"70965","relation_version_is_last":true,"title":["Hybrid wavelet shrinkage (HWS) filter suppress the noise propagation in ordered subset expectation maximization (OS-EM) algorithm"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T19:56:45.956704+00:00"}