{"created":"2023-05-15T14:38:05.781887+00:00","id":49151,"links":{},"metadata":{"_buckets":{"deposit":"19fa7fd7-a067-46ed-a117-929d358b446c"},"_deposit":{"created_by":1,"id":"49151","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"49151"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00049151","sets":["1"]},"author_link":["760554","760559","760551","760557","760550","760555","760558","760552","760556","760553"],"item_8_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"1050","bibliographicPageStart":"1043","bibliographicVolumeNumber":"8","bibliographic_titles":[{"bibliographic_title":"Journal of Medical Imaging and Health Informatics"}]}]},"item_8_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"High-resolution chest computed tomography images now has a great importance in the diagnosis. However, this modality requires using a higher radiation dose and a longer scanning time compared to low-resolution computed tomography. In this study, we applied the sparse coding super-resolution method to reconstruct high-resolution images without increasing the radiation dose. We prepared an over-complete dictionary by mapping between low- and high-resolution patches and represented this as a sparse linear combination of each patch of the low-resolution input. These coefficients were used to reconstruct the high-resolution output. In our experiments, 89 computed tomography scans were analyzed. We up-sampled the images 2 or 4 times and compared the image quality of the sparse coding super-resolution scheme with those of the nearest neighbor and bilinear interpolations, which are the traditional interpolation schemes. The image quality was evaluated by measuring the peak signal-to-noise ratio and structure similarity. The differences in the peak signal-to-noise ratios and structure similarities between the sparse coding super-resolution method and the nearest neighbor or bilinear method were statistically significant. Visual assessment confirmed that the sparse coding super-resolution method generated high-resolution images, whereas the conventional interpolation methods generated over-smoothed images. Taken together, these results suggest that the sparse coding super-resolution approach is a robust method for up-sampling computed tomography images and that it yields images with markedly high resolution when magnifying chest computed tomography scans.","subitem_description_type":"Abstract"}]},"item_8_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"AMERICAN SCIENTIFIC PUBLISHERS"}]},"item_8_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1166/jmihi.2018.2399","subitem_relation_type_select":"DOI"}}]},"item_8_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.ingentaconnect.com/content/asp/jmihi/2018/00000008/00000005/art00025","subitem_relation_type_select":"URI"}}]},"item_8_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2156-7026","subitem_source_identifier_type":"ISSN"}]},"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":"Ota, Junko"}],"nameIdentifiers":[{"nameIdentifier":"760550","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Umehara, Kensuke"}],"nameIdentifiers":[{"nameIdentifier":"760551","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ishimaru, Naoki"}],"nameIdentifiers":[{"nameIdentifier":"760552","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ohno, Shunsuke"}],"nameIdentifiers":[{"nameIdentifier":"760553","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Okamoto, Kentaro"}],"nameIdentifiers":[{"nameIdentifier":"760554","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Suzuki, Takanori"}],"nameIdentifiers":[{"nameIdentifier":"760555","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ishida, Takayuki"}],"nameIdentifiers":[{"nameIdentifier":"760556","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ota, Junko","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"760557","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Umehara, Kensuke","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"760558","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ishida, Takayuki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"760559","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Sparse Coding Super-Resolution Scheme for Chest Computed Tomography","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Sparse Coding Super-Resolution Scheme for Chest Computed Tomography"}]},"item_type_id":"8","owner":"1","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-29"},"publish_date":"2018-06-29","publish_status":"0","recid":"49151","relation_version_is_last":true,"title":["Sparse Coding Super-Resolution Scheme for Chest Computed Tomography"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-16T00:44:05.513282+00:00"}