{"created":"2023-06-19T10:29:40.026649+00:00","id":9628,"links":{},"metadata":{"_buckets":{"deposit":"69a2e0c3-56ac-424d-9871-b0267771aea4"},"_deposit":{"created_by":18,"id":"9628","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"9628"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00009628","sets":["216:441","46"]},"author_link":["55043","55044"],"item_79_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"01","bibliographicPageEnd":"151","bibliographicPageStart":"137","bibliographicVolumeNumber":"05","bibliographic_titles":[{"bibliographic_title":"Journal of Computer and Communications","bibliographic_titleLang":"en"}]}]},"item_79_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_79_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Computer Tomography in medical imaging provides human internal body pictures in the digital form. The more quality images it provides, the better information we get. Normally, medical imaging can be constructed by projection data from several perspectives. In this paper, our research challenges and describes a numerical method for refining the image of a Region of Interest (ROI) by constructing support within a standard CT image. It is obvious that the quality of tomographic slice is affected by artifacts. CT using filter and K-means clustering provides a way to reconstruct an ROI with minimal artifacts and improve the degree of the spatial resolution. Experimental results are presented for improving the reconstructed images, showing that the approach enhances the overall resolution and contrast of ROI images. Our method provides a number of advantages: robustness with noise in projection data and support construction without the need to acquire any additional setup.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_79_link_17":{"attribute_name":"出版者版へのリンク","attribute_value_mlt":[{"subitem_link_text":"10.4236/jcc.2017.51011","subitem_link_url":"https://doi.org/10.4236/jcc.2017.51011"}]},"item_79_link_5":{"attribute_name":"室蘭工業大学研究者データベースへのリンク","attribute_value_mlt":[{"subitem_link_text":"塩谷 浩之（SHIOYA Hiroyuki）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000237_ja.html"}]},"item_79_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Scientific Research Publishing","subitem_publisher_language":"en"}]},"item_79_relation_18":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.4236/jcc.2017.51011","subitem_relation_type_select":"DOI"}}]},"item_79_relation_22":{"attribute_name":"主となる版","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://file.scirp.org/pdf/JCC_2017012215041977.pdf","subitem_relation_type_select":"URI"}}]},"item_79_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2017 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).","subitem_rights_language":"en"}]},"item_79_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2327-5219","subitem_source_identifier_type":"PISSN"}]},"item_79_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007.642","subitem_subject_scheme":"NDC"}]},"item_79_version_type_21":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"DHAMMATORN, Wisan","creatorNameLang":"en"}],"familyNames":[{}],"givenNames":[{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"SHIOYA, Hiroyuki","creatorNameLang":"en"},{"creatorName":"塩谷, 浩之","creatorNameLang":"ja"},{"creatorName":"シオヤ, ヒロユキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-03-08"}],"displaytype":"detail","filename":"JCC_5_1_137_151.pdf","filesize":[{"value":"5.7 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"label":"JCC_5_1_137_151","objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/9628/files/JCC_5_1_137_151.pdf"},"version_id":"0d8a3dfd-3c64-4f3a-baf6-50ae72f426a8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Sparse CT Reconstruction","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"K-Means Clustering","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Total Variation Filtering","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Maximum Entropy Thresholding","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"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":"A Support Construction for CT Image Based on K-Means Clustering","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Support Construction for CT Image Based on K-Means Clustering","subitem_title_language":"en"}]},"item_type_id":"79","owner":"18","path":["46","441"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-03-08"},"publish_date":"2018-03-08","publish_status":"0","recid":"9628","relation_version_is_last":true,"title":["A Support Construction for CT Image Based on K-Means Clustering"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-01-31T01:08:16.885538+00:00"}