{"_buckets": {"deposit": "0dda479f-414a-4692-8bb6-d7a6f5f13394"}, "_deposit": {"created_by": 21, "id": "5313", "owners": [21], "pid": {"revision_id": 0, "type": "depid", "value": "5313"}, "status": "published"}, "_oai": {"id": "oai:asahi-u.repo.nii.ac.jp:00005313", "sets": ["357"]}, "author_link": ["4054", "8839", "8841", "4210", "8842", "4931", "4219", "4136", "8840", "343"], "item_10002_biblio_info_77": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "3", "bibliographicPageEnd": "92", "bibliographicPageStart": "83", "bibliographicVolumeNumber": "43", "bibliographic_titles": [{"bibliographic_title": "岐阜歯科学会雑誌"}, {"bibliographic_title": "The Journal of Gifu Dental Society", "bibliographic_titleLang": "en"}]}]}, "item_10002_description_80": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "パノラマX線画像から顎骨の病変を自動的に検出するコンピュータ支援診断／検出（Computer Assisted Diagnosis/detection，CAD）アルゴリズムを開発する場合、病巣の画像濃度が重要な手がかりとなる。本研究では、X線画像で透過像を示す顎骨病変について、画像濃度を計測して定量的に検討する事を目的とした。蓄積された画像データベースを検索し、下顎骨内で長径15mm以上のX線透過像を示す病変61例を抽出して対象とした。パノラマX線画像はイメージングプレート方式で取得し、DICOMデータとしてPCに読み込んだ。病巣のX線透過像部分と病巣辺縁より約5mmの範囲の周囲骨に関心領域（region of interest，ROI）を設定し、X線透過像部分の画素数を求め、画素値を8ビット（256階調）スケールで計測した。1画素のサイズは0.1mmである。また、CT撮影がされた症例ではHUを計測した。病巣の画素値は、すべての症例で周囲骨よりも小さくなっていた。また、病巣の画素値とコントラスト値は、病変の部位と大きさにより変化する傾向を認めたが、病巣内CT値は病変の部位と大きさにより変化を認めなかった。顎骨X線透過性病変の画像濃度は、パノラマ画像全体からみて広い範囲に分布し、骨の濃度との重複も大きいことがわかった。本研究の結果より、パノラマ画像から画素値のみを参考に顎骨病変を検出することは難しいと思われた。一方、病変と周囲骨のX線画像を領域ごとにスキャンしてコントラストを持つ構造を見つけだす方法でX線透過性病巣の検出が可能であると考える。パノラマX線画像上でX線透過像を示す顎骨病変の画像濃度を検討した結果、病巣内と周囲骨の画素値から求めたコントラスト値が、パノラマ画像上で病巣を自動的に検出するアルゴリズムにおける有効な特徴量となることが示唆された。", "subitem_description_type": "Abstract"}]}, "item_10002_description_81": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "Computer Assisted Diagnosis / Detection (CAD) has been developing rapidly. In CAD, it is necessary to measure the image density of lesions for development of an automatic detection algorithm. In this study, the image density of radiolucent intramandibular lesions on panoramic radiographs was measured for quantitative analysis. Approximately 6000 digital panoramic radiographs from our database were assessed. The image data were saved in DICOM format. A total of 61 (male : 40, female: 21, mean age 41.3 years) radiolucent lesions in the mandible were selected for analysis. The inclusion criterion was a lesion \u003e 15 mm in diameter. Regions of interest (ROI) were placed on both the lesion and its surrounding bone. The image density and area of each lesion within the ROI were measured. The mean image density value for the ROI was generated. An ROI to measure the surrounding bone was set on the outside 5 mm of a lesion. The image density was measured using an 8 bit gray value. Subsequently, the gray value was compared with CT number (Hounsfield Units). The image density of the lesion was lower than that of the surrounding bone in all cases. The image density and size showed that they were relativity at the anatomical site of the mandible and lesion of mandible. CT number showed that they did not have correlation, however the image density had correlation with the anatomical site of mandible and size of the lesion. The image density of radiolucent mandibular lesions was distributed over a wide range in all cases. Sometimes the image density of lesion was similar to that of surrounding bone. The results of this study suggest that it is difficult to detect radiolucent mandibular bone lesions by using only the image density in panoramic radiograph. However, we think that it is possible to detect radiolucent lesions on panoramic radiograph with CAD when the difference between the image density of a radiolucent lesion and the image density of the surrounding bone is apparent. We examined the image density of intramandibular lesions on panoramic radiographs. We suggest that the image density of both lesion and surrounding bone are necessary for automatic detection of radiolucent lesions using CAD.", "subitem_description_type": "Other"}]}, "item_10002_full_name_75": {"attribute_name": "著者別名", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "8840", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "YOSHIDA, HIROYASU"}]}, {"nameIdentifiers": [{"nameIdentifier": "4931", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "IIDA, YUKIHIRO"}]}, {"nameIdentifiers": [{"nameIdentifier": "8841", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "NISHIYAMA, WATARU"}]}, {"nameIdentifiers": [{"nameIdentifier": "4219", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "FUKUI, TATSUMASA"}]}, {"nameIdentifiers": [{"nameIdentifier": "343", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "KATSUMATA, AKITOSHI"}]}]}, "item_10002_radio_89": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_radio_item": "application/pdf"}]}, "item_10002_select_90": {"attribute_name": "情報源", "attribute_value_mlt": [{"subitem_select_item": "手入力"}]}, "item_10002_source_id_82": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2433-0191", "subitem_source_identifier_type": "ISSN"}]}, "item_10002_textarea_76": {"attribute_name": "所属", "attribute_value_mlt": [{"subitem_textarea_value": "朝日大学歯学部口腔病態医療学講座歯科放射線学分野\nDepartment of Oral Radiology, Asahi University, School of Dentistry"}, {"subitem_textarea_value": "朝日大学歯学部口腔病態医療学講座歯科放射線学分野\nDepartment of Oral Radiology, Asahi University, School of Dentistry"}, {"subitem_textarea_value": "朝日大学歯学部口腔病態医療学講座歯科放射線学分野\nDepartment of Oral Radiology, Asahi University, School of Dentistry"}, {"subitem_textarea_value": "朝日大学歯学部口腔病態医療学講座歯科放射線学分野\nDepartment of Oral Radiology, Asahi University, School of Dentistry"}]}, "item_10002_textarea_78": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_textarea_value": "岐阜歯科学会"}]}, 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"nameIdentifiers": [{"nameIdentifier": "8839", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "9000351236942", "nameIdentifierScheme": "CiNii ID", "nameIdentifierURI": "http://ci.nii.ac.jp/nrid/9000351236942"}]}, {"creatorNames": [{"creatorName": "福井, 達真"}], "nameIdentifiers": [{"nameIdentifier": "4210", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "9000016502247", "nameIdentifierScheme": "CiNii ID", "nameIdentifierURI": "http://ci.nii.ac.jp/nrid/9000016502247"}]}, {"creatorNames": [{"creatorName": "勝又, 明敏"}], "nameIdentifiers": [{"nameIdentifier": "8842", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "1000030195143 ", "nameIdentifierScheme": "CiNii ID", "nameIdentifierURI": "http://ci.nii.ac.jp/nrid/1000030195143 "}, {"nameIdentifier": "30195143", "nameIdentifierScheme": "e-Rad", "nameIdentifierURI": "https://kaken.nii.ac.jp/ja/search/?qm=30195143"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-05-18"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "gifushika433_8392_2017.pdf", "filesize": [{"value": "2.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 2400000.0, "url": {"label": "gifushika433_8392_2017", "url": "https://asahi-u.repo.nii.ac.jp/record/5313/files/gifushika433_8392_2017.pdf"}, "version_id": "4ff1e2a5-14dd-47bc-af03-fc83964a08e3"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "コンピュータ支援診断", "subitem_subject_scheme": "Other"}, {"subitem_subject": "画像濃度", "subitem_subject_scheme": "Other"}, {"subitem_subject": "パノラマX線画像", "subitem_subject_scheme": "Other"}, {"subitem_subject": "透過性病巣", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Computer Assisted Diagnosis", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Computer Assisted Detection", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "CAD", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "image density", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "panoramic radiograph", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "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": "departmental bulletin paper", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "パノラマX線画像における顎骨X線透過性病巣の画像濃度", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "パノラマX線画像における顎骨X線透過性病巣の画像濃度"}, {"subitem_title": "Image density of radiolucent intramandibular lesions in panoramic radiograph", "subitem_title_language": "en"}]}, "item_type_id": "10002", "owner": "21", "path": ["357"], "permalink_uri": "https://asahi-u.repo.nii.ac.jp/records/5313", "pubdate": {"attribute_name": "公開日", "attribute_value": "2017-05-18"}, "publish_date": "2017-05-18", "publish_status": "0", "recid": "5313", "relation": {}, "relation_version_is_last": true, "title": ["パノラマX線画像における顎骨X線透過性病巣の画像濃度"], "weko_shared_id": -1}