{"_buckets": {"deposit": "c26d4873-de41-4129-b4a7-c45df055d832"}, "_deposit": {"id": "7543", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "7543"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:00007543", "sets": ["10"]}, "item_5_alternative_title_18": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "IMAGING AND TREATING TEMPOROMANDIBULAR JOINT CONDITIONS"}]}, "item_5_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2008-06", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "1 Suppl.", "bibliographicPageEnd": "S213", "bibliographicPageStart": "S212", "bibliographicVolumeNumber": "3", "bibliographic_titles": [{"bibliographic_title": "International Journal of Computer Assisted Radiology and Surgery"}]}]}, "item_5_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "To improve the accuracy of bone segmentation procedures in dental CBCT images, several two- and three-dimensional (2D \u0026 3D) filtering methods were examined. The comparison with the\nprocessing for MDCT images was also done. CBCT images having\nhigh and isotropic spatial resolution, but the noise is comparatively\nhigh. By reducing the noise in images, the attempt to improve the\nMPR image quality was carried out. And the 3D region growing\nmethod was examined for the volumetric data of CBCT images for\nthe bone segmentation. CBCT and MDCT examinations were taken\nusing CB Throne (Hitachi Medical Systems, Japan) and Somatom\nPlus 4 (Siemens, Germany), respectively. Principal exposure parameters\nwere as follows; I-mode, 10 cm FOV in diameter, 120 kV,\n15 mA, 0.2 mm in slice thickness and 10 s exposure time (CBCT)\nand 120kV, 130 effective mAs, 0.5 mm slice thickness (MDCT).\nTwo-D and 3D filtering procedures for Gaussian smoothing, Laplacian\nsharpening, etc. were applied for the improvement of MPR\nimages of both CT modalities. Images processed were a clinical case\nof Mucocele in the maxillary sinus. The 2D and 3D filtering procedures\nfor Gaussian smoothing, Laplacian sharpening worked for the\nimprovement in the different way. In comparison with MDCT images,\nthe difference was not large. The effect of the simple noise reduction\nfilter is seemed to be no changes in bone segmentation in spite of\nextreme reduced noise. Due to the example which the Sobel filtering,\nnoise-resistant edge-detection filter, was applied as either 2D or 3D\nlocal operator, the difference was appeared less significantly in CBCT\nimages than MDCT images. For the imaging of dento-alveolar and\nmaxillary sinus regions, the depiction of thin bone structure with the\nhigh accuracy is important. Three-D filtering methods have the possibility\nto improve the accuracy of bone segmentation in threedimensional\ndisplaying of CBCT images. Based on these finding 3D\nregion growing method was examined for 3D visualization. The bone\nregion on CBCT images was extracted using the 3D region growing\nmethod.", "subitem_description_type": "Abstract"}]}, "item_5_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "Proceedings of the 22nd International Congress and Exhibition, Barcelona, Spain, June 25-28, 2008", "subitem_description_type": "Other"}]}, "item_5_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "Springer"}]}, "item_5_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://doi.org/10.1007/s11548-008-0196-7", "subitem_relation_type_select": "DOI"}}]}, "item_5_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Hayakawa, Y."}], "nameIdentifiers": [{"nameIdentifier": "38586", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Sagawa, M."}], "nameIdentifiers": [{"nameIdentifier": "38587", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Kawaguchi, T."}], "nameIdentifiers": [{"nameIdentifier": "38588", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Miyoseta, Y."}], "nameIdentifiers": [{"nameIdentifier": "38589", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamashita, H."}], "nameIdentifiers": [{"nameIdentifier": "38590", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2016-11-22"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "Hayakawa_S212-S213_final_CARS2008.pdf", "filesize": [{"value": "137.3 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137300.0, "url": {"label": "Hayakawa_S212-S213_final_CARS2008.pdf", "url": "https://kitami-it.repo.nii.ac.jp/record/7543/files/Hayakawa_S212-S213_final_CARS2008.pdf"}, "version_id": "aea63620-dada-4471-bb78-56d61878c47c"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Bone segmentation", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Cone beam CT", "subitem_subject_scheme": "Other"}, {"subitem_subject": "3D filter", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Region growing", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "Improvement of the accuracy of bone segmentation procedures applied to CBCT images", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Improvement of the accuracy of bone segmentation procedures applied to CBCT images"}]}, "item_type_id": "5", "owner": "1", "path": ["10"], "permalink_uri": "https://kitami-it.repo.nii.ac.jp/records/7543", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2013-03-18"}, "publish_date": "2013-03-18", "publish_status": "0", "recid": "7543", "relation": {}, "relation_version_is_last": true, "title": ["Improvement of the accuracy of bone segmentation procedures applied to CBCT images"], "weko_shared_id": 3}