{"id":14037,"date":"2023-10-05T18:01:15","date_gmt":"2023-10-05T16:01:15","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=14037"},"modified":"2024-01-05T13:36:07","modified_gmt":"2024-01-05T12:36:07","slug":"orthodontic-treatment-planning","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/orthodontic-treatment-planning\/","title":{"rendered":"Orthodontic treatment planning"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Tomasz Szczepa\u0144ski<\/h2>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Accurate segmentation of individual teeth from Cone-Beam Computed Tomography (CBCT) scans is essential for orthodontic treatment planning.&nbsp;Segmentation of teeth from CBCT images helps&nbsp;with&nbsp;digital implant planning, assessing the quality of diagnoses, designing surgical guides, and constructing orthodontic setups.&nbsp;Manual segmentation is time-consuming and requires specialized software, making automatic segmentation methods highly desirable. Segmentation is a crucial step that opens the door to an in-depth examination and analysis of the patient&#8217;s condition. High segmentation precision is necessary to develop reliable tools and models to support the orthodontist.&nbsp;Assessing the accuracy of tooth segmentation is challenging, and conventional metrics are not always applicable due to the complex root shapes. Our research focuses&nbsp;on improving the quality of segmentation and the reliable evaluation of the results obtained.&nbsp;One of the approaches we seek to improve the quality of segmentation is using statistical geometry of tooth morphology.&nbsp;&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"457\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-1024x457.png\" alt=\"\" class=\"wp-image-14038\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-1024x457.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-300x134.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-768x343.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8.png 1390w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Figure:&nbsp;Based on the statistical shape model of normal dentition, we find tooth centroids, the basis for determining the statistical tooth positions.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"491\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-1024x491.png\" alt=\"\" class=\"wp-image-14039\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-1024x491.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-300x144.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-768x368.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9.png 1368w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Figure:&nbsp;3D visualization of the segmented tooth.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<figure class=\"wp-block-video aligncenter eplus-wrapper\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Sano_website_project_TomaszSzczepanski_video-1.mp4\"><\/video><\/figure>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<figure class=\"wp-block-video aligncenter eplus-wrapper\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Sano_website_project_TomaszSzczepanski_video2-1.mp4\"><\/video><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Accurate segmentation of individual teeth from Cone-Beam Computed Tomography (CBCT) scans is essential for orthodontic treatment planning.\u00a0<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[17],"class_list":["post-14037","research","type-research","status-publish","hentry","research_type-research-topics","research_team-health-informatics-group-higs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - 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Segmentation is a crucial step that opens the door to an in-depth examination and analysis of the patient's condition. High segmentation precision is necessary to develop reliable tools and models to support the orthodontist.&nbsp;Assessing the accuracy of tooth segmentation is challenging, and conventional metrics are not always applicable due to the complex root shapes. Our research focuses&nbsp;on improving the quality of segmentation and the reliable evaluation of the results obtained.&nbsp;One of the approaches we seek to improve the quality of segmentation is using statistical geometry of tooth morphology.&nbsp;&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Accurate segmentation of individual teeth from Cone-Beam Computed Tomography (CBCT) scans is essential for orthodontic treatment planning.&nbsp;Segmentation of teeth from CBCT images helps&nbsp;with&nbsp;digital implant planning, assessing the quality of diagnoses, designing surgical guides, and constructing orthodontic setups.&nbsp;Manual segmentation is time-consuming and requires specialized software, making automatic segmentation methods highly desirable. Segmentation is a crucial step that opens the door to an in-depth examination and analysis of the patient's condition. High segmentation precision is necessary to develop reliable tools and models to support the orthodontist.&nbsp;Assessing the accuracy of tooth segmentation is challenging, and conventional metrics are not always applicable due to the complex root shapes. Our research focuses&nbsp;on improving the quality of segmentation and the reliable evaluation of the results obtained.&nbsp;One of the approaches we seek to improve the quality of segmentation is using statistical geometry of tooth morphology.&nbsp;&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-wPmuNy","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"align":"center","id":14038,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-IyQ3EU","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-1024x457.png\" alt=\"\" class=\"wp-image-14038\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu8-1024x457.png\" alt=\"\" class=\"wp-image-14038\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-Jqw7Ca","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-OyYKqZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Figure:&nbsp;Based on the statistical shape model of normal dentition, we find tooth centroids, the basis for determining the statistical tooth positions.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Figure:&nbsp;Based on the statistical shape model of normal dentition, we find tooth centroids, the basis for determining the statistical tooth positions.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-cBpdVX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"align":"center","id":14039,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-wafS4u","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-1024x491.png\" alt=\"\" class=\"wp-image-14039\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu9-1024x491.png\" alt=\"\" class=\"wp-image-14039\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-rM9FzW","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-n3yHiV","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Figure:&nbsp;3D visualization of the segmented tooth.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Figure:&nbsp;3D visualization of the segmented tooth.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-cxpuhg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/video","attrs":{"id":14041,"align":"center","epAnimationGeneratedClass":"edplus_anim-feqGW3","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-video aligncenter eplus-wrapper\"><video controls src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Sano_website_project_TomaszSzczepanski_video-1.mp4\"><\/video><\/figure>\n","innerContent":["\n<figure class=\"wp-block-video aligncenter 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