{"id":14026,"date":"2023-10-05T17:40:24","date_gmt":"2023-10-05T15:40:24","guid":{"rendered":"https:\/\/sano.science\/?post_type=research&#038;p=14026"},"modified":"2024-01-05T13:36:55","modified_gmt":"2024-01-05T12:36:55","slug":"robotic-assisted-ultrasound-raus","status":"publish","type":"research","link":"https:\/\/sano.science\/research\/robotic-assisted-ultrasound-raus\/","title":{"rendered":"Robotic Assisted UltraSound (RAUS)"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Micha\u0142 Motak<\/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\">Robotic-assisted ultrasound imaging utilizes high precision robotic system to improve the acquisition of ultrasound images. Ultrasound examination requires highly skilled and experienced sonographers, thus automation can support this process by making it faster and less operator dependent.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The goal of the project is to create a robotic system for automated ultrasound examination which utilizes Reinforcement Learning in realistic virtual simulation environments for robotic trajectory learning. Subsequently, the trajectories learned will be transferred to a real environment by exploiting adaptation techniques based on user demonstrations and diffusion models to support generalization to new application contexts. Furthermore, deep learning computer vision methods will support decision making of the robot by analyzing ultrasound image in real time, directing it in the desired direction and allowing the automatic localization of anomalies (e.g. pathological areas).<\/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 is-resized eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"438\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-1024x438.jpg\" alt=\"\" class=\"wp-image-14027\" style=\"width:931px;height:398px\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-1024x438.jpg 1024w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-300x128.jpg 300w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-768x328.jpg 768w, https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5.jpg 1286w\" 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: An example diagram of hardware and software modules of the RAUS system.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Source: Image courtesy of Kaminski JT et al. \u201cUltrasound Imaging with Force Feedback for Assessment of Thyroid Diseases\u201d Proc SPIE Int Soc Opt Eng. 2020 doi: 10.1117\/12.2551118.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Robotic-assisted ultrasound imaging utilizes high precision robotic system to improve the acquisition of ultrasound images. <\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[17],"class_list":["post-14026","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 v27.3 (Yoast SEO v27.3) - 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Ultrasound examination requires highly skilled and experienced sonographers, thus automation can support this process by making it faster and less operator dependent.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Robotic-assisted ultrasound imaging utilizes high precision robotic system to improve the acquisition of ultrasound images. Ultrasound examination requires highly skilled and experienced sonographers, thus automation can support this process by making it faster and less operator dependent.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-MVvGKi","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-1AAWw4","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The goal of the project is to create a robotic system for automated ultrasound examination which utilizes Reinforcement Learning in realistic virtual simulation environments for robotic trajectory learning. Subsequently, the trajectories learned will be transferred to a real environment by exploiting adaptation techniques based on user demonstrations and diffusion models to support generalization to new application contexts. Furthermore, deep learning computer vision methods will support decision making of the robot by analyzing ultrasound image in real time, directing it in the desired direction and allowing the automatic localization of anomalies (e.g. pathological areas).<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The goal of the project is to create a robotic system for automated ultrasound examination which utilizes Reinforcement Learning in realistic virtual simulation environments for robotic trajectory learning. Subsequently, the trajectories learned will be transferred to a real environment by exploiting adaptation techniques based on user demonstrations and diffusion models to support generalization to new application contexts. Furthermore, deep learning computer vision methods will support decision making of the robot by analyzing ultrasound image in real time, directing it in the desired direction and allowing the automatic localization of anomalies (e.g. pathological areas).<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-3L81bF","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":14027,"width":931,"height":398,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-NOo1f4","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-1024x438.jpg\" alt=\"\" class=\"wp-image-14027\" style=\"width:931px;height:398px\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large is-resized eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/Bez-tytulu5-1024x438.jpg\" alt=\"\" class=\"wp-image-14027\" style=\"width:931px;height:398px\"\/><\/figure>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-ONPGXp","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-2BK9uJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Figure: An example diagram of hardware and software modules of the RAUS system.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Figure: An example diagram of hardware and software modules of the RAUS system.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-L38p0i","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Source: Image courtesy of Kaminski JT et al. \u201cUltrasound Imaging with Force Feedback for Assessment of Thyroid Diseases\u201d Proc SPIE Int Soc Opt Eng. 2020 doi: 10.1117\/12.2551118.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Source: Image courtesy of Kaminski JT et al. \u201cUltrasound Imaging with Force Feedback for Assessment of Thyroid Diseases\u201d Proc SPIE Int Soc Opt Eng. 2020 doi: 10.1117\/12.2551118.<\/p>\n"]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14026","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":3,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14026\/revisions"}],"predecessor-version":[{"id":14666,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/14026\/revisions\/14666"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=14026"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=14026"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=14026"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}