{"id":160722,"date":"2011-05-07T00:00:00","date_gmt":"2011-05-07T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/exploring-the-potential-for-touchless-interaction-in-image-guided-interventional-radiology\/"},"modified":"2020-03-13T08:49:00","modified_gmt":"2020-03-13T15:49:00","slug":"exploring-the-potential-for-touchless-interaction-in-image-guided-interventional-radiology","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/exploring-the-potential-for-touchless-interaction-in-image-guided-interventional-radiology\/","title":{"rendered":"Exploring the potential for touchless interaction in image-guided interventional radiology"},"content":{"rendered":"<div class=\"asset-content\">\n<p>The growth of image-guided procedures in surgical settings has led to an increased need to interact with digital images under sterile conditions. Traditional touch-based interaction techniques\u00a0 present challenges for managing asepsis in these environments leading to suggestions that new touchless interaction techniques may provide a compelling set of alternatives. In this paper we explore the potential for touchless interaction in image-guided Interventional Radiology (IR) through an ethnographic study. The findings highlight how the distribution of labour and spatial practices of this work are organised with respect to concerns about asepsis and radiation exposure, the physical and cognitive demands of artefact manipulation, patient management, and the construction of \u201cprofessional vision\u201d. We discuss the implications of these key features of the work for touchless interaction technologies within IR and suggest that such issues will be of central importance in considering new input techniques in other medical settings.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The growth of image-guided procedures in surgical settings has led to an increased need to interact with digital images under sterile conditions. Traditional touch-based interaction techniques\u00a0 present challenges for managing asepsis in these environments leading to suggestions that new touchless interaction techniques may provide a compelling set of alternatives. In this paper we explore the [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Kenton O&#039;Hara","user_id":"32527"},{"type":"user_nicename","value":"Abigail Sellen","user_id":"31112"},{"type":"user_nicename","value":"Antonio Criminisi","user_id":"31055"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of CHI 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10:57:24","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/touchless-interaction-in-medical-imaging\/","post_excerpt":"This project explores the use of new touchless technology in medical practice. With advances in medical imaging over the years, surgical procedures have become increasingly reliant on a range of digital imaging systems for navigation, reference, diagnosis and documentation. The need to interact with images in these surgical settings offers particular challenges arising from the need to maintain boundaries between sterile and non-sterile aspects of the surgical environment and practices. Traditional input devices such as&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170869"}]}},{"ID":170652,"post_title":"Human Pose Estimation for Kinect","post_name":"human-pose-estimation-for-kinect","post_type":"msr-project","post_date":"2011-01-25 09:18:30","post_modified":"2022-09-07 10:53:34","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/human-pose-estimation-for-kinect\/","post_excerpt":"Kinect for Xbox 360 and Windows makes you the controller by fusing 3D imaging hardware with markerless human-motion capture software. Our group investigates such software. Mixing computer vision, graphics, and machine learning techniques, we look at how to build algorithms that can learn to recognize human poses quickly and reliably. Images Traditional RGB image Image from new depth sensing camera Body parts inferred by our recognition algorithm 3D body part position proposals Related Press Binary&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/170652"}]}},{"ID":169659,"post_title":"Project InnerEye - Democratizing Medical Imaging AI","post_name":"medical-image-analysis","post_type":"msr-project","post_date":"2008-10-07 05:22:18","post_modified":"2023-07-28 05:51:32","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/medical-image-analysis\/","post_excerpt":"InnerEye is a research project that uses state of the art\u00a0machine learning\u00a0technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/169659"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/160722","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/160722\/revisions"}],"predecessor-version":[{"id":628329,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/160722\/revisions\/628329"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=160722"}],"wp:term":[{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=160722"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=160722"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=160722"},{"taxonomy":"msr-publisher","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publisher?post=160722"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=160722"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=160722"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=160722"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=160722"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=160722"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=160722"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=160722"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=160722"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}