{"id":3704,"date":"2022-11-27T20:36:05","date_gmt":"2022-11-27T19:36:05","guid":{"rendered":"http:\/\/www.mt.rub.de\/ieee-ultra-sr-challenge\/"},"modified":"2023-01-30T19:30:34","modified_gmt":"2023-01-30T18:30:34","slug":"ieee-ultra-sr-challenge","status":"publish","type":"post","link":"https:\/\/www.mt.rub.de\/de\/ieee-ultra-sr-challenge\/","title":{"rendered":"Doppelter Erfolg bei IEEE Ultra-SR Challenge"},"content":{"rendered":"

Unser Beitrag zum Wettbewerb mit Thomas Lisson als Erstautor belegte den ersten Platz in der Kategorie Lokalisierung und den zweiten Platz in der Kategorie Lokalisierung und Tracking. 24 internationale Gruppen mit 53 Beitr\u00e4gen in 3 Kategorien nahmen an dem Wettbewerb teil.<\/p>\n

Auf dem IEEE International Ultrasonics Symposium 2022 wurde erstmals ein Wettbewerb f\u00fcr neuartige hochaufl\u00f6sende Ultraschallmethoden der Ultraschall-Lokalisationsmikroskopie ausgeschrieben. Die Ultraschall-Lokalisierungsmikroskopie wurde erstmals 2011 gleichzeitig von uns und der Gruppe von Michael Tanter aus Paris ver\u00f6ffentlicht. Bei dieser Methode werden gasgef\u00fcllte Mikrobl\u00e4schen, die als handels\u00fcbliches Ultraschallkontrastmittel injiziert werden, mit hoher Genauigkeit im Gef\u00e4\u00dfsystem des K\u00f6rpers lokalisiert und verfolgt. Auf diese Weise erh\u00e4lt man Bilder der Mikrogef\u00e4\u00dfe, die weit unter der herk\u00f6mmlichen Aufl\u00f6sungsgrenze der Ultraschallbildgebung von einer halben Wellenl\u00e4nge liegen. Die Algorithmen werden kontinuierlich weiterentwickelt und in ersten klinischen Studien im Rahmen zweier DFG-Projekte zur Brustkrebsdiagnostik und zur Bildgebung der Mikrogef\u00e4\u00dfe der Niere in Kooperation mit der Arbeitsgruppe von Fabian Kiessling am Universit\u00e4tsklinikum der RWTH Aachen eingesetzt.<\/p>\n

Der Ultra-SR diente dazu, die Genauigkeit der Algorithmen zur Lokalisierung und Verfolgung von Mikroblasen anhand von Videosequenzen mit Testdatens\u00e4tzen zu \u00fcberpr\u00fcfen.<\/p>\n","protected":false},"excerpt":{"rendered":"

Unser Beitrag zum Wettbewerb mit Thomas Lisson als Erstautor belegte den ersten Platz in der Kategorie Lokalisierung und den zweiten Platz in der Kategorie Lokalisierung und Tracking.<\/p>\n","protected":false},"author":1,"featured_media":3703,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-3704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nDoppelter Erfolg bei IEEE Ultra-SR Challenge - Lehrstuhl f\u00fcr Medizintechnik<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mt.rub.de\/de\/ieee-ultra-sr-challenge\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Doppelter Erfolg bei IEEE Ultra-SR Challenge - 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