Erik L. Ridley[email protected]PACS/VNAThe power of automating workflow to an external 3D labEducation Exhibit | LL-INE1147-WEA | Lakeside Learning CenterIn this Lakeside Learning Center exhibit, visitors will be able to learn about an automated system for transferring images and clinical data to an external 3D lab.November 14, 2010Image ProcessingComputer GPUs power 3D CAD for multiple sclerosisEducation Exhibit | LL-INE1200-TUA | Lakeside Learning CenterIn this exhibit, researchers from the University of Southern California in Los Angeles will present how graphics processing units (GPUs) can improve the performance of 3D computer-aided detection (CAD) software for multiple sclerosis.November 14, 2010Advanced VisualizationHow to be efficient in reading VC CADEducation Exhibit | LL-GIE2302 | Lakeside Learning CenterVisitors to this exhibit will receive practical tips on getting the most from their virtual colonoscopy computer-aided detection (CAD) software.November 14, 2010Image ProcessingUsing 3D in patients with penetrating traumaEducation Exhibit | LL-ERE2249 | Lakeside Learning CenterVisitors to this exhibit in the Lakeside Learning Center will learn how 3D postprocessing imaging techniques can assist in trauma-related patient care.November 14, 2010MRICAD system can quantify multiple sclerosis lesionsThursday, December 2 | 12:15 p.m.-12:45 p.m. | LL-INS-TH1A | Lakeside Learning CenterIn this poster presentation, researchers from the University of Southern California Keck School of Medicine in Los Angeles will discuss developments with their multiple sclerosis lesion computer-aided detection (CAD) algorithm.November 14, 2010Image ProcessingVisual search patterns of volumetric datasets may reveal muchThursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ10-06 | Room S402ABResearchers from Stanford University in Stanford, CA, will share their work in this Thursday session on investigating the perceptual capabilities of the human visual system in relation to medical images.November 14, 2010Advanced VisualizationUsing VC CAD as second reader performs bestThursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ05-06 | Room E353CIn this paper presentation, researchers will share their findings from evaluating different reading methods for virtual colonoscopy computer-aided detection (CAD) by experienced readers.November 14, 2010Advanced VisualizationUsing VC CAD as first reader offers efficiency gainsThursday, December 2 | 11:10 a.m.-11:20 a.m. | SSQ05-05 | Room E353CIn this scientific session, a study team from Italy will discuss how the use of virtual colonoscopy computer-aided detection (CAD) as a first reader can reduce reading times without sacrificing performance.November 14, 2010Advanced VisualizationVC CAD can be used with, without fecal taggingThursday, December 2 | 11:00 a.m.-11:10 a.m. | SSQ05-04 | Room E353CA research group will present data that showed no significant performance difference in employing virtual colonoscopy computer-aided detection (CAD) on patients with or without fecal tagging.November 14, 2010Image ProcessingAdvanced visualization method slashes VC interpretation timesThursday, December 2 | 10:50 a.m.-11:00 a.m. | SSQ05-03 | Room E353CIn this paper presentation, a German team will share how a new 3D visualization technique can provide fast and accurate interpretation of virtual colonoscopy images.November 14, 2010Previous PagePage 233 of 393Next PageTop StoriesCTUsing GPT‑4o with CT exams helps diagnose ovarian cancer earlierEarly detection of ovarian cancer is a persistent challenge, with more than half still diagnosed at metastatic stages.Womens ImagingSurvey: Nearly 4 out of 5 practices short on breast imagersRadiation Oncology/TherapyPooled evidence: Lu-177 PSMA-617 vs. established therapies in mCRPCMRICardiac MRI-based ML model predicts MACE risk for STEMI patientsSponsor ContentHow Agentic AI Is Transforming Radiology Ops
