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Visualization & Quantitation Radiology 3D Lab (Clinical, Research, Teaching)

Radiological Image and Information Processing Professor Sandy Napel. Visualization & Quantitation Radiology 3D Lab (Clinical, Research, Teaching) CTA, Virtual Colonoscopy, STS-MIP, AutoCPR …. Computer-Aided Detection Algorithms Effect on interpretation accuracy and efficiency Colon, Lung.

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Visualization & Quantitation Radiology 3D Lab (Clinical, Research, Teaching)

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  1. Radiological Image and Information Processing Professor Sandy Napel • Visualization & Quantitation • Radiology 3D Lab (Clinical, Research, Teaching) • CTA, Virtual Colonoscopy, STS-MIP, AutoCPR… • Computer-Aided Detection • Algorithms • Effect on interpretation accuracy and efficiency • Colon, Lung • Content-based Image Retrieval • Semantic, texture, shape features • “gold standard” setting • similarity and performance metrics • Decision Support • correlate image features with database • outcomes • molecular properties from biopsies or excisions • viable treatments example query result set similarity standard accuracy > 90% X (Y) = rank (1 ≤ score ≤ 5) • Interpretation Efficiency • Human-computer interaction • Eye gaze tracking technology • What was seen? Danny Chris Martin Yongjun Florian Daniel Jiajing detection indication gaze cone Hayit Jessica Jing-yu Cesar Grace Sandy David gaze focus nodule Front row: Hayit Greenspan, Jessica Faruque, Jing-yu Cui, Cesar Rodriguez, Grace Tye, Sandy Napel; Back row: FlorianSchmitzberger, Danny Korenblum, Daniel Rubin, Chris Beaulieu, Martin Tall, Yongjun Ma, JiajingXu,David Paik; Absent: Geoff Rubin, AnkitGupta September 2009 ISIS

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