North Carolina State University
Department of Electrical and Computer Engineering
Vision, Information, Statistical Signal Theories and Applications Group

 

 

 

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     VISSTA Group Seminar Series
   Fall 2003 Schedule

Date: Friday, October 3, 2003

Time: 11:00 AM

Location: EGRC building - Room # 136

Speaker: Dr. Stephen R. Aylward
                 Department of Computer Science, UNC-Chapel Hill

Title:  The CADDLab and 3D Ultrasound Augmentation for Surgical Guidance

Abstract:

The Computer-Aided Diagnosis and Display Lab (CADDLab) in the Department of Radiology at the University of North Carolina at Chapel Hill is supporting a variety of medical image analysis tasks throughout UNC's medical school. In this talk I will provide an overview of those projects and details regarding our intra-operative 3D ultrasound annotation system.

Intra-operative 3D ultrasound annotation is the process we developed to transcribe surgical plans and tumor locations from pre-operative CT and MR images into intra-operative 3D ultrasound images by registering the vasculature visible in both. We are initially applying ultrasound annotation such that liver lesions, visible on  pre-operative MR or CT and yet NOT visible on intra-operative ultrasound, can still be treated using ultrasound-guided, percutaneous, radio-frequency ablation.


Date: Friday, October 31, 2003

Time: 11:00 AM

Location: EGRC building - Room # 136

Speaker: Dr. Marc Pollefeys
                 Department of Computer Science, UNC-Chapel Hill

Title:  Visual 3D Modeling from Images

Abstract:

In this talk a complete approach to reconstruct visual 3D models from camera images is presented. The approach can deal with uncalibrated image sequences acquired with a hand-held camera. Based on tracked or matched features the relation between multiple views are computed. From this both the structure of the scene and the motion of the camera are retrieved. The ambiguity on the reconstruction is restricted from projective to metric through self-calibration. A flexible multi-view stereo matching scheme is used to obtain a dense estimation of the surface geometry. From the computed data different types of visual models are constructed. Both 3D surface models and lightfield representations can be constructed. The recovered information can also be used to augment video footage with virtual object. The proposed approach will also be illustrated with applications.

 

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For more information about the talks or to be included in our E-mail list, please contact A. Ben Hamza at (919) 513-2327 or send e-mail to :

This page was last modified on September 2003.