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Vision and Image Analysis Group (VIA) Anthony P. Reeves School of Electrical and Computer Engineering Cornell University © A. P. Reeves 2007 VIA Group Research Program Mission: A. Accurate measurements from multidimensional images B. Computer methods for image analysis Collaborative programs: • Web-based collaborative research in clinical studies with Weill Medical College and over 40 medical institutions world-wide. (computer-aided diagnosis) • Web-based collaborative programs in Biological research involving image analysis Web-based image management VIA Image analysis research Experimental Biology Research ELCAP Clinical Studies and Drug Trials … Individual Research Projects (Individual protocols) ELCAP remote sites (Standardized Protocols) Clinical Studies © A. P. Reeves 2007 Early Lung Cancer Action Program (ELCAP) ELCAP Management System (EMS) www.ielcap.org Goals: • To facilitate data pooling between different cancer studies • To advance the state-of-the art in web-based clinical trials Institution 1 Institution 2 • • • Institution n EMS Coordinating Center Institution k All study information Including images in a single database Principal Investigator Center Personnel: Study Monitoring Study Coordinator CT Scanner/ PACS Computer-aided diagnosis for Lung cancer Web-accessible capabilities for Clinical Studies • Detecting pulmonary nodules in CT scans (are there abnormalities present?) • Measuring growth rates of pulmonary nodules (is it cancer?) • Measuring emphysema from CT images Ongoing Research • Characterizing pulmonary nodules from shape features (is it cancer?) • Evaluating coronary arteries • … Interactive Image Review Web integrated Interactive review of all study image data Radiology, Pathology, etc. Automated Nodule Detection Web integrated • Nodule candidates presented on coronal image • Clicking on a location links to the nodule analysis 3D Nodule Analysis (A) Image segmentation Web integrated 3D Nodule Analysis (B) Axial visualizations at three times Web integrated T1 T2 T3 3D Nodule Analysis (C) Nodule growth Analysis T1 T2 T3 T1-T2 T1-T3 T2-T3 Web integrated Measuring Emphysema from CT Images Web integrated • • Example CT scan slice, red denotes emphysematous areas under -910 H.U. ~25% for this scan Emphysema Index (EI) measures the percentage of lung volume less than a certain density, attempting to measure the amount of dead air-space present in the lung Symbiotic Collaboration • Web-based study management system with image capabilities – Well controlled multi-center studies that can pool all the data for clinical results (ELCAP) – A large document image database is established for CAD tools development (VIA) – New CAD tools made available to clinical studies via the web system (ELCAP and VIA) Research: Can we diagnose cancer from a single CT scan Ongoing Research Malignant Benign • Much more difficult problem than growth measurement • Research is limited by the lack of appropriate documented image databases Image Analysis Applications © A. P. Reeves 2007 Observer studies on lesion marking Web integrated Vessel Diameter Tracking in Intravital Microscopy Image Sequences Web integrated Case TM0044 34 Diameter (pixel) 32 ground truth automated 30 28 26 24 22 20 Automatic tracking of image sequence 18 16 0 5 10 15 20 Frame number 25 •Investigate causes of capillary dilation •Study effects of various stimuli on vessels Web system replaces tedious manual measurements and provides more accurate results 30 Bacteria Enumeration in Florescent Microscope Images Web integrated Enterrococcus Bacteria Results Web system replaces tedious manual counting Shear Cell Tracking Completed Research Tracking colliding spheres In microgravity conditions 3D Image Visualization Ongoing Research Original CT image sequence 3D Volume rendered sequence 3D visualization is becoming essential for image interpretation VIA Research Summary Theme: accurate measurements from medical and biological images Issue: How to improve measurement accuracy when the exact answer (ground truth) is not known. • • • Web Site www.via.cornell.edu Recent Papers www.via.cornell.edu/papers Account: via Password: papers21 Web-based image tools www.via.cornell.edu/databases/ Research Collaboration Interests: Image analysis, computer or manual and web-based image archive