Co-registration of Nuclear Medicine Images with Anatomical Images for Attenuation Correction and Localization of Activity

Medical image registration is the task of bringing two images into spatial alignment. Automatic and accurate 3D co-registration of nuclear medicine 3D image data with 3D anatomical data is crucial for improving the functional image reconstruction through anatomy-based attenuation correction. Co-registration is also important for the fusion of anatomical data with functional information. Most registration methods involve optimizing an intensity-based similarity metric that is defined by the transformation parameters.

Nonlinear Shape Statistics for Analysis of Musculoskeletal Structures and Anomalies

This internship will undertake an investigation of novel 3D shape descriptors relevant to three musculoskeletal disorders. The first is an investigation of the relationship between the shape of the bicipital groove of the proximal humerus (a groove in the head of the upper arm bone) and the incidence of injury to the long biceps tendon which is retained in the bicipital groove. The second is to characterize the shape of the spinal canal with the objective of correlating this characterization to a clinically-established measurement for spinal stenosis, or a narrowing of the spinal canal.

Mathematical and Computational Analysis of Shape from MR Images for the Study of Multiple Sclerosis

Everyday, three Canadians are diagnosed with multiple sclerosis (MS), which affects the brain and spinal cord, causing lesions and atrophy. MS produces deformation in the central nervous system, causing disability and in extreme cases, death. In the human brain, one of the many structures affected by MS is the corpus collosum. The corpus collosum contains millions of nerve bundles which connect the two brain hemispheres by acting as a bridge for the inter-hemispheric communication. Deformation of the corpus collosum, therefore, causes disruption of nerve impulses along the nerve fibres.

Statistical Learning for Technical Portfolio Management

ApSTAT Technologies Inc. provides insurance companies with analytical systems based on exclusive data mining technologies, enabling insurers to maximize the profitability of their operations. The company is working with a large financial institution to develop new financial products based on statistical learning techniques. The research team based at l’Université de Montréal had two objectives.

RuleML FOAF: A Web Rule Language for Social Networking

NRC-IIT creates and commercializes software and systems technology to help Canada prosper in the knowledge economy. The institute in Fredericton has been working with rule systems, semantic web standards and social networking since its inception. Web-based Social Networking is emerging as a major application area for semantic web metadata. Most social networking sites are based on a centralized architecture: all user descriptions are stored in one database.

Pattern Recognition and Its Application in Customers’ Family Composition Detection

Rogers Communications, a diversified communications and media company, wanted to investigate the kinds of strategies that it should employ to attract new customers and meet customer demands thus maintaining a profitable market share. To develop these strategies, the client needed new efficient tools that could extract useful patterns, which was representative of actual customer behaviour, from the company's data warehouses.

Automatic Map Layouts for Social Coordination with Location-Aware Mobile Devices

The research will identify aspects of a location-aware map application that could be automated (either directly or with user guidance) to reduce the amount of interaction required and to make effective use of the display space for smart phones. The research will involve designing a prototype location-aware map application and extending the prototype to include intelligent zoom features to effectively and intelligently present pertinent location information.

Algebraic Foundations of Structure Prediction

Axonwave Software Inc. of Burnaby, BC, is a leader in the field of unstructured data analysis and processing. The company provides solutions that enhance business intelligence and improve the efficiency of business processes through the ability to analyze and extract information from text-based information sources. In collaboration with Axonwave, the project involves unifying a number of algorithms unified for structure prediction into a single formal framework that will be the basis of a software toolkit.

Security of Routing Protocols

Alcatel, a leader in fixed and mobile broadband networks, applications and services, was interested in increasing the security of routers which are at the core of the Internet. It is generally acknowledged by experts that abusing routing protocols presents an easy way for launching attacks on the Internet infrastructure, and that a single misbehaving router can completely disrupt routing protocols and cause disaster. The intern and research team proposed a new security extension for BGP (Border Gateway Protocol) named Pretty Secure BGP (psBGP).