The internship research focuses on the regulation of human body composition as expressed by the ratio of lean body mass to total fat mass, a quantitative description of which is relevant to the management of obesity. Special attention will be paid to the distinction between visceral fat, which is associated with increased risk of heart disease and type 2 Diabetes, and subcutaneous fat, which imparts less risk for these conditions.
Many hospitals use image-guided cone-beam computed tomography (CT) to provide qualitative treatment for cancer patients. Although cone-beam CT provides good volumetric images, it takes a while to reconstruct them, which limits its applications because in many cases, real-time spatial information about patient’s internal structures is needed.
During the last few years, Breast Microwave imaging (BMI) has shown its potential as an alternative technique for breast cancer detection. BMI offers a variety of features, such as a high contrast between cancer and breast tissue and non-compressive image acquisition procedures which would make its use desirable in a clinical environment. Due to the fact that target reflections present different travel times and the collected data is a function of the arrival time and scan location, the recorded responses must be reconstructed in order to be properly visualized and interpreted.
NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. The intern’s project will involve examining the computational issues associated with multi-dimensional analysis, namely, the computational efficiency and memory utilization, while creating an N-dimensional algorithm for segmenting and classifying the different tissue types in the brain (white matter, grey matter and cerebral spinal fluid) as well as white matter lesions.
The intern’s project aims to investigate how cognitive and functional abilities of patients treated for mild/moderate Alzheimer’s disease (AD) change over time. Despite of neurodegenerative nature of AD, these changes might occur in every direction. According to our preliminary investigation, both improvement and worsening are possible. We will compare the long-term changes during 48 months of the follow-up and identify the probabilities of any change over a short-term (1 year) and a longer-term (4 years) follow-up.
NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. This internship research project will involve image processing to quantify local volume changes in serial MR images of the brain based on deformation field analysis using techniques that are relatively independent of pathological changes in image intensity.
Biodiversity is critical in mediating, and even preventing, the spread of emerging zoonotic diseases, or diseases that are transmissible from wildlife to human populations. These include avian flu and Hantavirus. Understanding how threats to biodiversity conservation may also threaten human health is urgent, particularly as human development, changing environmental conditions and global trade are facilitating the emergence and spread of zoonotic diseases.
The intern will assist the Greater Moncton Sewerage Commission (GMSC) in the development and production of biologically-safe composts from biosolids by providing novel technologies to assess its biosafety. To achieve this, the intern will develop molecular tools, based on the real-time polymerase chain reaction (PCR) technology, to allow quick, accurate and reliable detection of human microbial pathogens directly from compost using specific DNA primers.
Pharmacokinetics, the study of a drug’s course through the body, is an essential quantitative tool used in all stages of drug development and administration. The liver is the primary site of drug metabolism and elimination from the body, but it is difficult to model due to its complex structure. A virtual organ will be developed for the liver using modern mathematical techniques such as fractals in conjunction with flow reservoir modelling software developed by the Computer Modelling Group Inc.
Typically, movement of the patient during any medical imaging scan will result in a degraded final image if this motion is not accounted for. This research project aims to use the video from two cameras, recording from different angles, to estimate the motion of a patient’s head during a PET (positron emission tomography) scan. By using the video from two cameras to track features of the patient’s head, motion in all three dimensions can be estimated.