Low Dose Computed Tomography Imaging: Measuring effects of denoising algorithms by means of objective and subjective measurements, and algorithms parameters optimization

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of
the patient body in order to produce digital images. This means patients could be exposed to certain
level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could
increase risk offatal cancer. Thus it is of paramount importance to lower the amount of radiation
exposure during CT images acquisition. However, a low radiation dose in CT images would result to
lower image quality. To maintain lower dose usage and still produce images with a high quality, one
needs to develop advanced image processing tools in order to reduce noise and enhance CT images.
This internship will attempt to bring advanced methods of Image processing tools that are specifically
tailored to reduce noise and enhance CT images to the partner ()rganization, measure the effects of
these algorithms on Image quality objectively and subjectively, fine tune parameters of these
algorithms.

Faculty Supervisor:

M. Stella Atkins

Student:

Partner:

McKesson Canada (Richmond, BC)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program: