Perceptual quality assessment on reconstructed CT images

ThisPerceptual quality assessment on reconstructed CT images project is offered at University of Dundee.

This Perceptual quality assessment on reconstructed CT images project at University of Dundee deals with the fact that, although Computed Tomography (CT) scan has been widely used for accurate disease diagnosis and treatment, there is a risk that patients may be exposed to a high amount of ionising radiation due to the frequent use of CT scan. To address this limitation, numerous CT image reconstruction methods have been proposed to ensure an accurate reconstruction while keeping radiation dose to a minimum. However, the perceptual quality of the reconstructed CT images has not been investigated.

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This PhD project has the following objectives.

• Collect reconstructed CT images with various image reconstruction methods and radiation doses while ensuring their content diversity.

• Invite clinicians and radiologists to conduct subjective quality assessment on the reconstructed CT images.
• Based on the study results, evaluate the performance of CT image reconstruction methods, and validate the effectiveness of existing image quality assessment methods.
• Develop a deep learning-based CT image quality assessment model if necessary.