Supervisor's Name: John Kildea
Supervisor's Email: john.kildea [at] mcgill.ca
Supervisor's Phone: 5149341934 ex 44154
Supervisor's Website: depdocs.com/jkildea
Supervisor's department: Medical Physics
Course number: MDPH 396 (Medical Physics)
Term: Winter 2018
Project start date: Monday, January 8th, 2018
Project end date: Monday, April 16th, 2018
Project title: Radiomics for Prostate Cancer
Project description (50-100 words suggested):
Radiomics is an emerging field of medical physics and computational biology that uses features extracted from medical images as “biomarkers” to diagnose disease or understand/predict its progression or regression. Typically, large datasets of features and known medical outcomes are used to train machine learning algorithms for future clinical application. The seminal paper in this field was published by Aerts in 2014. (https://www.nature.com/articles/ncomms5006)
In this research project, the student will undertake an introductory radiomics project that will examine cone-beam CT images of prostate cancer patients with a view to extracting features that describe the amount of gas in the rectum and the likelihood of the patient experiencing diarrhea as a side-effect of treatment. The project will start from scratch. The student will examine the radiomics tool kits that are available, choose the most suitable one, install it, and run it on a test case. Once the methodology has been established for the test case, and if appropriate, the methodology may be applied to a larger dataset under a research-ethics board approved research study at the MUHC.
The student must have good computational skills, and a working knowledge of either Python or Matlab. Some quantitative imaging or signal processing experience or a keen interest in medical physics or computational biology techniques would be helpful.
The student is expected to spend one afternoon or morning per week at the MUHC Glen Site. He/she should also attend the bi-weekly research meeting of the Opal Informatics Group.
Prerequisite: 1 term completed at McGill + CGPA of 3.0 or higher; or permission of instructor.
Grading scheme (The final report must be worth at least 50% of final grade): 50% final report, 50% milestones and progress.
Other project information: The student is expected to spend one afternoon or morning per week at the MUHC Glen Site. He/she should also attend the bi-weekly research meeting of the Opal Informatics Group
Project status: This project is open to applicant.
How students can apply / Next steps: Please contact me by email for further steps/information
Ethics, safety, and training: Supervisors are responsible for the ethics and safety compliance of undergraduate students. This project involves: Human subjects.