ECTS: 1
Course leader: Emil Toft Petersen
Language: English
Graduate school: Faculty of Health
Graduate program: ClinFO
Course fee: 1,200.00 DKK
Status: Course is open for application
Semester: Fall 2024
Application deadline: 30/10/2024
Cancellation deadline: 13/11/2024
Course type: Classroom teaching
Start date: 27/11/2024
Administrator: Johanne Gregor Højgaard
NB
There has been a small change in the course description and intructors.
The course C190/07 Image diagnostic methods for evaluation of the musculoskeletal system is being offered by the Graduate School of Health, Aarhus University, 2024.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Requirements for participation: Basic physics (high school level) and anatomy knowledge.
Aim: To educate participants about different image diagnostic methods and their potential for research and clinical investigation of the human body/musculoskeletal system including baseline knowledge on their advantages/limitations and risks (radiation physics, protection and doses/risks).
Learning outcomes:
- Obtain knowledge about commonly used radiologic methods
- Understand the basic background for methods (physics, instruments)
- Characterize risks of the methods
- Understand the advantages and disadvantages/limitations of the methods
- Obtain inspiration to using imaging methods in research projects
Workload: The full workload of the course is expected to be 25 hours
Content: The course focus is on image diagnostic methods and their potential for research and clinical investigation of the human body/musculoskeletal system including baseline knowledge on their advantages/limitations and risks (radiation physics, protection and doses/risks). Methods included are: X-ray, DXA, Radiostereometry, CT, Cone Beam CT, HRpQCT, mCT, Dynamic NaF PET, MRI, Musculoskeletal modeling (AnyBody Modeling System), 3D printing and surgical guides, and Augmented reality.
Instructors:
Maiken Stilling, MD, PhD – maiken.stilling@clin.au.dk
Professor, Department of Clinical Medicine, Aarhus University, Aarhus
Consultant Hand Surgeon, Department of Orthopedics, Aarhus University Hospital, Aarhus
Emil Toft Petersen, MSc, PhD - emiltp@clin.au.dk
Post.Doc., AutoRSA Research Group, Department of Orthopedics, Aarhus University Hospital, Aarhus
Anders Frodo Stegmann Mikkelsen, anders.mikkelsen@stab.rm.dk
Medical-Physical expert, Dept of Medical Technology, Aarhus University Hospital/Central Region, Aarhus
Jennifer Heather Christensen, DDS, PhD, - jchristensen@dent.au.dk
Post Doc, Oral Radiology - Department of Dentistry and Oral Health, Aarhus University, Aarhus
Jesper Skovhus Thomsen, MSc, PhD - jst@biomed.au.dk
Professor, Biomedical Engineer, Department of Biomedicine, Aarhus University, Aarhus
Michael Skipper Andersen, MSc, PhD – msa@mp.aau.dk
Professor, Orthopedic Engineering – Department of Materials and Production, Aalborg University, Aalborg
Michael Pedersen, MSc, PhD – michael@clin.au.dk
Professor, Comparative Medicine Lab – Department of Clinical Medicine, Aarhus University Hospital, Aarhus
Bryan Haddock, MSc, PhD - bryan.haddock@regionh.dk
Physicist, Department of PET, Glostrup hospital, Copenhagen
Lau Brix, MSc - lau.brix@rm.dk
Department of Medical Technology, Aarhus University Hospital/Central Region, Aarhus
Joakim Lundtoft Lindhart, MSc – joakln@rm.dk
Product Manager, 3D Innovation, Aarhus University Hospital, Aarhus
Mikkel Petersen, MD, PhD – mikkel.petersen@cfin.dk
Product Manager, 3D Innovation, Aarhus University Hospital, Aarhus
Torben Harsløf, MD, PhD - torbhars@rm.dk
Consultant Endocrinologist, Department of Medicine and Endocrinology, Aarhus University Hospital, Aarhus
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
Course dates:
- 27 November 2024 08:30 - 16:00
- 28 November 2024 08:30 - 16:00
- 29 November 2024 08:30 - 16:00