Course Image diagnostic methods for evaluation of the musculosceletal system

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: 

  1. Obtain knowledge about commonly used radiologic methods
  2. Understand the basic background for methods (physics, instruments)
  3. Characterize risks of the methods
  4. Understand the advantages and disadvantages/limitations of the methods
  5. 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:

Course dates:

  • 27 November 2024 08:30 - 16:00
  • 28 November 2024 08:30 - 16:00
  • 29 November 2024 08:30 - 16:00