Graduate School of health and Medical Sciences

Basic Kinetic Modeling in PET and MR Imaging
Provider: Faculty of Health and Medical Sciences

Activity no.: 3601-21-00-00
	Enrollment deadline: 28/01/2022

Date and time	28.02.2022, at: 09:00 - 04.03.2022, at: 16:00
Regular seats	19
Course fee	7,680.00 kr.
Lecturers	Gitte Moos Knudsen Henrik Larsson
ECTS credits	3.60

Contact person	Dorthe Givard E-mail address: dorthe@nru.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at graduate schools in the other Nordic countries. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from Nordic countries. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1. Explain tracer kinetic principles in physiology, nuclear medicine and magnetic resonance imaging (MRI). 2. Define Fick’s principle, compartments and rate constants 3. Theorize on impulse response function, exponential functions and convolution 4. Reflect on own project from a tracer kinetic perspective 5. Understand trade-offs with different kinetic modeling 6. Evaluate and select among kinetic models used for performing kinetic analysis of dynamic datasets 7. Mention which features of a radioligand makes it useful Content Aspects covered: basic mathematics, introduction to SPECT, PET, and MRI, steady state, indicator diffusion, Fick's principle, clearance, extraction, mean transit time, convolution and impulse response, residue detection, Kety-Schmidt method, receptor kinetics and quantification, models of glucose consumption (Sokoloff), water exchange and perfusion measurement, practical exercises on simulated and real datasets. The participants are encouraged to present and discuss their own projects. Participants PhD students in medicine, biophysics, physics, chemistry, and biology. Graduates with interest in this field. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English (unless there is only Danish speaking participants) Form Interactive teaching with examples and PC exercises. Course director Professor Gitte Moos Knudsen, Neurobiology Research Unit 6931, Rigshospitalet, Copenhagen, gmk@nru.dk; Professor Henrik Larsson, Functional and Diagnostic MR Unit, Rigshospitalet-Glostrup, henrik.larsson@regionh.dk. Teachers Gitte Moos Knudsen, professor, MD, Neurobiology Research Unit, Rigshospitalet Henrik B.W. Larsson, professor, MD, PhD, Functional and Diagnostic MR Unit, Rigshospitalet Stig Præstekjær Cramer, MD, PhD, Functional Imaging Unit, Rigshopitalet Glostrup Adam Espe Hansen, MSc, PhD, Dept Nucl Medicine, Rigshospitalet Adriaan Lammertsma, Professor, VU University Medical Center, Amsterdam, The Netherlands Ian Law, MD, DMSc, Dept. Clinical Physiology, Rigshospitalet Ulrich Lindberg, MSc, PhD, Functional Imaging Unit, Rigshospitalet Glostrup Lisbeth Marner, MD, DMSc, Dept. Clinical Physiology/Nuclear Medicine, Bispebjerg Hospital Mikael Palner, MSc, PhD, Neurobiology Research Unit, Rigshospitalet Pontus Plavén-Sigray, PhD, Neurobiology Research Unit, Rigshospitalet Martin Schain, MSc, PhD, Neurobiology Research Unit, Rigshospitalet Claus Svarer, PhD, Neurobiology Research Unit, Rigshospitalet Mark Vestergaard, MSc, PhD, Functional Imaging Unit, Rigshospitalet Glostrup Dates 28 February - 4 March 2022 Course location Rigshospitalet, NF2, Section 8057, entrance 8, 5th floor, Inge Lehmanns Vej 6-8, DK-2100 Copenhagen. Registration Please register before 28 January 2022 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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