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MRI acquisition and analysis course 2010

Course title: Magnetic Resonance Imaging Techniques and Analysis

Content and format: The course covers introductory MRI acquisition and image processing methods. Analysis of functional imaging data will be covered in detail. The first half of the course is mainly lectures on MR-basics. It also includes data acquisition for the remaining part of the course that is focused on hands-on data analysis.

The course starts at a level requiring little or no MR experience. A technical background is not required. The target audience is employees and students at the MR department but the course is open and free for external participants.

DRCMR employees, students, new-comers and co-workers are given priority if we (against expectations) have to limit the number of participants due to space limitations.

The course covers the basics  needed to follow the somewhat more technical course Medical Magnetic Resonance Imaging offered as part of the Medicine&Technology program at the Technical University of Denmark in the spring, and which is also available for non-DTU-students under "Open University".

Dates and time: Starting September 21st 2010, the course is given Tuesdays 14:00-16:00 in the conference room of the MR-department at Hvidovre Hospital (dept. 340).

Registration: Please register below.

Literature and software: Course notes and relevant articles are provided during the course. Before the first lecture, it is recommended to install the software freely available at http://www.drcmr.dk/bloch as this will play an important role in the acquisition part of the course (access to the software is not needed during lectures). The same applies to the SPM software available at http://www.fil.ion.ucl.ac.uk/spm/ which will be used during the analysis part. The latter software package requires a working installation of Matlab as described on the SPM home page.

Credit: The course has a workload corresponding to 2-5 ECTS points depending on exams/assignments taken (2 is 1/15 semester workload) but you do not automatically get credit for the course in any educational institution. You may apply for credit at your school, but be aware that no general evaluation is planned, which may be required for a credit bearing course. This can possibly be arranged on an individual basis upon request, and is required for the organizers to recommend more than 2 ECTS.

Language: The course is given in English, or in Danish if all participants are Danish speaking.

Lecturers: The acquisition part is coordinated by Lars G. Hanson , and the analysis part by Arnold Skimminge. Lectures are by the organizers, Lise Vejby Søgaard and Kristoffer H. Madsen.

Preliminary program:

September 21th, MRI acquisition, part 1:

  • Sections "Magnetic Resonance" until "Sequences" in MR notes are discussed during the coming few weeks (the English and Danish versions are similar).
  • Protons, spin, net magnetization, precession, radio waves, resonance, relaxation, rotating and stationary frames of reference, T1 and T2.



September 28th, MRI acquisition, part 2:

  • Relaxation time weighting. Dephasing, refocusing, T2*, spin echoes, and sequences.

 

October 5th, MRI acquisition, part 3:

  • Earlier subjects continued. Contrast overview, slice selection spectroscopy.

 

October 12th: Spectroscopy continued, dephasing/refocusing, flow/diffusion measurements.

October 19th: No lecture.

 

October 26th, MRI acquisition, part 4:

  • Saturation and inversion.
  • MR notes from "Imaging" and beyond are covered during the coming weeks.
  • Gradients, image-formation and k-space. Echo time revisited.

 

November 2nd, MRI acquisition, part 5:

  • Imaging continued, field strength issues, coils and safety.

 

November 9th:  MRI acquisition, part 6:

  • Sequence elements, k-space trajectories, artifacts (distortions, ghosting and aliasing), noise and image quality quantification.

 

November 16th, MRI analysis, preprocessing

  • Introduction to analysis section of the course.
  • Introduction to SPM8.
  • fMRI preprocessing.
  • N-back hands-on preprocessing.

 

November 23rd, MRI analysis, first level analysis:

  • Introduction to fMRI statistics.
  • First level analysis.
  • N-back hands-on first level specification and estimation.

 

November 30th: MRI analysis, contrasts:

  • Introduction to statistical inference.
  • Contrasts, plotting and visualizations.
  • N-back hands-on statistical inference.

 

December 7th: MRI analysis, part 4:

  • Scripting and batching basics
  • N-back hands-on scripting

 

December 14th: MRI analysis, second level

  • Second level analysis
  • N-back hands-on group study

 

December 21st: MRI analysis, second level inference

  • Contrasts, plotting and visualizations.
  • N-back hands-on second level inference.

 

Course title: Magnetic Resonance Imaging Techniques and Analysis

Content and format: The course covers introductory MRI acquisition and image processing methods. Analysis of functional imaging data will be covered in detail. The first half of the course is mainly lectures on MR-basics. It also includes data acquisition for the remaining part of the course that is focused on hands-on data analysis.

The course starts at a level requiring little or no MR experience. A technical background is not required. The target audience is employees and students at the MR department but the course is open and free for external participants.

DRCMR employees, students, new-comers and co-workers are given priority if we (against expectations) have to limit the number of participants due to space limitations.

The course covers the basics  needed to follow the somewhat more technical course Medical Magnetic Resonance Imaging offered as part of the Medicine&Technology program at the Technical University of Denmark in the spring, and which is also available for non-DTU-students under "Open University".

Dates and time: Starting September 21st 2010, the course is given Tuesdays 14:00-16:00 in the conference room of the MR-department at Hvidovre Hospital (dept. 340).

Registration: Please register below.

Literature and software: Course notes and relevant articles are provided during the course. Before the first lecture, it is recommended to install the software freely available at http://www.drcmr.dk/bloch as this will play an important role in the acquisition part of the course (access to the software is not needed during lectures). The same applies to the SPM software available at http://www.fil.ion.ucl.ac.uk/spm/ which will be used during the analysis part. The latter software package requires a working installation of Matlab as described on the SPM home page.

Credit: The course has a workload corresponding to 2-5 ECTS points depending on exams/assignments taken (2 is 1/15 semester workload) but you do not automatically get credit for the course in any educational institution. You may apply for credit at your school, but be aware that no general evaluation is planned, which may be required for a credit bearing course. This can possibly be arranged on an individual basis upon request, and is required for the organizers to recommend more than 2 ECTS.

Language: The course is given in English, or in Danish if all participants are Danish speaking.

Lecturers: The acquisition part is coordinated by Lars G. Hanson , and the analysis part by Arnold Skimminge. Lectures are by the organizers, Lise Vejby Søgaard and Kristoffer H. Madsen.

Preliminary program:

September 21th, MRI acquisition, part 1:

  • Sections "Magnetic Resonance" until "Sequences" in MR notes are discussed during the coming few weeks (the English and Danish versions are similar).
  • Protons, spin, net magnetization, precession, radio waves, resonance, relaxation, rotating and stationary frames of reference, T1 and T2.



September 28th, MRI acquisition, part 2:

  • Relaxation time weighting. Dephasing, refocusing, T2*, spin echoes, and sequences.

 

October 5th, MRI acquisition, part 3:

  • Earlier subjects continued. Contrast overview, slice selection spectroscopy.

 

October 12th: Spectroscopy continued, dephasing/refocusing, flow/diffusion measurements.

October 19th: No lecture.

 

October 26th, MRI acquisition, part 4:

  • Saturation and inversion.
  • MR notes from "Imaging" and beyond are covered during the coming weeks.
  • Gradients, image-formation and k-space. Echo time revisited.

 

November 2nd, MRI acquisition, part 5:

  • Imaging continued, field strength issues, coils and safety.

 

November 9th:  MRI acquisition, part 6:

  • Sequence elements, k-space trajectories, artifacts (distortions, ghosting and aliasing), noise and image quality quantification.

 

November 16th, MRI analysis, preprocessing

  • Introduction to analysis section of the course.
  • Introduction to SPM8.
  • fMRI preprocessing.
  • N-back hands-on preprocessing.

 

November 23rd, MRI analysis, first level analysis:

  • Introduction to fMRI statistics.
  • First level analysis.
  • N-back hands-on first level specification and estimation.

 

November 30th: MRI analysis, contrasts:

  • Introduction to statistical inference.
  • Contrasts, plotting and visualizations.
  • N-back hands-on statistical inference.

 

December 7th: MRI analysis, part 4:

  • Scripting and batching basics
  • N-back hands-on scripting

 

December 14th: MRI analysis, second level

  • Second level analysis
  • N-back hands-on group study

 

December 21st: MRI analysis, second level inference

  • Contrasts, plotting and visualizations.
  • N-back hands-on second level inference.

 

Selected Publications

Recent publications & Pre-prints 

Naiara Demnitz, Oliver J. Hulme, Hartwig R. Siebner, Michael Kjaer, Klaus P. Ebmeier, Carl-Johan Boraxbekk, Claire M. Gillan (2023). Characterising the covariance pattern between lifestyle factors and structural brain measures: a multivariable replication study of two independent ageing cohorts, Neurobiology of Aging, Volume 131,2023, Pages 115-123, ISSN 0197-4580,IF 3.7.

TH Siebner, JD Hove, CF Madelung, OJ Hulme, F Bendtsen, HR Siebner, Flemming Bendtsen, Mads Barløse (2024). No difference in postprandial mesenteric blood flow between healthy younger and elderly individuals, Scientific Reports 14 (1), 8689.

TS Hjerresen, M Bentz, AB Nejad, E Raffin, KW Andersen, OJ Hulme, Hartwig Roman Siebner, Kerstin Jessica Plessen. Performing well but not appreciating it–A trait feature of anorexia nervosa. JCPP advances 4 (1), e12194.

Oliver Hulme, Arne Vanhoyweghen, Colm Connaughton, Ole Peters, Simon Steinkamp, Alexander Adamou, Dominik Baumann, Vincent Ginis, Bert Verbruggen, James Price, and Benjamin Skjold (2023). Reply to “The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty”. Econ Journal Watch, 20(2) p335-348.

Hulme Oliver J., Roulston Barrie, Overgaard Morten (2023). Does report modality modulate psychophysical sensitivity? The jury remains out. Frontiers in Psychology, 14, https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1226588.

Thorup AAE,… Hulme OJ, … Nordentoft M (2022). The Danish High-Risk and Resilience Study-VIA 15 - A Study Protocol for the Third Clinical Assessment of a Cohort of 522 Children Born to Parents Diagnosed With Schizophrenia or Bipolar Disorder and Population-Based Controls. Frontiers in Psychiatry.

Lopez-Yepez JS, Martin J, Hulme OJ, Kvitsiani D. (2021). A normative account of choice history effects in mice and humans. PloS Computational Biology.

Lopez-Yepez JS, Martin J, Hulme OJ, Kvitsiani D. (2021)
A normative account of choice history effects in mice and humans
PLoS Computational Biology

Meder D, Rabe F, Morville T, Madsen KH, Koudahl MT, Dolan RJ, Siebner HR, Hulme OJ. (2021)
Ergodicity-breaking reveals time optimal economic behavior in humans
PLoS Computational Biology

Morville T, Friston KJ, Burdakov D, Siebner HR, Hulme OJ. (Pre-print)
The Homeostatic Logic of Reward
bioRxiv, doi.org/10.1101/242974.

Morville T, Madsen K, Siebner HR, Hulme OJ. (2021)
Reward signaling in brainstem nuclei under glycemic flux
PloS One

Hulme, OJ, Wagenmakers EJ, Damkier P, Madelung CF, Siebner HR, Helweg-Larsen J, Gronau Q, Benfield TL, Madsen KH. (2021) A Bayesian reanalysis of the effects of hydroxychloroquine and azithromycin on viral carriage in patients with COVID-19.
PloS One. doi.org/10.1371/journal.pone.0245048

Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizau J, Hulme OJ, Billig AJ., Litvak V, Price CJ., Moran RJ., Costello A, Pillay D, Lambert C. (2020)
Effective immunity and second waves: a dynamic causal modelling study
Wellcome Open Res2020, 5:204 (doi.org/10.12688/wellcomeopenres.16253.2)

van der Vegt JPM, Hulme OJ, Madsen KH, Buhmann C, Bloem BR, Münchau A, Helmich RC, Siebner HR (2020)
Dopamine agonist treatment increases sensitivity to gamble outcomes in the hippocampus in de novo Parkinson’s disease
NeuroImage Clinical

Faranda D, Castillo IP, Hulme OJ, Jezequel A, Lamb J, Sato Y, Thompson E, (2020)                                                                         
Asymptotic estimates of SARS-CoV-2 infection counts and their sensitivity to stochastic perturbation
Chaos. 2020;30(5):051107. doi:10.1063/5.0008834

Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizau J, Hulme OJ, Billig AJ, Litvak V, Price CJ, Moran RJ., Lambert C. (2020)
Second waves, social distancing, and the spread of COVID-19 across America.
Wellcome Open Res 2020, 5:103 (doi.org/10.12688/wellcomeopenres.15986.1)

Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizau J, Hulme OJ, Billig AJ, Litvak V, Price CJ, Moran RJ, Lambert C. (2020)
Dynamic causal modelling of COVID-19.
Wellcome Open Res 2020, 5:89

Friston KJ, Parr T, Zeidman P, Razi A, Flandin G, Daunizau J, Hulme OJ, Billig AJ., Litvak V, Price CJ., Moran RJ., Costello A, Pillay D, Lambert C. (2020)
Testing and tracking in the UK: A dynamic causal modelling study
Wellcome Open Research 5 (144), 144  

Hulme OJ, Morville T, Gutkin B. (2019)
Neurocomputational Theories of Homeostatic Control
Physics of Life Reviews, Jul 19. pii: S1571-0645(19)30100-9. doi: 10.1016/j.plrev.2019.07.005  

Hulme OJ, Webb EJ, Sebald A. (2019)
An Introduction to Physiological Economics
Handbook of Research Methods and Applications in Experimental Economics, Edward Elgar Publishing. 

Hulme OJ, Kvitsiani D. (2019)
Extending Models of How Foraging Works: Uncertainty, Controllability, and Survivability
Behavioral and Brain Sciences 2019 Jan;42:e43. doi: 10.1017/S0140525X18002017

Hallsson BG, Siebner HR, Hulme OJ. (2018)
Fairness, fast and slow: A review of dual process models of fairness
Neuroscience and Biobehavioral Reviews. Jun;89:49-60. doi: 10.1016/j.neubiorev.2018.02.016.

Christensen BJ, Schmidt JB, Nielsen MS, Tækkerd L, Holm L, Lunn S, Brediee WLP, Ritz C, Holst JJ, Hansen T, Hilbert A, le Roux CW, Hulme OJ, Siebner HR, Morville T, Naver L, Floyd, AK, Sjödin A. (2018)
Patient profiling for success after weight loss surgery: An interdisciplinary study protocol
Contemporary Clinical Trials Communications. Feb 17;10:121-130. doi: 10.1016/j.conctc.2018.02.002.

Larsen KM, Mørup M,  Birknow MR, Fischer E, Hulme OJ,  Vangkilde A, Schmock H, Baaré WF, Didriksen M, Olsen L, Werge T, Siebner HR, Garrido MI. (2018)
Altered auditory processing and top-down connectivity in 22q11.2 Deletion Syndrome
Schizophrenia Research. Jan 30. pii: S0920-9964(18)30048-3. doi: 10.1016/j.schres.2018.01.026.

Meder D, Kolling N, Verhagen L, Wittmann MK, Scholl J, Madsen KH, Hulme OJ, Behrens TEJ, Rushworth MFS. (2017)
Simultaneous representation of a spectrum of dynamically changing value estimates during decision making
Nature Communications. Dec 5;8(1):1942. doi: 10.1038/s41467-017-02169-w.

Friis-Olivarius M, Hulme OJ, Skov M, Ramsøy TZ, Siebner HR. (2017)
Imaging the Creative Unconscious: Reflexive Neural Responses to Objects in the Visual and Parahippocampal Region Predicts State and Trait Creativity
Scientific Reports. Oct 31;7(1):14420. doi: 10.1038/s41598-017-14729-7.

Group Members

Oliver Hulme

Group Leader

Simon Steinkamp

Maria Elisabeth Catharina van der Weij

External Collaborators

Prof. Derek Byrne


Dr. Ole Peters


Dr. Alex Adamou


Dr. Mark Kirstein


Dr. Yonatan Berman


Prof. Sten Madsbad


Assoc. Prof. Tobias Andersen


Assoc. Prof. Christoffer Clemmensen


Postdoc Claus Brandt


Prof. Duda Kvitsiani


Adam Goldstein