- Docente: Claudia Testa
- Credits: 6
- SSD: FIS/07
- Language: English
- Moduli: Claudia Testa (Modulo 1) Leonardo Brizi (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Physics (cod. 9245)
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from Feb 28, 2025 to Jun 06, 2025
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from Mar 04, 2025 to Apr 29, 2025
Learning outcomes
At the end of the course the student will have the knowledge of important physical principles and experimental procedures applied to medical diagnosis and scientific research in medicine. Particular attention will be devoted to nuclear magnetic resonance (NMR) relaxometry, diffusometry, spectroscopy and imaging and their combination, along with more traditional techniques (CT, PET, EEG, MEG, NIRS). The student will also learn about advanced diagnostic techniques for neuroscience, based on morphological and functional images, which are the instruments for brain function and connectivity research. He/she will be able to use software for planning pulse sequences and simulate the results of NMR experiments and for data inversion in one and two dimensions (T1, T2, self-diffusion coefficient). Moreover magnetic resonance neuroimaging data will be analyzed in a practical tutorial, simulating a post processing session.
Course contents
Physical basis of Nuclear Magnetic Resonance (NMR). Time Domain NMR (TD-NMR) - Relaxometry and Diffusometry: characterization of relaxation times (T1 and T2) and self-diffusion coefficient (D). Bloembergen, Purcell, Pound theory (BPP Theory). Magnetic Resonance for fluids in Porous Media: surface effects, relaxation times in porous materials and in biological tissues. Inversion from data time domain to relaxation times - UPEN algorithm and UpenWin software. Basis of two-dimensional NMR: relaxation-relaxation, relaxation-exchange and diffusion-relaxation. Single-sided NMR: basic concepts of MR in the constant field gradient of a portable NMR device (MOUSE PM10), profiles and examples of in-situ application.
NMR Spectroscopy- Chemical shift and J-coupling. NMR imaging (MRI) - k-space and k-space mapping. Time diagrams for NMR and MRI experiments. Multi-dimensional experiments. NMR for fluids under confinement. Ex-situ experiments by means of portable NMR devices. Relaxation times in biological tissues. Apparent diffusion coefficients and diffusion tensor. In vivo Magnetic Resonance Spectroscopy- Post processing - relative and absolute quantification. Single voxel (SV) and Chemical shift Imaging. Heteronuclear spectroscopy. Diffusion weighted/Diffusion Tensor imaging. Tractography, whole brain tractography. Structural connectivity. Functional MRI - Block design - Resting state fMRI. Functional connectivity by fMRI and fNIRS. Multi-modal imaging - combination of MRI, CT, PET, MEG, EEG. Practical tutorials on inversion from data time domain to relaxation times by means of UPEN algorithm and UpenWin software in one and two dimensions. Practical tutorials simulating post processing sessions. Examples of applications in medicine, neuroscience and in the field of fluids in porous media.
Readings/Bibliography
The Human Central Nervous System, Nieuwenhuys, Rudolf, Voogd, Jan, Huijzen, Christiaan van. 2008. Springer
Callaghan, Principles of MRMicroscopy
In Vivo NMR Spectroscopy: Principles and Techniques, 2nd Edition Robin A. de Graaf
Diffusion MRI- Hedi Johansen-Berg-Timothy E.J. Berg Elsevier
Functional Magnetic Resonance Imaging. An Introduction to Methods Edited by Peter Jezzard, Paul M Matthews, and Stephen M Smith
MRI: The Basics- 2017, Ray H Hashemi, CJ Lisanti, WG Bradley. Wolters Kluwer
Scientific papers suggested during lessons.
Teaching methods
Frontal lessons. Supplementary exercises are proposed during the lessons to be solved in groups and discussed during class. Part of the course (module 2) consists in practical exercises. NMR data will be acquired and processed using dedicated softwares.
Assessment methods
The final exam will be an oral exam to test the students' acquired knowledge. The exam will begin with a discussion about the reports made by the students on topics faced during the frontal lessons. The compilation of reports will require the comprehension and the use of algorihms and software dedicated to data analyses. After this discussion, the exam will continue on at least two other topics concerning the rest of the program. The total duration of the exam will be about 45 minutes. The knowledge of these topics and the assessment of the use of a pertinent scientific speech will be considered as an excellent score.
Teaching tools
Pc, video projector, softwares and laboratory instruments.
Office hours
See the website of Claudia Testa
See the website of Leonardo Brizi
SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.