Solving MRI inversion problems for quantitative multi-parameter estimation
Topic: Inversion problems, regularization, bSSFP, MRI simulations, data processing and analysis, complex systems.
Who: Students with a background in mathematics, computer science, physics, electrical or bio(medical) engineering. Everyone who is interested in new and creative mathematical models and solutions, regularization, computer simulations and parameter estimation on real experimental data.
Background: In quantitative MRI the dynamics of a complex physical system is described by the combination of a set of physical equations leading to a certain kind of quantitative model or quantitative map. Those respective models/maps are used for the quantification of e.g. water-fat fractions or T1- and T2-time. By trying to map acquired/simulated data to the quantitative parameter of interest, inversion problems are frequently encountered. Depending on the problem, inversions can be challenging to solve. The challenge can either originate on the sparsity of acquired data or also on the mathematical model itself. The quantification of multi-Compartment systems in MRI exhibits a lot of inversion operations, where some problems arise as ambiguities or so called “ill-posed problems”. Sometimes it is possible to find solutions of the inversion by constraining the system to boundary conditions, by reducing the complexity or dimensionality of the model or bring it in another mathematical formulation. Some of those problems are not well understood yet and their solution is key for a robust quantification of multi-compartment systems in MRI.
Project: In this project, we aim to first identify a system with known dynamics, and then develop a solution for the identified system. The prospective student will investigate inversion problems arising in parameter quantification in multi-compartment systems, like water and fat, with special focus on the bSSFP-sequence. We will investigate whether a problem can be solved analytically/numerically by an unambiguous mathematical representation or develop a regularized inverse problem-solving technique. Elaborated solutions will be tested in simulations (Bloch-Simulation) and on real experimental data.
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Jessica gives a lecture on the topic “Fat suppression and Introduction to Quantitative Imaging”, which is part of the Practical MR Physics course organized by the ESMRMB School of MRI. The lecture series is composed of different topics geared around the field of magnetic resonance imaging. More information can be found on the following link.
Jessica was invited to serve on the Annual Meeting Programming Committee (AMPC) of the International Society for Magnetic Resonance in Medicine (ISMRM). “It is a true honour to be asked to be part of the AMPC, and I look forward to contribute to the organization of the next three ISMRM meetings!”. The annual meeting attracts […]
Dr Rahel Heule from the Max Planck Institute in Tuebingen and the children’s hospital in Zuerich visited our imaging center in Bern. She gave a seminar entitled “Asymmetries in the Brain: A Methodological Exploration of bSSFP MRI in Neuroimaging at 3T and 9.4T“. Our belief in bSSFP methods to uncover novel biomarkers have only been […]
Professor Jürgen Hennig visited the Translational Imaging Center in Bern as well as several MRI research groups. Besides his seminar on “The Evolution of Field Strength in MR: Back to the Future?“, he shared his insights on open source MRI sequence programming as well as his academic career. We had a blast, and we were […]
Prof. Dr. Jessica Bastiaansen, head of the QIS LAB, joins the editorial board of the journal Circulation: Cardiovascular Imaging.
Every year, the Physics Institute of the Faculty of Physics and Astronomy at the University of Würzburg awards the Wilhelm Conrad Röntgen Prizes to the best students (top 10%). This year, Nils Plähn, PhD candidate at the QIS lab, was among its recipients. Congratulations!! Wilhelm Conrad Röntgen (1845 -1923), 1st Nobel Prize winner for physics […]
We are extremely excited to join this effort! The Cardiovascular Research Cluster Bern (CVRC) was established for all UniBE and Inselspital members with an interest in cardiovascular research. The goal is to promote the cardiovascular research teams in Bern as leaders in the understanding of cardiovascular (patho)physiology and in the development of approaches to reduce disease […]
Dr. Eva Peper of the QIS LAB becomes part of the editorial board of the Journal of Magnetic Resonance Imaging (JMRI). She will serve on the board in the capacity of trainee deputy editor.
For our MRI developments, that build on the use of phase-cycled bSSFP MRI acquisitions to determine tissue fractions within a voxel, a US Patent was granted on May 22nd 2022. Congratulations to the inventors Giulia Rossi, Tobias Kober, Tom Hilbert and Jessica Bastiaansen. These exciting findings form the basis of the research of QIS LAB, […]
QIS LAB attended the Museum Night in Bern. One of the many interesting interactive experiences was “Probeliegen im Sarg”, or, testing coffins. Being patient is a valuable asset for a scientist, while lying motionless may come in handy when volunteering for MRI scans.