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Institute of Neuroscience and Medicine

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Sequence & Scientific Computing

The sequence development team deals with the design of new Magnetic Resonance Imaging (MRI) techniques tailored to neuroscientific applications. MRI sequences drive the magnetic fields to manipulate the spin system with the aim of generating high contrast images of tissue in short scan times. However, the images acquired from the sequences still require sophisticated processing, such as phase unwrapping or motion artefacts removal, to reveal valuable information stored inside the voxels. The information, interpreted properly, is then expected to provide a concrete, reliable ground for further clinical studies. For this purpose, a detailed knowledge of underlying MRI physics, as well as excellent computer programming skills are required. One major area of current research is the acquisition of high quality MRI brain images at ultra-high magnetic field strengths (9.4 Tesla). In addition to the team's principal field of research, the team members contribute methodological input to several research projects with internal and external partners.

Projects

Acceleration of Diffusion MRI in the k-t-Domain with UNFOLD

Acceleration of Diffusion MRI in the k-t-Domain with UNFOLD

MRI is a versatile imaging technique, however, it often requires a long scan time. Reducing the necessary scan time greatly enhances patient comfort as well as clinical feasibility and, hence, is one of the fields of attention at the INM-4. The acceleration method UNFOLD is currently under investigation to assess its utility in diffusion MRI.

 Undersampled quantitative imaging and contrast synthesis

Undersampled quantitative imaging and contrast synthesis

Quantitative MRI allows the objective diagnosis of diseases and may help to profoundly understand the healthy brain. To enable widespread use of quantitative imaging in research and clinical environments, MR sequences for combining and improving state-of-the-art speed and resolution in imaging are being developed.

JUQEBOX (Juelicher Quantitative ToolBox)

JUQEBOX (Juelicher Quantitative ToolBox)

JUQEBOX (Juelicher Quantitative ToolBox) employs recent advances in quantitative MRI (qMRI) in order to provide high quality maps of tissue specific parameters (T1,T2*) as well as free water content distribution. Calculated quantitative maps are extremely useful in clinical studies (e.g. cerebral oedema detection).

Unique and Flexible Isotropic Diffusion Encoding

Unique and Flexible Isotropic Diffusion Encoding

Extensively precomputed diffusion-weighting direction schemes are usually used for diffusion imaging with a restricted number of directions. Our analytical approach facilitates a more flexible experimental planning

Elements of the jemris user interfaces.

MRI-Simulations

MRI simulations are needed in many cases and deliver many advantages over real systems. The development of new ideas as well as the optimization of known protocols are supported by MRI simulations.

Sample 2D excitation

Parallel Transmit Pulse Design

Selective excitation of an arbitrary 3D target region requires long high frequency pulses, which can be considerably shortened by means of multiple transmit channels. This project investigates new approaches for the numerically demanding calculation of the pulseshapes, in order to apply 3D selective excitation in routine applications.

Simulation of the High Field BOLD Signal

Simulation of the High Field BOLD Signal

Most functional MR images rely on the blood oxygenation level dependent (BOLD) MR signal. The physiological origin of this signal, which depends on variables such as the cerebral blood volume (CBV), the cerebral blood flow (CBF) and cerebral metabolic rate of oxygen(CMRO2), is still not completely known and are an active field of research and debate. The aim of this project is the simulation of the BOLD MR signal using the general purpose MR simulator JEMRI

Additional Information

Sequence Development

Project Leader

Prof. Dr. N. J. Shah

Staff

Richard Buschbeck

Dipl.-Ing. Robert Claeser

Dr.-Ing Krzysztof Dzieciol

Boris Eberhardt

Dr. Johannes Lindemeyer

Michael Schwerter

Nuno da Silva

Dr. Seong Dae Yun

Markus Zimmermann



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