Benedikt Poser and members of his group are well known in the field for his sequence developments. The most-popular sequence implementations are:
- Mutli-echo EPI readouts for artifact reductions in fMRI.
- 3D-EPI readouts for high temporal and/or spatial resolution fMRI.
- Simultaneous-Multi-Slice (SMS) imaging for coverage increases in fMRI.
- Parallel transmit tools at high magnetic fields.
- Advanced functional readouts for VASO and ASL imaging.
These tools have partly been included into SIEMENS work-in-progress (WIP) packages and can be requested directly from SIEMENS.
Other sequences have been widely shared via SIEMENS C2Ps and are available upon request.
High-resolution processing scripts
These are a bunch of wrappers and scripts for accurate analysis of ultra-high-resolution fMRI. Written by Sriranga Kashyap and developed for unconventional datatypes and rely on the ANTS. It’s has been used for its routines of ultra-high resolution alignment across runs/days and the integration of motion correction, distortion correction, and co-registration into one resampling step etc. The code will be made available via Gitlab.
Group GitHub: https://github.com/MBIC-MR-Methods.
LAYNII is a collection of C++ programs designed for layer-fMRI analysis and VASO analysis. LAYNII is mostly developed by Renzo Huber and used code snippets from the AFNI-group for the nifti I/O. The name refers to analysis of LAYer-fMRI with NIfti data. LAYNII that operates exclusively in voxel-space, not in vertex space. LAYNII is designed to generate topologically consistent estimated of layers and columns with partial brain coverage data.
It can be downloaded and installed from Github.
Step-by-step instructions and example cases are provided as layerfmri.com.
The MR-Methods group uses and developed advanced reconstruction tools. Specifically Gilad Liberman developed Minimal Linear Networks (MLN) for the reconstruction of spiral readouts.
The corresponding software is available on Github.