There is a newer version of MIRTKThe MIRTK is a research-focused image processing toolkit, developed at the BioMedIA research group. It provides a collection of libraries and command-line tools to assist in processing and analyzing imaging data. The main application of the MIRTK is in adult and neonatal brain MR image registration as well as the reconstruction of cortical surface meshes. The modular project organization of the MIRTK enables the installation of selected modules.
Accessing MIRTK 20210104-fosscuda-2019b-Python-3.7.4
To load the module for MIRTK 20210104-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load MIRTK/20210104-fosscuda-2019b-Python-3.7.4
There is a CPU version of this module: MIRTK 20210104-foss-2019b-Python-3.7.4
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100)
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the MIRTK website.
This version of MIRTK has a direct dependency on: Boost/1.71.0-gompic-2019b Eigen/3.3.7 FLTK/1.3.5-GCC-8.3.0 fosscuda/2019b Perl/5.30.0-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 tbb/2019_U9-GCCcore-8.3.0 VTK/8.2.0-fosscuda-2019b-Python-3.7.4
These versions of MIRTK are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 22nd January 2021