# Technical Monitoring (minutes) - 2023 Feb 14 :::info **Date:** Feb 14, 2023 17:00(UTC) **Agenda**: [link](https://hackmd.io/NvT4OCT2Tmi3c_SJTMQlig) **Participants:** - Elodie (ES) - Chris (CM) - Celine (CP) - Mathias (MG) - Eilidh (EM) - Oscar (OE) **Minutes by:** ES ::: ### Organization of the meetings (ES) * Minutes and agendas of the meetings are now on Hackmd. * Everybody can add topic suggestions for the agenda of the next meetings. ### Nibabies (MG) * Shifting from FreeSurfer to [MIRTK](https://github.com/BioMedIA/MIRTK) for surface recon : Initially aiming for [MCRIBS](https://github.com/DevelopmentalImagingMCRI/MCRIBS) but [MCRIBS] requires lots of specific preprocessing steps -> going back to [MIRTK]. * Topology issues: Intersection of the generated surfaces Potential solutions: 1. increasing the number of tries. 2. Converting .vtk files from intermediate step with a Freesurfer command for topology fix. ### Nipreps documentation (CP) CP added a document to the Nipreps documentation explaining how to read fMRIprep visual report (pull request: [https://github.com/nipreps/nipreps.github.io/pull/21](https://github.com/nipreps/nipreps.github.io/pull/21)). This document is inspired from an original draft of Saren Seeley and [https://www.frontiersin.org/articles/10.3389/fnimg.2022.1073734/full](https://www.frontiersin.org/articles/10.3389/fnimg.2022.1073734/full). Problem: The image used to build the website is outdated. Proposed solution: Set it up to ignore rendering PR. ### fMRIPrep (CM) fMRIPrep 23.0 milestone: [https://github.com/nipreps/fmriprep/milestone/60](https://github.com/nipreps/fmriprep/milestone/60) Waiting on final merging of #2855. ### fMRIPrep Rodents (EM) Given questions on Neurostars about fMRIPrep rodents, it becomes necessary to fix the bugs of fMRIPrep Rodents to have a working pipeline. ### Next NiPreps Roundup * Agenda on HackMD [https://hackmd.io/@oesteban/rJHigdRho/edit](https://hackmd.io/@oesteban/rJHigdRho/edit). * Governance documents: New pull request with minor fixes [https://github.com/nipreps/GOVERNANCE/pull/19](https://github.com/nipreps/GOVERNANCE/pull/19) (Typos + rule on the number of members in the Steering Committee.) ### MRIQC memory issue (ES) Synthstrip runs out of memory during MRIQC runs [https://github.com/nipreps/mriqc/issues/1004](https://github.com/nipreps/mriqc/issues/1004) The problem is caused by the model used in Synthstrip. The first and last convolutional layers generate features maps of ~6GB for images with dimension (192x256x256). When multiple images are processed in parallel MRIQC can exceed the memory limit. Proposed solutions: * Limit the number of Synthstrip processes running simultaneously. * Make sure the configuration produce the smallest possible dimension.