physiopy: open development solutions for physiology in MRI

The physiopy contributors:

Daniel Alcalá, Apoorva Ayyagari, Roza G. Bayrak, Katie Bottenhorn, Molly Bright, Catie Chang, César Caballero-Gaudes,
Inés Chavarría, Niall Duncan, Elizabeth DuPre, Inês Esteves, Vicente Ferrer, Sarah Goodale, Yaroslav Halchenko, Soichi Hayashi,
Vittorio Iacovella, Tomas Lenc,
François Lespinasse, Ryan Lim, Neville Magielse, Ross Markello, Mary Miedema, Stefano Moia,
Robert Oostenveld,
Marie-Eve Picard, Joana Pinto, David Romero-Bascones, Taylor Salo, Rachael Stickland, Mi Xue Tan,
Eneko Uruñuela, Hao-Ting Wang, Merel van der Thiel, Kristina Zvolanek, & Marcel Zwiers.

physiopy

Raw data

BIDSification

physiological data preprocessing

phys. denoising

phys. imaging

Data acquisition

Process description & knowledge base

MRI-related physiology is still a niche → we need more researchers and clinicians to become interested in the topic. Sharing physiological data following the concepts of Open (Science) Data could improve the exposition of this topic

physiopy

Raw data

phys2bids


peakdet
 

phys2denoise

phys. imaging

Data acquisition

physiopy's documentation

physioQC

This project focuses on creating a physiological quality control toolbox to help retain or discard physiological data.

physioQC

  • Previous hackathons and meetings: planned the toolbox.
  • This hackathon: implement a workflow to automatise QC and get textual and image-based outputs, a starting point for QC report.

 

  • All contributions are welcome from any level of contribution!
  • We follow the all-contributors specification to report contributions, and adopt physiopy's contributors guide and code of conduct.

Follow the horse on Discord and look for our logo on the tables!

Physiopy HBMBH 2023 Montreal

By Stefano Moia