dcm2niix VS brainflow

Keep in mind that DICOM images are always converted to the NIfTI format when dealing with neuroimaging data, so the different software are expecting this image type. You should always keep the original DICOM files in your archive, but convert them to NIfTI and use that as your raw data input. To convert DICOM to NIfTI, you can use a tool like dcm2niix dcm2niix.

When I try to execute the .exe in the link you have provided the program does not run. However, according to this site: https://github.com/rordenlab/dcm2niix! the niix is included in MRIcroGL which I have tried.

The spatial resolution of the scan is typically in the DICOM header, isn't it? Maybe try running the DICOM through something like dcm2niix (https://github.com/rordenlab/dcm2niix) which will convert to a NIFTI formatted image and generate a JSON file from the header. The header support isn't complete, so it might not get things correct from your CT image (or from an animal scanner for that matter), but it's worth a shot. I imagine there are similar tools for CT.

The home project I've been working on for 4 years (https://github.com/brainflow-dev/brainflow) has been downloaded 100k times from PyPI. It's a library to work with wearable devices, with primary focus on EEG.

About my current user base, I'd like to highlight we use SimpleBLE at my job, it has been integrated into BrainFlow, it is part of some new tools made by a large industrial automation company (whose name I cannot mention but rhymes with "Good product made by bees") and by a robot researcher in Germany.

BrainFlow provides a uniform SDK to work with biosensors with a primary focus on neurointerfaces. It provides SDK for Python, Java, C#, C++, Matlab, R, Julia and Rust. Core part of BrainFlow is written in C\C++ and all bindings call methods from dynamic library. User API is uniform for all supported devices and allows you to develop device agnostic applications.

I made a mod for Skyrim VR that brings your mental focus level (as determined by a Muse 2 meditation EEG device and the processing of https://brainflow.org) into Skyrim and scales your ingame magic power by your actual mental power. So you now actually need to learn to channel your inner strength if you want to be a successful mage! This is Real Virtual Magic!

I can get the complete EEG reading of four channels plus the gyro sensors and in the future also the heart rate. What I do with it is a different question :D I process the data myself, locally, using the brainflow.org library. So I do create a non-binary value at the moment

Sure! I use brainflow.org to collect the data from the muse and at the moment I just do a super simple spectral analysis and use the average alpha/theta ratio to determine brain power. This will definitely not stay. I am already experimenting with different ratios and I will probably implement a classifier that allows a more sophisticated classification later down the road. I will also augment it with the gyro sensor and the heart rate monitor that is integrated in the Muse. Ultimately, I will make it compatible with the OpenBCI Galea device. Join the discord to stay in touch!