Exploring Open Source Brain MRI Data with Python | Building a 3D MRI Viewer Using Flask! скачать в хорошем качестве

Exploring Open Source Brain MRI Data with Python | Building a 3D MRI Viewer Using Flask!

Welcome to this live session, where I dive deep into the world of brain MRI data and explore how to build a 3D MRI viewer using Python, Flask, and open-source data! 🚀 We start with an introduction to brain scans and the importance of using open data sets, including a detailed look at functional MRI data from the UCLA dataset. You'll see how I use tools like 3.js for 3D rendering, navigate through the challenges of file formats like DICOM and NIFTI, and discuss the intricacies of working with medical imaging data. Throughout this video, I'll be working on a real-life Flask application that serves MRI slices and 3D models to users. Watch as I troubleshoot issues, optimize performance, and integrate mouse functionality for smoother navigation through the MRI slices. This is a great resource for anyone interested in biomedical data visualization or looking to learn more about creating web applications for medical imaging! 💬 Feel free to leave your comments, suggestions, or even complaints on how we can improve these tools! And don’t forget to check out BioniChaos.com for more interactive biomedical tools and resources. 🔔 If you enjoy this video, please subscribe to my channel and help us reach 1000 subscribers! Your support helps me continue creating content that brings science and technology closer to everyone. Tool prototype https://bionichaos.com/Brain3D The tools I develop are available on https://bionichaos.com You can support my work on   / bionichaos   #MRIViewer #PythonProgramming #BiomedicalData #OpenSource #FlaskApp #MedicalImaging #Neuroscience #MachineLearning #3DVisualization #OpenData #LiveCoding #DataScience #BioniChaos #InteractiveLearning Timestamps: 0:00 - Introduction and Welcome 0:05 - Overview of BioniChaos.com and Upcoming Tools 0:13 - Introduction to Brain MRI Scans and Open Data Sets 0:27 - Exploring Open fMRI Data: Authors, Nature Papers, and Open Access 0:48 - Discussion on Functional MRI (fMRI) Data and Low-Resolution Challenges 1:55 - Navigating Through MRI Data: Spikes, Voxels, and Time Series 2:15 - Explanation of BOLD MRI and Brain Blood Flow 2:45 - Differences Between Structural and Functional MRI 3:00 - Downloading and Handling MRI Files 3:30 - Introducing MRI File Formats: DICOM vs. NIFTI 5:02 - Setting Up the Project Structure for MRI Data Visualization 6:09 - Flask Application Setup and Serving Open Source Data 8:13 - Handling Image Rendering: Static vs. Dynamic Loading 11:47 - Challenges with the 3D Model Generation and Troubleshooting 15:19 - Improving Navigation and User Interaction with MRI Viewer 19:45 - Updating File Structure for Optimal Data Handling 23:03 - Discussing Potential for Viewer Optimization 24:10 - Calls to Action and Engaging with Viewers 26:00 - Final Remarks, Questions, and Future Streams