Скачать или смотреть Debugging 3D Brain MRI Viewer: Solving Volumetric Data Rendering Issues in JavaScript and Flask

Welcome back to another live coding session! Today, I'm diving deep into troubleshooting and debugging a 3D brain MRI viewer application built with JavaScript, WebGL, and Flask. In this video, we tackle a persistent issue with rendering volumetric data on the fourth panel of our web application. The volumetric data isn't loading correctly, and we're exploring various solutions, from fixing JavaScript functions to adjusting the backend Flask code and preprocessing scripts.

Try out the tool here: https://bionichaos.com/Brain3D

Throughout the video, I discuss different coding techniques, test new methods to load and visualize 3D brain data, and make live changes to ensure everything runs smoothly. If you're interested in learning how to create interactive biomedical applications or just want to see how to solve complex rendering issues, this is the video for you!

You can support the channel by becoming a member on YouTube or by visiting   / bionichaos   to help fund this project. Join me on this journey as we explore new tools and develop innovative biomedical applications. Your feedback is invaluable, so feel free to share your thoughts to help improve the project. For the latest updates and access to our tools, check out BioniChaos.com. Your support allows us to continue creating interactive and engaging applications that make biomedical data accessible to everyone.

#3DVisualization #WebGL #JavaScript #Flask #BiomedicalData #MRIViewer #DataScience #MachineLearning #Debugging #CodingLiveStream #OpenSource #BrainData #Python #Preprocessing #InteractiveApplications #BioniChaos

0:00 - Introduction and current issues: Fourth panel not displaying volumetric data
0:07 - Identifying the problem: Volumetric data and empty fourth panel
0:18 - Checking JavaScript and load functions
0:40 - Discussing keyboard shortcuts and navigation challenges
1:01 - Understanding WebGL, orbit controls, and 3D model interaction
1:30 - Regenerating the code and checking for errors
2:01 - Reviewing preprocessing in Python and loading NIfTI files
2:45 - Troubleshooting HTML and CSS integration
4:03 - Exploring issues with loading volumetric data using Three.js
5:14 - Analyzing the differences between static images and raw data files
6:05 - Discussing Flask backend loading issues and HTTP requests
7:05 - Regenerating volumetric data in JSON format
9:20 - Debugging the visualization: JSON loader challenges
11:04 - Adjusting camera, point cloud, and rendering techniques
13:32 - Performance optimization strategies: downsampling and level of detail
18:02 - Experimenting with point size and color adjustments
21:58 - Fine-tuning the visualization: Achieving better clarity in brain patterns
25:12 - Reviewing preprocessing steps and testing new data sets
30:06 - Final adjustments and setting default images on page load
35:00 - Summary, current progress, and plans for future sessions