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I’m working on a visualization application for brain imaging data. Currently, our focus is on T1 anatomical imaging, with plans to expand to T2-weighted, fMRI, DTI, and other modalities in the future.
We’re exploring the edge.js version of XTK and have encountered a challenge. Specifically, we need to:
• Draw points on the surface of a 3D rendered anatomical brain.
• Measure the distance between these points.
Given the complexity of the brain’s curvature, we’re uncertain how to effectively measure distances, particularly in differentiating between Euclidean and non-Euclidean metrics.
Questions:
1. Which API functions or features would you recommend exploring to achieve the drawing of points and measurement of distances on the 3D brain surface?
2. Are there any potential issues related to the curvature of the brain that we should be aware of when implementing these measurements? At minimum, we want to be able to measure the Euclidean distance between points.
Your guidance would be greatly appreciated.
Thank you for your time and assistance.
The text was updated successfully, but these errors were encountered:
Hello,
I’m working on a visualization application for brain imaging data. Currently, our focus is on T1 anatomical imaging, with plans to expand to T2-weighted, fMRI, DTI, and other modalities in the future.
We’re exploring the edge.js version of XTK and have encountered a challenge. Specifically, we need to:
• Draw points on the surface of a 3D rendered anatomical brain.
• Measure the distance between these points.
Given the complexity of the brain’s curvature, we’re uncertain how to effectively measure distances, particularly in differentiating between Euclidean and non-Euclidean metrics.
Questions:
1. Which API functions or features would you recommend exploring to achieve the drawing of points and measurement of distances on the 3D brain surface?
2. Are there any potential issues related to the curvature of the brain that we should be aware of when implementing these measurements? At minimum, we want to be able to measure the Euclidean distance between points.
Your guidance would be greatly appreciated.
Thank you for your time and assistance.
The text was updated successfully, but these errors were encountered: