Last updated March 13, 2025 by Sofia Vaca Narvaja
MRI is a widely used medical imaging technique in both clinical and research settings.
In neuroimaging, MRI captures detailed images of the brain for diagnosis and study.
Think a picture of the brain at a certain point in time.
Using VR to handle MRI data enhances visualization through an immersive 3D experience compared to traditional 2D methods.
Augmented Reality applications in MRI neuroimaging remain largely unexplored.
MRI is a short form for Magnetic Resonance Imaging, a method using which internal organs are imaged via strong magnetic fields and radio waves. This is useful detect clots, blockages or other forms of disturbances or deformations in the human body. An MRI scan shows a detailed and color report about body organs in the picture and according to which further medical procedures or surgeries are carried out.
MRI is widely used to visualize the structure and function of the brain and nervous system. It helps detect abnormalities such as tumors, strokes, multiple sclerosis, and neurodegenerative diseases like Alzheimer’s and Parkinson’s. Advanced MRI techniques, including functional MRI (fMRI) and diffusion tensor imaging (DTI), allow researchers and clinicians to study brain activity, connectivity, and white matter pathways in detail.
With the integration of Virtual Reality, MRI neuroimaging is becoming more immersive and interactive. VR allows users to explore and manipulate 3D brain scans in a spatial environment, enhancing medical education, diagnosis, and surgical planning. This innovation helps neurologists, radiologists, and surgeons better understand complex brain structures and plan interventions with higher precision. VR-based MRI visualization is also being used in research to study brain function in real-time and improve patient engagement by making medical imaging more accessible and intuitive
Description and Uses: fMRI
What? A set of guidelines for naming and organizing neuroimaging files that is intended to standardize many processes in neuroimaging research and foster a data ecosystem that makes collaboration and data sharing easy.
(external) fMRI Data Structures
Goals:
To become familiar with anatomical and functional MRI data
To understand how functional and anatomical scans differ
To become familiar with core BrainVoyager interfaces, features, and file types
To understand how raw data from the scanner is processed and organized
Description: In class activity using slicer + VR extension to view the 3D models in Virtual Reality.
3D Slicer + MeshLab: Making a Brain MRI Mesh
Description: Tutorial for making a 3D model of the brain for a AR/VR environment from an MRI data set.
Description: In class activity comparing exploration of a 3D brain model with three different modes of visualization and navigation combination (VR + Joystick, AR + Joystick, AR + Physical Movement)
Description: Tutorial for visualizing fMRI voxels in Paraview