[Three-dimensional reconstruction of functional brain images]

Area of Science:

• Neuroscience
• Medical Imaging
• Brain Function Analysis

Background:

• Positron Emission Tomography (PET) with Statistical Parametric Mapping (SPM) is crucial for identifying brain areas in language processing.
• Conventional 2D functional brain image presentations (slices, projections, surface coloring) hinder understanding of spatial relationships between activated brain regions.

Purpose of the Study:

• To develop and evaluate novel three-dimensional (3D) reconstructed images from functional brain data to enhance the interpretation of brain activity.
• To improve the visualization of positional relationships among activated brain areas during language processing.

Main Methods:

• PET images from 12 normal volunteers were analyzed using SPM during a language task.
• Three types of images were generated: routine SPM, 3D static, and 3D dynamic.
• Volume rendering (VTK) was used for 3D static and dynamic image creation, with synthesized SPM and MRI data.
• 3D dynamic images were sequenced from static images using available software on a personal computer.

Main Results:

• The newly developed 3D static and dynamic images provided clearer positional relationships among activated brain areas compared to conventional methods.
• The volume rendering technique proved effective for visualizing brain regions.

Conclusions:

• 3D reconstructed functional brain images offer more exact and intuitive interpretations than traditional methods.
• This advanced visualization technique has potential applications beyond neurology and neurosurgery, including otorhinolaryngology for hearing and speech assessment, and may drive new developments in brain science.