Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning

Area of Science:

• Neuroscience
• Medical Imaging
• Pathology

Background:

• Magnetic resonance imaging (MRI) is sensitive for detecting tissue abnormalities but lacks specificity in the central nervous system.
• Similar MRI findings can result from diverse pathological processes like inflammation, demyelination, or neuronal death.
• Accurate radiological-histopathological correlation is crucial for interpreting MRI scans but is hindered by traditional imprecise tissue sectioning.

Purpose of the Study:

• To present a novel methodology for accurate sectioning of primate brain tissues.
• To enable precise matching between histology and MRI data.
• To provide a detailed protocol for implementing this method in research.

Main Methods:

• Development of novel methodology for accurate brain tissue sectioning.
• Utilizing 3D printed brain slicers for consistent tissue slicing.
• Adaptable protocol for primate brains, extendable to other species including humans.

Main Results:

• Achieved accurate sectioning of primate brain tissues.
• Enabled precise matching between histological sections and MRI data.
• Demonstrated the utility of 3D printed brain slicers for improved correlation.

Conclusions:

• The novel methodology facilitates precise radiological-histopathological correlation.
• 3D printed brain slicers improve the accuracy of brain tissue sectioning.
• This technique enhances the interpretation of MRI findings in neuropathology research.