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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: Jun 28, 2026

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

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A bioimaging integration system implemented for neurological applications

G Rizzo¹, M C Gilardi, A Prinster

¹INB-CNR, University of Milan, Italy.

Journal of Nuclear Biology and Medicine (Turin, Italy : 1991)

|December 1, 1994

Summary

This summary is machine-generated.

A new bioimaging integration system (BIS) fuses multimodal biomedical images for neurological applications. This system enables accurate anatomical-functional correlation analysis in research and clinical studies.

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Area of Science:

Biomedical imaging
Medical image analysis
Neurological applications

Background:

Multimodal biomedical imaging offers comprehensive insights.
Integrating diverse imaging modalities like MRI, PET, and CT presents technical challenges.
Neurological applications require precise fusion of anatomical and functional data.

Purpose of the Study:

To implement a Bioimaging Integration System (BIS) for managing and fusing multimodal biomedical images.
To enable accurate anatomical-functional correlation in neurological research.
To validate the system's performance in clinical studies.

Main Methods:

Developed a network for image transmission and processing.
Created a software library for image standardization.
Implemented an image registration technique for multimodal volumetric image projection into a common reference space.

Main Results:

The registration procedure achieved misalignment errors of 2.6 mm (xy plane) and 3.4 mm (z axis) in MRI/PET correlation studies.
BIS successfully integrated X-ray CT, MRI, PET, and SPECT data.
The system was validated for anatomical-functional correlation analysis.

Conclusions:

The Bioimaging Integration System (BIS) effectively manages and fuses multimodal biomedical images for neurological applications.
BIS provides a validated platform for anatomical-functional correlation analysis.
The system supports both neurological research protocols and clinical studies.