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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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Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

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Technical performance evaluation of a human brain PET/MRI system.

Armin Kolb¹, Hans F Wehrl, Matthias Hofmann

¹Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University, Roentgenweg 13, 72076 Tübingen, Germany. Armin.Kolb@med.uni-tuebingen.de

European Radiology

|July 4, 2012

Summary

This study evaluates a new human brain PET/MRI system, demonstrating its potential for simultaneous multiparametric imaging. The combined system shows uncompromised performance, enabling simultaneous acquisition of morphology and metabolism for advanced brain imaging.

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Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

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Published on: May 10, 2012

Area of Science:

Medical Imaging
Neuroscience
Biophysics

Background:

Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) are powerful, yet separate, diagnostic tools.
Simultaneous PET/MRI offers the potential for synergistic data acquisition, improving diagnostic capabilities.
Integrating PET and MRI presents technical challenges, particularly regarding hardware compatibility and signal interference.

Purpose of the Study:

To technically evaluate the performance of a novel human brain PET/MRI system.
To assess the impact of PET on MRI quality and vice versa.
To determine the system's capability for simultaneous multiparametric imaging.

Main Methods:

A magnetic field-compatible PET insert utilizing avalanche photodiode (APD) arrays and lutetium oxyorthosilicate (LSO) crystals was integrated into a 3-Tesla MRI system.
Hardware design focused on minimizing mutual interference to preserve B(0) and B(1) field homogeneity.
Performance was evaluated using phantom tests (FBIRN protocol for fMRI, NEMA standards for PET) and initial patient data.

Main Results:

MR image signal-to-noise ratio (SNR) and homogeneity were minimally affected by the PET insert.
The system demonstrated capability for functional MRI (fMRI) according to the FBIRN protocol.
PET performance metrics included a peak Noise Equivalent Count Rate (NEC) of 30.7 × 10^3 counts/s, sensitivity >7%, and spatial resolution <3 mm.
Initial patient data showed good PET and MR image quality.

Conclusions:

The evaluated brain PET/MRI system enables uncompromised imaging performance.
Phantom tests and patient data confirm the device's potential for simultaneous multiparametric imaging.
This technology aims to provide integrated morphological and metabolic information for enhanced diagnostics.