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Updated: Jan 16, 2026

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A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains
Published on: November 8, 2018
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PET Imaging of the Human Brain with Microvolumetric Spatial Resolution.
Vincent Doyon1, Otman Sarrhini1, Francis Loignon-Houle1
1Department of Medical Imaging and Radiation Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Summary
Ultra-high-resolution (UHR) PET imaging achieved nearly 2 µL volumetric resolution, revealing previously indistinguishable small brain structures. This advancement offers enhanced quantification for neuropsychiatry and neurodegenerative disease research.
Area of Science:
- Neuroimaging
- Medical Physics
Background:
- Positron Emission Tomography (PET) is crucial for in vivo human brain biochemistry and physiology studies.
- Limited spatial resolution of conventional PET restricts visualization of small cerebral structures.
Purpose of the Study:
- To report the achievement of nearly 2 µL volumetric spatial resolution in human brain PET imaging.
- To demonstrate the capability of ultra-high-resolution (UHR) PET to resolve small brain structures.
Main Methods:
- Development of a dedicated UHR PET scanner with 1.2-mm pixelated detectors.
- Acquisition of 18F-FDG PET images of the human brain using the UHR PET scanner.
- Image reconstruction using 3D OSEM with analytic coincidence function modeling and normalization to MNI152 template.
Main Results:
- UHR PET images clearly identified major brain regions and small structures like subthalamic areas and brainstem nuclei.
- Enhanced quantification was suggested by higher SUV ratios in UHR PET compared to PET/CT.
- A hypermetabolic focus in the cerebellum, unseen in PET/CT and MR, was detected in one patient.
Conclusions:
- UHR PET successfully generated human brain images at nearly 2 µL volumetric spatial resolution.
- Previously unresolved small brain regions were visualized, enabling more detailed studies.
- This technology holds potential for advancing neuropsychiatry, neurooncology, and neurodegenerative disease research.
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