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Updated: Jul 5, 2025

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes

Published on: March 20, 2018

A finely segmented semi-monolithic detector tailored for high-resolution PET.

Yannick Kuhl¹, Florian Mueller¹, Stephan Naunheim¹

¹Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.

Medical Physics

|January 12, 2024

Summary

This summary is machine-generated.

This study introduces a novel semi-monolithic positron emission tomography (PET) detector for high-resolution imaging. Machine learning calibration achieved sub-millimeter spatial resolution, enabling detailed visualization of small structures in PET applications.

Keywords:

high‐resolution Positron Emission Tomography (PET)machine learning GTB fan beam calibration semi‐monolith slab detector

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Published on: December 16, 2022

Area of Science:

Medical Imaging
Nuclear Medicine
Detector Physics

Background:

High spatial resolution is crucial for preclinical and organ-dedicated Positron Emission Tomography (PET) applications.
Current high-resolution PET detectors, whether pixelated or monolithic, have inherent limitations.
Improving detector and image spatial resolution is an ongoing research objective.

Purpose of the Study:

To present a semi-monolithic detector designed for high-resolution PET applications, aiming for spatial resolution of 1 mm or better.
To merge the benefits of monolithic and pixelated crystal designs.
To utilize LYSO slabs coupled to a photosensor array for enhanced optical photon density.

Main Methods:

A fan beam collimator was used for rapid calibration.
Machine-learning-based positioning models (Gradient Tree Boosting) were trained for 3D positioning, including slab identification and Depth-of-Interaction (DOI).
Position-dependent energy calibration and analytical timing calibration were employed for accurate measurements.

Main Results:

Achieved a detector spatial resolution down to 1.18 mm FWHM and 0.75 mm MAE in the planar-monolithic direction.
Obtained 2.14 mm FWHM and 1.03 mm MAE for DOI.
Demonstrated over 80% slab interaction identification, 12.7% energy resolution, and 450 ps FWHM coincidence timing resolution (CTR).

Conclusions:

The developed finely segmented, high-resolution slab detector shows promising performance for high-resolution PET.
The benchtop calibration routine enables the use of these detectors in PET systems.
This detector design advances the capability for detailed biological process visualization.