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Related Experiment Video

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Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging

Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging

Published on: June 26, 2017

A practical, automated quality assurance method for measuring spatial resolution in PET.

Martin A Lodge¹, Arman Rahmim, Richard L Wahl

¹Division of Nuclear Medicine, Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. mlodge1@jhmi.edu

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine

|July 21, 2009

Summary

A new quality assurance method standardizes Positron Emission Tomography (PET) data collection for multicenter trials. This practical approach accurately measures spatial resolution across different scanners and protocols, aiding consistent clinical imaging.

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Last Updated: Jun 21, 2026

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Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Area of Science:

Medical Imaging
Nuclear Medicine
Quantitative Imaging

Background:

Multicenter Positron Emission Tomography (PET) trials face challenges due to variations in scanners, protocols, and reconstruction algorithms.
Inconsistent data collection hinders the comparability and reliability of results in multicenter PET studies.

Purpose of the Study:

To develop and validate a quality assurance (QA) method for standardizing spatial resolution measurements in clinical PET imaging protocols.
To facilitate consistent data collection across different institutions and PET systems.

Main Methods:

A (68)Ge cylinder phantom was used with uniform activity concentration and clinical imaging parameters.
Spatial resolution was determined using Fourier transforms to derive the modulation transfer function and point-spread function.
The method was validated on four distinct commercial PET systems.

Main Results:

Spatial resolution measurements were consistent, with a typical standard deviation of approximately 0.15 mm using iterative reconstruction.
The method demonstrated the potential for predicting resolution recovery coefficients for small objects.
Validation across multiple PET systems confirmed the robustness of the QA approach.

Conclusions:

The proposed QA method is practical, requires minimal phantom preparation, and features automated data analysis.
This approach effectively evaluates clinical reconstruction protocols across diverse scanners and algorithms.
The method significantly aids in standardizing PET data collection for multicenter research.