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01:29Positron Emission Tomography
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
01:25Imaging Studies II: Positron Emission Tomography and Scintigraphy
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
Fundamental Principles of PET
01:14Brain 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).
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: Jul 21, 2026
09:03
Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
Published on: October 22, 2019
A spheroid positron emission tomograph for brain imaging: a feasibility study
D C Ficke1, J T Hood, M M Ter-Pogossian
1Mallinckrodt Institute of Radiology, Department of Chemistry, Washington University School of Medicine, St. Louis, Missouri.
Summary
This study optimized spheroid positron emission tomography (PET) systems using GSO scintillators for enhanced brain imaging sensitivity and signal-to-noise ratio. The research details system geometry, detector design, and scatter coincidence contributions for improved PET performance.
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Area of Science:
- Medical Imaging
- Nuclear Medicine
- Detector Physics
Background:
- Positron Emission Tomography (PET) systems benefit from large solid angles for improved sensitivity.
- Spheroid geometry in PET scanners offers advantages for brain imaging.
- Gadolinium-based scintillator (GSO) detectors are suitable for PET applications.
Purpose of the Study:
- To investigate spheroid system geometry for PET scanners.
- To evaluate the design of experimental GSO block-type detectors.
- To determine the contribution of scattered coincidences in spheroid PET systems.
Main Methods:
- Approximating spheroidal surfaces with polygons to optimize detector distribution.
- Developing and testing experimental GSO block-type scintillation detectors.
- Experimentally evaluating scattered coincidence fractions using phantoms and a testing platform.
Main Results:
- A polyhedron of consecutive trapezoidal rings best implemented the spheroid geometry.
- Experimental GSO detectors achieved 3.4 mm spatial resolution and 18% energy resolution.
- Scatter fraction was found to be 0.32 for a 20-cm phantom and proportional to the phantom volume's square root.
Conclusions:
- Spheroid PET systems with GSO scintillators offer optimized sensitivity for cerebral studies.
- These systems exhibit reduced dead-time and improved energy resolution compared to BGO systems.
- The proposed spheroid PET system is feasible with current technological capabilities.