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Related Concept Videos

Positron Emission Tomography01:29

Positron Emission Tomography

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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...
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Related Experiment Video

Updated: Mar 25, 2026

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
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Visualization and Quantification of 3-Dimensional Stereotactic Surface Projections for 18F-Flutemetamol PET Using

Johan Lilja1, Lennart Thurfjell2, Jens Sörensen3

  • 1GE Healthcare, Uppsala, Sweden Nuclear Medicine and PET, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; and johan.lilja@radiol.uu.se.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|February 26, 2016
PubMed
Summary

A new variable-depth 3D-SSP method accurately analyzes amyloid PET scans by minimizing white matter signal. This technique improves the visualization and quantification of (18)F-flutemetamol uptake in the brain.

Keywords:
Alzheimer’s diseaseamyloidbrain mappingflutemetamolpositron emission tomographystereotactic surface projections

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Area of Science:

  • Neuroimaging
  • Nuclear Medicine
  • Radiochemistry

Background:

  • Three-dimensional stereotactic surface projection (3D-SSP) is standard for analyzing (18)F-FDG PET brain scans.
  • Applying 3D-SSP to amyloid PET scans is difficult due to non-specific white matter uptake of tracers like (18)F-flutemetamol.

Purpose of the Study:

  • To develop and validate a modified 3D-SSP method for quantifying and visualizing (18)F-flutemetamol PET images.
  • The goal is to specifically target gray matter signal while excluding white matter interference.

Main Methods:

  • A novel variable-depth approach was used to extract triangulated brain surface models, calculating maximum depth to exclude white matter.
  • The method was tested on two cohorts: 105 healthy volunteers for a normal database and 171 subjects (including Alzheimer's disease patients) for validation.
  • Images were spatially normalized, and SUV ratio 3D-SSP values were computed using pons and cerebellar cortex as reference regions.

Main Results:

  • Using the pons as a reference, an optimal z-score threshold of 1.97 achieved 99.42% agreement with visual interpretation (170/171 images).
  • Using the cerebellar cortex as a reference, an optimal z-score threshold of 2.41 achieved 98.25% agreement (168/171 images).

Conclusions:

  • Variable-depth 3D-SSP effectively computes and visualizes (18)F-flutemetamol 3D-SSP maps.
  • This method minimizes white matter signal contamination while preserving sensitivity for detecting gray matter abnormalities.