A Maximum NEC Criterion for Compton Collimation to Accurately Identify True Coincidences in PET

A Maximum NEC Criterion for Compton Collimation to Accurately Identify True Coincidences in PET

In this work, we propose a new method to increase the accuracy of identifying true coincidence events for positron emission tomography (PET). This approach requires 3-D detectors with the ability to position each photon interaction in multi-interaction photon events. When multiple interactions occur...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2011-07, Vol.30 (7), p.1341-1352
Main Authors: Chinn, G., Levin, C. S.
Format: Article
Language:eng
Subjects:
3-D positioning detector
Algorithms
Breast - anatomy & histology
Cadmium
Coincidences
Collimation
Compton collimation
Detectors
Elastic scattering
Energy resolution
Female
Humans
Image Processing, Computer-Assisted - methods
Image reconstruction
iterative image reconstruction
Monte Carlo Method
Monte Carlo methods
Monte Carlo simulation
multiple photon coincidences
noise equivalent counts (NEC)
Phantoms, Imaging
Photonics
Photons
Positron emission
Positron emission tomography
positron emission tomography (PET)
Positron-Emission Tomography - instrumentation
Positron-Emission Tomography - methods
random coincidences
Semiconductors
Spatial resolution
Tellurium
Zinc
Online Access:Get full text
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Summary:In this work, we propose a new method to increase the accuracy of identifying true coincidence events for positron emission tomography (PET). This approach requires 3-D detectors with the ability to position each photon interaction in multi-interaction photon events. When multiple interactions occur in the detector, the incident direction of the photon can be estimated using the Compton scatter kinematics (Compton Collimation). If the difference between the estimated incident direction of the photon relative to a second, coincident photon lies within a certain angular range around colinearity, the line of response between the two photons is identified as a true coincidence and used for image reconstruction. We present an algorithm for choosing the incident photon direction window threshold that maximizes the noise equivalent counts of the PET system. For simulated data, the direction window removed 56%-67% of random coincidences while retaining >; 94% of true coincidences from image reconstruction as well as accurately extracted 70% of true coincidences from multiple coincidences.
ISSN:0278-0062
1558-254X