Image Acquisition and Attenuation Map Estimation for Multi-pinhole Clinical SPECT

Doctoral thesis (2021)

Authors

Y. Chen RST/Biomedical Imaging - AS
Research Group
RST/Biomedical Imaging (AS) (TU Delft)
Copyright: © 2021 Y. Chen
DOI
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https://doi.org/10.4233/uuid:49102b45-50fc-4d17-a38b-eb9de43f6c1e
Convolutional neural network Monte Carlo simulation Brain SPECT Pinhole collimation DaTscan Sufficient sampling
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Applied Sciences

Department

RST/Radiation, Science and Technology

Research Group

RST/Biomedical Imaging

Abstract

Single-photon emission computed tomography (SPECT) is a well-established nuclear imaging modality for studying functional and pathological properties of the brain. Conventional general purpose SPECT systems typically offer a spatial resolution of about 10 mm with a sensitivity of 0.01-0.02%. A few dedicated brain SPECT scanners have been proposed, but resolutions and sensitivities are no better than 7 mm and 0.03% respectively, and some of these scanners are not manufactured anymore. This limited resolution hampers detection of localized brain abnormalities, while the low sensitivity requires a long scanning time that limits fast dynamic studies. Besides a compromised resolution and sensitivity, conventional SPECT systems require rotation of heavy detectors to obtain sufficient angular projections, which hamper fast dynamic imaging.