Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation

Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation

Abstract Background Spectral analysis is a model-free PET quantification technique that treats the time-space signal as an impulse response to a bolus injection. Band-pass spectral analysis, considering specific frequency ranges, enables calculation of separate parametric maps of receptor subtype tr...

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Bibliographic Details
Main Authors: Zeyu Chang, Colm J. McGinnity, Rainer Hinz, Manlin Wang, Joel Dunn, Ruoyang Liu, Mubaraq Yakubu, Paul Marsden, Alexander Hammers
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EJNMMI Research
Subjects:
Band-pass spectral analysis
[ $$^{11}$$ 11 C]Ro15-4513
$$\hbox {GABA}_\text {A}$$ GABA A
$$\alpha$$ α 5
PET
Parametric map
Online Access:https://doi.org/10.1186/s13550-025-01251-5
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https://doi.org/10.1186/s13550-025-01251-5

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