Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network
Automatic scanner-independent 5-level categorization of the [<sup>123</sup>I]FP-CIT uptake in striatal subregions by a CNN model is feasible with clinically useful accuracy.
Authors
- Ivayla Apostolova (ORCID: https://orcid.org/0000-0003-0290-7186)
- Susanne Klutmann
- Catharina Lange (ORCID: https://orcid.org/0000-0002-6745-8441)
- Ralph Buchert (ORCID: https://orcid.org/0000-0002-0945-0724)
- Thomas Buddenkotte (ORCID: https://orcid.org/0000-0003-4872-4246)
Institutions
- Universität Hamburg (DE)
- Humboldt-Universität zu Berlin (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Annals of Nuclear Medicine
- Published
- 2025-03-16
- DOI
- https://doi.org/10.1007/s12149-025-02038-3
- Citations
- 2
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Bundesministerium für Wirtschaft und Energie