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. 2023 Apr 6;10:26. doi: 10.1186/s40658-023-00542-x

Correction: Comparison of deep learning-based denoising methods in cardiac SPECT

Antti Sohlberg 1,2,✉, Tuija Kangasmaa 3, Chris Constable 2, Antti Tikkakoski 4
PMCID: PMC10079784  PMID: 37022567

Correction: EJNMMI Physics (2023) 10:9 10.1186/s40658-023-00531-0

Following publication of the original article [1], the authors identified an error in Fig. 1. The correct figure is given below.

Fig. 1.

Fig. 1

DL models. The number under the blocks presents the patch size (upper number) and number of filters (lower number). Noisy 32 × 32 × 32 patches cropped from reduced acquisition time OSEM images were used as model input and model gave denoised 32 × 32 × 32 patches as output. Output patches were later combined using weighted averaging to produce images at the original reconstruction matrix size

The original article [1] has been updated.

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Reference

  • 1.Sohlberg A, Kangasmaa T, Constable C, et al. Comparison of deep learning-based denoising methods in cardiac SPECT. EJNMMI Phys. 2023 doi: 10.1186/s40658-023-00531-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

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