Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.

Saved in:
Bibliographic Details
Title: Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.
Authors: Laurent B; LaTIM, Inserm UMR 1101, University of Brest, Brest, France., Bousse A; LaTIM, Inserm UMR 1101, University of Brest, Brest, France. alexandre.bousse@univ-brest.fr., Merlin T; LaTIM, Inserm UMR 1101, University of Brest, Brest, France., Rominger A; Department Nuclear Medicine, Bern University Hospital, University of Bern, Bern, Switzerland., Shi K; Department Nuclear Medicine, Bern University Hospital, University of Bern, Bern, Switzerland., Visvikis D; LaTIM, Inserm UMR 1101, University of Brest, Brest, France.
Source: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2025 Jun; Vol. 52 (7), pp. 2563-2576. Date of Electronic Publication: 2025 Feb 07.
Publication Type: Journal Article; Evaluation Study
Journal Info: Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first