Diagnostic value of a second-generation super-resolution deep learning–based reconstruction combined with a metal artifact reduction algorithm for pelvic CT

Authors

Osamu Abe (ORCID: https://orcid.org/0000-0002-1180-2629)
Taku Takaishi (ORCID: https://orcid.org/0000-0002-2105-5268)
Chiaki Sato (ORCID: https://orcid.org/0000-0002-0810-0300)
Koichiro Yasaka (ORCID: https://orcid.org/0000-0002-0324-6562)
Kazuyoshi Miyamoto
Kohei Gotoda

Institutions

University of Tokyo Hospital (JP)

Publication Details

Journal: Skeletal Radiology
Published: 2025-11-15
DOI: https://doi.org/10.1007/s00256-025-05080-4
Primary Topic: Advanced X-ray Imaging Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Canon Medical Systems Corporation
University of Tokyo

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article

Diagnostic value of a second-generation super-resolution deep learning–based reconstruction combined with a metal artifact reduction algorithm for pelvic CT

Osamu Abe, Taku Takaishi, Chiaki Sato, Koichiro Yasaka et al.

Nov 15, 2025

Skeletal Radiology

Advanced X-ray Imaging Techniques

article

Diagnostic value of a second-generation super-resolution deep learning–based reconstruction combined with a metal artifact reduction algorithm for pelvic CT

Osamu Abe, Taku Takaishi, Chiaki Sato, Koichiro Yasaka, Kazuyoshi Miyamoto, Kohei Gotoda

November 15, 2025article en

Abstract

No abstract available for this paper.

Skeletal RadiologyVol. 55(4)

University of Tokyo Hospital (JP)

Canon Medical Systems Corporation, University of Tokyo

Openalex Percentile: Top 56%

Advanced X-ray Imaging Techniques

DOI Open Access PDF OpenAlex

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