Cross-Domain Denoising for Low-Dose Multi-Frame Spiral Computed Tomography
Rattachement africain : kr, dk. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential health risks such as cancer. The desire for lower radiation doses has driven researchers to improve reconstruction quality. Although previous studies on low-dose computed tomography (LDCT) denoising have demonstrated the effectiveness of learning-based methods, most were developed on the simulated data. However, the real-world scenario differs significantly from the simulation domain, especially when using the multi-slice spiral scanner geometry. This paper proposes a two-stage method for the commercially available multi-slice spiral CT scanners that better exploits the complete reconstruction pipeline for LDCT denoising across different domains. Our approach makes good use of the high redundancy of multi-slice projections and the volumetric reconstructions while leveraging the over-smoothing issue in conventional cascaded frameworks caused by aggressive denoising. The dedicated design also provides a more explicit interpretation of the data flow. Extensive experiments on various datasets showed that the proposed method could remove up to 70% of noise without compromised spatial resolution, while subjective evaluations by two experienced radiologists further supported its superior performance against state-of-the-art methods in clinical practice. Code is available at https://github.com/YCL92/TMD-LDCT.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Cross-Domain Denoising for Low-Dose Multi-Frame Spiral Computed Tomography
- Date Crossref
- 01/11/2024
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Korea University Education and Research Center for Socialware IT pays non établi dans la noticeUniversité ou école supérieure
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IT University of Copenhagen Department of Datalogi pays non établi dans la noticeUniversité ou école supérieure
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The Catholic University of Korea Seoul St. Mary's Hospital pays non établi dans la noticeÉtablissement de santé
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Catholic University of Korea pays non établi dans la noticeUniversité ou école supérieure
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College of Medicine Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
Education and Research Center for Socialware IT — Korea University, Department of Datalogi — IT University of Copenhagen et The Catholic University of Korea Seoul St. Mary's Hospital, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.