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ArticleAnnals of biomedical engineering2026

CBCT Dose Is Reduced with Angular Tube Current Modulation While Maintaining Image Quality and Reducing Photon Starvation Artifacts.

Tero Hyvärinen, Samuel Onnela, Timo Liimatainen, Sampo Ylisiurua, Jyri-Johan Paakki, Jyri Järvinen, Michaela K Bode, Miro-Pekka Jussila, Veli-Pekka Riekki, Matti Hanni and 1 more

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tero Hyvärinen *Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland. tero.hyvarinen@oulu.fi.
Samuel Onnela *Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Timo LiimatainenResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Sampo YlisiuruaResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Jyri-Johan PaakkiResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Jyri JärvinenResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Michaela K BodeResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Miro-Pekka JussilaResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Veli-Pekka RiekkiResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Matti HanniResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.
Mikael BrixResearch Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.

Funding

Business Finland 8095/31/2022
6 · The paper itself

Abstract

purposeThis study evaluated whether scout-derived angular tube current modulation (ATCM) in cone beam computed tomography (CBCT) can reduce radiation dose while preserving image quality. ATCM is routine in helical CT but remains absent from clinical CBCT and is largely unexplored in the literature.

methodsA projection-based intensity-dependent noise model was developed using polymethyl methacrylate slab measurements at 80-120 kV. Posterior-anterior and lateral scout views were used to derive angle-dependent elliptical attenuation estimates and to derive per-angle current-time product profiles. ATCM was emulated using projection data acquired with a clinical CBCT system and tested using anthropomorphic phantoms and a uniform water phantom. Dose-area product (DAP), effective dose based on Monte Carlo calculations, image noise magnitude, and noise texture were compared between modulated and unmodulated reconstructions. Image quality was subjectively evaluated by five board-certified radiologists using blinded paired preference scoring (60 paired reads; 12 pairs × 5 radiologists).

resultsATCM reduced DAP by up to 17% and effective dose by up to 20%, while maintaining image quality and noise texture, with improved reader preference in specific protocols. Modulated reconstructions showed reduced photon starvation artifacts in high-attenuation projection views and improved delineation of thoracic vertebra in selected protocols. Radiologists preferred ATCM in 60% of paired comparisons, most consistently for torso and jaw protocols (80 and 60% of paired comparisons, respectively).

conclusionScout-derived ATCM for CBCT enables dose reduction while maintaining image quality, with improved reader preference in specific protocols, and reduced artifacts.

Indexed as

Angular tube current modulation (ATCM)Cone beam computed tomography (CBCT)Dose optimizationImage quality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.