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Assessment of cone-beam CT technical image quality indicators and radiation dose for optimal STL model used in visual surgical planning

Juha Koivisto*, Jan Wolff, Ruben Pauwels, Touko Kaasalainen, Anni Suomalainen, Patricia Stoor, Jani Horelli, Juho Suojanen

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Objectives: The aim of this study was to identify cone-beam computed tomography (CBCT) protocols that offer an optimal balance between effective dose (ED) and 3D model for orthognathic virtual surgery planning, using CT as a reference, and to assess whether such protocols can be defined based on technical image quality metrics. Methods: Eleven CBCT (VISO G7, Planmeca Oy, Helsinki, Finland) scan protocols were selected out of 32 candidate protocols, based on ED and technical image quality measurements. Next, an anthropomorphic RANDO SK150 phantom was scanned using these 11 CBCT protocols and 2 CT scanners for bone quantity assessments. The resulting DICOM (Digital Imaging and Communications in Medicine) files were converted into Standard Tessellation Language (STL) models that were used for bone volume and area measurements in the predefined orbital region to assess the validity of each CBCT protocol for virtual surgical planning. Results: The highest CBCT bone volume and area of the STL models were obtained using normal dose protocol (F2) and ultra-low dose protocol (J13), which resulted in 48% and 96% of the mean STL bone volume and 48% and 95% of the bone area measured on CT scanners, respectively. Conclusions: The normal dose CBCT protocol “F2” offered optimal bone area and volume balance for STL. The optimal CBCT protocol can be defined using contrast-to-noise ratio and modulation transfer function values that were similar to those of the reference CT scanners’. CBCT scanners with selected protocols can offer a viable alternative to CT scanners for acquiring STL models for virtual surgical planning at a lower effective dose.

OriginalspracheEnglisch
ZeitschriftDentomaxillofacial Radiology
Jahrgang53
Ausgabenummer6
Seiten (von - bis)423-433
Seitenumfang11
ISSN0250-832X
DOIs
PublikationsstatusVeröffentlicht - 01.09.2024

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Strategische Forschungsbereiche und Zentren

  • Forschungsschwerpunkt: Biomedizintechnik

DFG-Fachsystematik

  • 2.22-28 Zahnheilkunde; Mund-, Kiefer- und Gesichtschirurgie
  • 2.22-30 Radiologie

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