Three-dimensional perception of cinematic rendering versus conventional volume rendering using CT and CBCT data of the facial skeleton.


Journal

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
ISSN: 1618-0402
Titre abrégé: Ann Anat
Pays: Germany
ID NLM: 100963897

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 08 10 2021
revised: 17 12 2021
accepted: 21 01 2022
pubmed: 13 2 2022
medline: 9 3 2022
entrez: 12 2 2022
Statut: ppublish

Résumé

The aim of this exploratory study is to analyse whether three-dimensional cinematic rendering image reconstructions offer advantages over conventional volume rendering in the visualisation of cone beam computed tomography (CBCT) and computed tomography (CT) images of the facial skeleton. This is of interest, as some information gets lost during the rendering process. This especially applies to structures in the background of the image and some surface information which can be lost. The commonly applied two-dimensional representation of CBCT or CT images in three different axes requires experience for interpretation. Cinematic rendering is a new three-dimensional post processing reconstruction technique, creating photo realistic visualisations, thus possibly enabling an easier interpretation of the images. In this study, ten investigators assessed ten separate patient cases of the orofacial skeleton. For each case, a conventional volume rendering image reconstruction and a cinematic rendering reconstruction of the same area was created. A specially designed questionnaire assessed both objective and subjective criteria of image perception. Objective criteria were assessed by predefined questions on the visual perception of anatomical image characteristics, showing the two reconstruction types of each case randomly to the investigators in two sessions. Subjective criteria were assessed via a visual analogue scale, showing both reconstructions simultaneously in a third session. The results show that cinematic rendering offers advantages especially in the evaluation of depth perception and three-dimensionality. Volume rendering shows advantages in surface sharpness. Cinematic Rendering was subjectively rated higher for almost all reconstructions. The cinematic rendering process however may cause loss of information and blurring of surfaces compared to volume rendering. With respect to the subjective impression, cinematic rendering scored better than volume rendering. The visualisation is perceived as being very close to reality.

Identifiants

pubmed: 35150863
pii: S0940-9602(22)00020-6
doi: 10.1016/j.aanat.2022.151905
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

151905

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier GmbH.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Tobias Steffen (T)

Clinic of Cranio-Maxillofacial and Oral Surgery, University of Zurich, Switzerland; Clinic of Conservative and Preventive Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.

Sebastian Winklhofer (S)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.

Felicitas Starz (F)

Clinic of Cranio-Maxillofacial and Oral Surgery, University of Zurich, Switzerland.

Daniel Wiedemeier (D)

Statistical Services, Center of Dental Medicine, University of Zurich, Switzerland.

Uzeyir Ahmadli (U)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland; University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Switzerland.

Bernd Stadlinger (B)

Clinic of Cranio-Maxillofacial and Oral Surgery, University of Zurich, Switzerland. Electronic address: bernd.stadlinger@zzm.uzh.ch.

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Classifications MeSH