A Novel Digital Method for Evaluation of Mucosa Thickness Changes in Time: Changes Associated With a Removable Partial Denture


  • Marko Kuralt 1 Department of Restorative Dentistry and Endodontics, University Medical Centre Ljubljana, Slovenia 2 Faculty of Medicine, University of Ljubljana, Slovenia https://orcid.org/0000-0002-6940-1107
  • Manushaqe Selmani Bukleta 1 Faculty of Medicine, University of Ljubljana, Slovenia 2 School of Dentistry, Faculty of Medicine, University of Prishtina, Kosovo
  • Milan Kuhar 1 Department of Prosthetic Dentistry, Faculty of Medicine, University of Ljubljana, Slovenia 2 Department of Prosthodontics, University Medical Centre Ljubljana, Slovenia
  • Aleš Fidler 1 Department of Restorative Dentistry and Endodontics, University Medical Centre Ljubljana, Slovenia 2 Department of Endodontics and Operative Dentistry, Faculty of Medicine, University of Ljubljana, Slovenia https://orcid.org/0000-0003-3916-1111




cone beam computed tomography, image analysis, optical scanning, oral mucosa, removable partial denture


The aim of the study was to propose a method for three-dimensional evaluation and visualisation of mucosa thickness and mucosa thickness changes and to validate it in four different software implementations. Cone-beam computed tomography (CBCT) and digitised mandibular impression, i.e., optical scan, of five patients treated with a mandibular distal extension removable partial denture were acquired at baseline (T0) and 1-year follow-up (T1). CBCT images were automatically segmented and then superimposed with a corresponding optical scan and within a patient. To obtain mucosa thickness changes in the T0-T1 interval, firstly, the distances between T0 and T1 models were computed for mucosa surface, representing surface changes (dSurface) and bone surface, representing bone changes (dBone). The distances were saved as scalar field values in the mesh model. Finally, the mucosa thickness changes (dMucosa) were calculated by subtracting the corresponding dBone from dSurface values. Distance computation algorithms in four different software were tested and compared. No differences were found between all four tested software (p


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How to Cite

Kuralt, M., Selmani Bukleta, M., Kuhar, M., & Fidler, A. (2022). A Novel Digital Method for Evaluation of Mucosa Thickness Changes in Time: Changes Associated With a Removable Partial Denture. Image Analysis and Stereology, 41(3), 181–191. https://doi.org/10.5566/ias.2767



Original Research Paper