Literature DB >> 25963719

Analysis of linear measurements on 3D surface models using CBCT data segmentation obtained by automatic standard pre-set thresholds in two segmentation software programs: an in vitro study.

Marcelo Lupion Poleti1, Thais Maria Freire Fernandes2, Otávio Pagin3, Marcela Rodrigues Moretti2, Izabel Regina Fischer Rubira-Bullen3.   

Abstract

OBJECTIVE: The aim of this in vitro study was to evaluate the reliability and accuracy of linear measurements on three-dimensional (3D) surface models obtained by standard pre-set thresholds in two segmentation software programs.
MATERIALS AND METHODS: Ten mandibles with 17 silica markers were scanned for 0.3-mm voxels in the i-CAT Classic (Imaging Sciences International, Hatfield, PA, USA). Twenty linear measurements were carried out by two observers two times on the 3D surface models: the Dolphin Imaging 11.5 (Dolphin Imaging & Management Solutions, Chatsworth, CA, USA), using two filters(Translucent and Solid-1), and in the InVesalius 3.0.0 (Centre for Information Technology Renato Archer, Campinas, SP, Brazil). The physical measurements were made by another observer two times using a digital caliper on the dry mandibles.
RESULTS: Excellent intra- and inter-observer reliability for the markers, physical measurements, and 3D surface models were found (intra-class correlation coefficient (ICC) and Pearson's r ≥ 0.91). The linear measurements on 3D surface models by Dolphin and InVesalius software programs were accurate (Dolphin Solid-1 > InVesalius > Dolphin Translucent). The highest absolute and percentage errors were obtained for the variable R1-R1 (1.37 mm) and MF-AC (2.53 %) in the Dolphin Translucent and InVesalius software, respectively.
CONCLUSION: Linear measurements on 3D surface models obtained by standard pre-set thresholds in the Dolphin and InVesalius software programs are reliable and accurate compared with physical measurements. CLINICAL RELEVANCE: Studies that evaluate the reliability and accuracy of the 3D models are necessary to ensure error predictability and to establish diagnosis, treatment plan, and prognosis in a more realistic way.

Entities:  

Keywords:  Cone beam computed tomography; Dimensional measurement accuracy; Mandible; Segmentation; Three-dimensional image

Mesh:

Year:  2015        PMID: 25963719     DOI: 10.1007/s00784-015-1485-5

Source DB:  PubMed          Journal:  Clin Oral Investig        ISSN: 1432-6981            Impact factor:   3.573


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