A novel image processing technique for three-dimensional volumetric analysis of severely resorbed alveolar sockets with cone beam computed tomography.

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A novel image processing technique for three-dimensional volumetric analysis of severely resorbed alveolar sockets with cone beam computed tomography.

Minerva Stomatol. 2017 Feb 09;:

Authors: Manavella V, Romano F, Garrone F, Terzini M, Bignardi C, Aimetti M

Abstract
BACKGROUND: The aim of this study was to present and validate a novel procedure for the quantitative volumetric assessment of extraction sockets that combines Cone-Beam Computed Tomography (CBCT) and image processing techniques.
METHODS: The CBCT dataset of 9 severely resorbed extraction sockets was analyzed by means of two image processing software, Image J and Mimics, using manual and automated segmentation techniques. They were also applied on 5 mm spherical aluminum markers of known volume and on a polyvinyl chloride model of one alveolar socket scanned with Micro-CT to test the accuracy.
RESULTS: Statistical differences in alveolar socket volume were found between the different methods of volumetric analysis (P < 0.0001). The automated segmentation using Mimics wasthe most reliable and accurate method with a relative error of 1.5%, considerably smaller than the error of 7% and of 10% introduced by the manual method using Mimics and by the automated method using ImageJ.
CONCLUSIONS: The currently proposed automated segmentation protocol for the three-dimensional rendering of alveolar sockets showed more accurate results, excellent inter observer similarity and increased user friendliness. The clinical application of this method enables a three-dimensional evaluation of extraction socket healing after the reconstructive procedures and during the follow-up visits.

PMID: 28181789 [PubMed - as supplied by publisher]

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