A level-set based approach for anterior teeth segmentation in cone beam computed tomography images

Ji, Dong Xu; Ong, Sim Heng; Foong, Kelvin Weng Chiong

doi:10.1016/j.compbiomed.2014.04.006

Cited by 64 publications

(43 citation statements)

References 15 publications

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“…However, other in vitro teeth segmentation methods that have already been tested, provide much faster segmentation and are useful in clinical practice. [28][29][30] In conclusion, the null hypothesis was rejected. Compared with the other windowing protocols we investigated, the 1131/1858 windowing protocol allows for significantly closer 3D in vivo segmentation of a tooth from I-CAT CBCT, with excellent intra-observer repeatability and inter-observer reproducibility.…”

Section: Resultsmentioning

confidence: 91%

Validation of a windowing protocol for accurate in vivo tooth segmentation using i-CAT cone beam computed tomography

Rastegar

Thumilaire²,

Odri

et al. 2018

Adv Clin Exp Med

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Section: Resultsmentioning

confidence: 91%

Validation of a windowing protocol for accurate in vivo tooth segmentation using i-CAT cone beam computed tomography

Rastegar

Thumilaire²,

Odri

et al. 2018

Adv Clin Exp Med

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“…These methods fail in areas where the region inside the ROI has similar intensity levels to those of the background. 19 In these periradicular lesions, bone resorption was not uniform. There were many variations in their shape, their size, their extension and their intensity distribution.…”

Section: Discussionmentioning

confidence: 99%

“…Hybrid segmentation protocols could overcome these limitations and problems. 19,20 Despite this, it is likely that a manual post-treatment will always be necessary, in cases where cortical bone is broken or there are few sharp or clear boundaries, to remove the overflow generated by the semi-automatic protocol, even when optimized.…”

Section: Discussionmentioning

confidence: 99%

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3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

Vallaeys¹,

Kacem²,

Legoux³

et al. 2015

Dentomaxillofacial Radiology

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Objectives: This study was designed to evaluate the reliability of a semi-automatic segmentation tool for dento-maxillary osteolytic image analysis compared with manually defined segmentation in CBCT scans. Methods: Five CBCT scans were selected from patients for whom periapical radiolucency images were available. All images were obtained using a ProMax® 3D Mid Planmeca (Planmeca Oy, Helsinki, Finland) and were acquired with 200-mm voxel size. Two clinicians performed the manual segmentations. Four operators applied three different semi-automatic procedures. The volumes of the lesions were measured. An analysis of dispersion was made for each procedure and each case. An ANOVA was used to evaluate the operator effect. Non-paired t-tests were used to compare semi-automatic procedures with the manual procedure. Statistical significance was set at a 5 0.01. Results: The coefficients of variation for the manual procedure were 2.5-3.5% on average. There was no statistical difference between the two operators. The results of manual procedures can be used as a reference. For the semi-automatic procedures, the dispersion around the mean can be elevated depending on the operator and case. ANOVA revealed significant differences between the operators for the three techniques according to cases. Conclusions: Region-based segmentation was only comparable with the manual procedure for delineating a circumscribed osteolytic dento-maxillary lesion. The semi-automatic segmentations tested are interesting but are limited to complex surface structures. A methodology that combines the strengths of both methods could be of interest and should be tested. The improvement in the image analysis that is possible through the segmentation procedure and CBCT image quality could be of value.

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“…However, the width of the periodontal ligament in the middle third of the root can be ,0.1 mm, so the boundary between the alveolar bone proper and the cement of the tooth root is poorly visible on the radiograph. 5,6 Simple technical increase in the resolution of CT would lead to a significant increase in the radiation dose to the patient, which will limit the use of the method in dentistry. The higher the resolution, the more the image noise, which also has a negative impact on the possibilities of segmentation.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional reconstruction of teeth and jaws based on segmentation of CT images using watershed transformation

Naumovich¹,

Naumovich²,

Goncharenko³

2015

Dentomaxillofacial Radiology

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The objective of the present study was the development and clinical testing of a threedimensional (3D) reconstruction method of teeth and a bone tissue of the jaw on the basis of CT images of the maxillofacial region. 3D reconstruction was performed using the specially designed original software based on watershed transformation. Computed tomograms in digital imaging and communications in medicine format obtained on multispiral CT and CBCT scanners were used for creation of 3D models of teeth and the jaws. The processing algorithm is realized in the stepwise threshold image segmentation with the placement of markers in the mode of a multiplanar projection in areas relating to the teeth and a bone tissue. The developed software initially creates coarse 3D models of the entire dentition and the jaw. Then, certain procedures specify the model of the jaw and cut the dentition into separate teeth. The proper selection of the segmentation threshold is very important for CBCT images having a low contrast and high noise level. The developed semi-automatic algorithm of multispiral and cone beam computed tomogram processing allows 3D models of teeth to be created separating them from a bone tissue of the jaws. The software is easy to install in a dentist's workplace, has an intuitive interface and takes little time in processing. The obtained 3D models can be used for solving a wide range of scientific and clinical tasks.

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A level-set based approach for anterior teeth segmentation in cone beam computed tomography images

Cited by 64 publications

References 15 publications

Validation of a windowing protocol for accurate in vivo tooth segmentation using i-CAT cone beam computed tomography

Validation of a windowing protocol for accurate in vivo tooth segmentation using i-CAT cone beam computed tomography

3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automaticvsmanual methods

Three-dimensional reconstruction of teeth and jaws based on segmentation of CT images using watershed transformation

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