Volumetry of human molars with flat panel-based volume CT in vitro

Hannig, Christian; Krieger, Eva; Dullin, Christian; Merten, H.–A.; Attin, Thomas; Grabbe, E.; Heidrich, Gabert

doi:10.1007/s00784-006-0051-6

Cited by 23 publications

(14 citation statements)

References 25 publications

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“…E-mail: delphine_maret@yahoo.frthree-dimensional (3D) reconstructions coming from 3D images needs to be clearly established. Accuracy has already been assessed 7 by comparing reconstructions using CBCT with those provided by the standard in 3D dental research, micro-CT. [8][9][10][11][12] Similar volumetric measurements were obtained using CBCT with an isotropic voxel size of 76 mm and the reference method, micro-CT, with an isotropic voxel size of 41 mm. 7 The important influence of voxel size on the quality of CBCT images and on scanning and reconstruction times is already acknowledged.…”

Section: Introductionmentioning

confidence: 69%

Effect of voxel size on the accuracy of 3D reconstructions with cone beam CT

Maret¹,

Telmon²,

Peters³

et al. 2012

Dentomaxillofacial Radiology

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Objectives: The various types of cone beam CT (CBCT) differ in several technical characteristics, notably their spatial resolution, which is defined by the acquisition voxel size. However, data are still lacking on the effects of voxel size on the metric accuracy of threedimensional (3D) reconstructions. This study was designed to assess the effect of isotropic voxel size on the 3D reconstruction accuracy and reproducibility of CBCT data. Methods: The study sample comprised 70 teeth (from the Institut d'Anatomie Normale, Strasbourg, France). The teeth were scanned with a KODAK 9500 3DH CBCT (Carestream Health, Inc., Marne-la-Vallée, France), which has two voxel sizes: 200 mm (CBCT 200 mm group) and 300 mm (CBCT 300 mm group). These teeth had also been scanned with the KODAK 9000 3DH CBCT (Carestream Health, Inc.) (CBCT 76 mm group) and the SCANCO Medical micro-CT XtremeCT (SCANCO Medical, Brü ttisellen, Switzerland) (micro-CT 41 mm group) considered as references. After semi-automatic segmentation with AMIRAH software (Visualization Sciences Group, Burlington, MA), tooth volumetric measurements were obtained. Results: The Bland-Altman method showed no difference in tooth volumes despite a slight underestimation for the CBCT 200 mm and 300 mm groups compared with the two reference groups. The underestimation was statistically significant for the volumetric measurements of the CBCT 300 mm group relative to the two reference groups (Passing-Bablok method). Conclusions: CBCT is not only a tool that helps in diagnosis and detection but it has the complementary advantage of being a measuring instrument, the accuracy of which appears connected to the size of the voxels. Future applications of such measurements with CBCT are discussed.

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Section: Introductionmentioning

confidence: 69%

Effect of voxel size on the accuracy of 3D reconstructions with cone beam CT

Maret¹,

Telmon²,

Peters³

et al. 2012

Dentomaxillofacial Radiology

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show abstract

“…This has not been systematically evaluated and offers potential advantages on our current understanding of the genetic and environmentally related differences in dentine signalling that could alter enamel structure with an impact on dental health. A minor advantage of pQCT is related to its large scanner gantry opening (9 cm) that can include several teeth at the same scanning time as fpVCT (Hannig et al. 2006), whereas μCT systems can allow evaluation of two teeth only (Peters et al.…”

Section: Discussionmentioning

confidence: 99%

“…The fpVCT has also been found suitable for the qualitative visualization of the root canal system despite its low spatial resolution of 150 μm. This technique is in fact able to visualize dentine, enamel and the root canal system in 3D‐image reconstruction that, because of the size of the gantry (40 cm in diameter), might include several teeth at the same scanning time (Hannig et al. 2006).…”

Section: Introductionmentioning

confidence: 99%

A preliminary study of the use of peripheral quantitative computed tomography for investigating root canal anatomy

Sberna¹,

Rizzo

Zacchi

et al. 2008

Int Endodontic J

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“…CBCT based on a digital flat panel detectors has the potential to reduce the size and cost of CT scanners [17]. The flat panel-based volume computed tomography (fpVCT) is shown applicable for experimental, 3D evaluation of teeth at a resolution of about 150 µm in the high contrast region [18,19]. Both convectional CT and fpVCT volumetric imaging require effective segmentation technique.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of teeth in CT volumetric dataset by panoramic projection and variational level set

et al. 2008

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Purpose Quantification of teeth is of clinical importance for various computer assisted procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries. In this regard, segmentation is a major step. Methods In this paper, we propose a method for segmentation of teeth in volumetric computed tomography (CT) data using panoramic re-sampling of the dataset in the coronal view and variational level set. The proposed method consists of five steps as follows: first, we extract a mask in a CT images using Otsu thresholding. Second, the teeth are segmented from other bony tissues by utilizing anatomical knowledge of teeth in the jaws. Third, the proposed method is followed by estimating the arc of the upper and lower jaws and panoramic re-sampling of the dataset. Separation of upper and lower jaws and initial segmentation of M. Hosntalab (B) · A. Abbaspour Tehrani-Fard teeth are performed by employing the horizontal and vertical projections of the panoramic dataset, respectively. Based the above mentioned procedures an initial mask for each tooth is obtained. Finally, we utilize the initial mask of teeth and apply a Variational level set to refine initial teeth boundaries to final contours. Results The proposed algorithm was evaluated in the presence of 30 multi-slice CT datasets including 3,600 images. Experimental results reveal the effectiveness of the proposed method. Conclusion In the proposed algorithm, the variational level set technique was utilized to trace the contour of the teeth. In view of the fact that, this technique is based on the characteristic of the overall region of the teeth image, it is possible to extract a very smooth and accurate tooth contour using this technique. In the presence of the available datasets, the proposed technique was successful in teeth segmentation compared to previous techniques.

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Volumetry of human molars with flat panel-based volume CT in vitro

Cited by 23 publications

References 25 publications

Effect of voxel size on the accuracy of 3D reconstructions with cone beam CT

Effect of voxel size on the accuracy of 3D reconstructions with cone beam CT

A preliminary study of the use of peripheral quantitative computed tomography for investigating root canal anatomy

Segmentation of teeth in CT volumetric dataset by panoramic projection and variational level set

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