Surface-bounded growth modeling applied to human mandibles

Andresen, Per Rønsholt; Bookstein, Fred L.; Couradsen, K.; Ersbøll, Bjarne Kjær; Marsh, Jeffrey L.; Kreiborg, Sven

doi:10.1109/42.896780

Cited by 99 publications

(88 citation statements)

References 33 publications

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“…2,3,9,10 The complex movements during surgery for dentofacial deformities clearly need to be assessed in 3 dimensions to improve stability and reduce symptoms of temporomandibular joint disorder after surgery. [11][12][13][14][15][16][17][18][19][20] 3D reconstructions of the mandibular rami and condyles have been based on magnetic resonance imaging or computed tomography. 3,9,21,22 Cone-beam computed tomography (CBCT) scanners with lower radiation doses and lower costs, developed in the late 1990s, have been remarkably useful for their intended craniofacial applications.…”

Section: Conclusion-mentioning

confidence: 99%

Three-dimensional cone-beam computed tomography for assessment of mandibular changes after orthognathic surgery

Cevidanes

Bailey

Tucker

et al. 2007

American Journal of Orthodontics and Dentofacial Orthopedics

189

119

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Section: Conclusion-mentioning

confidence: 99%

Three-dimensional cone-beam computed tomography for assessment of mandibular changes after orthognathic surgery

Cevidanes

Bailey

Tucker

et al. 2007

American Journal of Orthodontics and Dentofacial Orthopedics

189

119

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“…These challenges refer to registration and homology issues and also to the difficulty of landmark locations on anatomic surfaces. [12][13][14][15][16] …”

mentioning

confidence: 99%

Image analysis and superimposition of 3-dimensional cone-beam computed tomography models

Cevidanes¹,

Styner²,

Proffit³

2006

American Journal of Orthodontics and Dentofacial Orthopedics

301

200

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Three-dimensional (3D) imaging techniques can provide valuable information to clinicians and researchers. But as we move from traditional 2-dimensional (2D) cephalometric analysis to new 3D techniques, it is often necessary to compare 2D with 3D data. Cone-beam computed tomography (CBCT) provides simulation tools that can help bridge the gap between image types. CBCT acquisitions can be made to simulate panoramic, lateral, and posteroanterior cephalometric radioagraphs so that they can be compared with preexisting cephalometric databases. Applications of 3D imaging in orthodontics include initial diagnosis and superimpositions for assessing growth, treatment changes, and stability. Three-dimensional CBCT images show dental root inclination and torque, impacted and supernumerary tooth positions, thickness and morphology of bone at sites of mini-implants for anchorage, and osteotomy sites in surgical planning. Findings such as resorption, hyperplasic growth, displacement, shape anomalies of mandibular condyles, and morphological differences between the right and left sides emphasize the diagnostic value of computed tomography acquisitions. Furthermore, relationships of soft tissues and the airway can be assessed in 3 dimensions.To routinely benefit from 3-dimensional (3D) imaging, which can provide stacks of axial, lateral, and anteroposterior slices, clinicians need userfriendly tools to construct virtual 3Dmodels. These can be used in initial diagnosis and assessing changes as a result of treatment. Although shape analysis tools have become more readily available, most current software requires some computer expertise.As new tools are developed, we can navigate away from the limitations of conventional cephalometrics, but we still need to allow comparisons to previously acquired cephalograms. 1 It is important to be able to use superimpositions and current images to evaluate growth changes. Various techniques for the reconstruction of 3D computed tomography (CT) images have been used in diagnosis, treatment planning, and simulation. [2][3][4][5][6][7][8][9][10][11] However, image superimposition for the assessment of changes with treatment poses many challenges. These challenges refer to registration and homology issues and also to the difficulty of landmark locations on anatomic surfaces. [12][13][14][15][16] NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript location in each of the 3 planes of space. We describe superimposition methods that do not depend on landmarks or planes but, rather, compare the cranial base structures voxel by voxel of each CT acquisition. These procedures allow us to calculate the rotation and translation parameters between 2 time-point images, display the superimposed 3D virtual models, and measure the distances between the 3D model's surfaces. CONE-BEAM CT DEVICESNewTom 3G (Aperio Services, Sarasota, Fla), i-CAT (Imaging Sciences International, Hatfield, Pa), and CB MercuRay (Hitachi Medical Corporation, Tokyo, Japan) are the conebeam (CB) CT (CBCT) sc...

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“…For the PCs we see that there is strong relationship between PC1, age and size. This means that PC1 relates to mandible growth, as was also concluded and utilized in [10]. PC2 and PC3 does not correlate to age or size but contain variation between individuals.…”

Section: Mandible Datasetmentioning

confidence: 99%

“…The scans were performed for diagnostic and treament planning purposes and supplied by Dr. Sven Kreiborg (School of Dentistry, University of Copenhagen, Denmark) and Dr. Jeffrey L. Marsh (Plastic and Reconstructive Department for Pediatric Plastic Surgery, Washington University School of Medicine at St. Louis Children's Hospital, St. Louis, Missouri, USA). The surface extraction and registration was carried out using matching of the extremal mesh followed by a geometry-constrained diffusion procedure described in [10,11]. The surfaces contain approximately 14.000 homologous points.…”

Section: Methodsmentioning

confidence: 99%

Statistical 2D and 3D Shape Analysis Using Non-Euclidean Metrics

Larsen

Hilger

Wrobel

2002

Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002

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Abstract. The contribution of this paper is the adaptation of data driven methods for non-Euclidean metric decomposition of tangent space shape coordinates. This basic idea is to take extend principal components analysis to take into account the noise variance at different landmarks and at different shapes. We show examples where these non-Euclidean metric methods allow for easier interpretation by decomposition into biologically meaningful modes of variation. The extensions to PCA are based on adaptation of maximum autocorrelation factors and the minimum noise fraction transform to shape decomposition. A common basis of the methods applied is the assessment of the annotation noise variance at individual landmarks. These assessments are based on local models or repeated annotations by independent operators.

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Surface-bounded growth modeling applied to human mandibles

Cited by 99 publications

References 33 publications

Three-dimensional cone-beam computed tomography for assessment of mandibular changes after orthognathic surgery

Three-dimensional cone-beam computed tomography for assessment of mandibular changes after orthognathic surgery

Image analysis and superimposition of 3-dimensional cone-beam computed tomography models

Statistical 2D and 3D Shape Analysis Using Non-Euclidean Metrics

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