NDLI: A probability distribution of shape for the dental maxillary arch using digital images

Content Provider	IEEE Xplore Digital Library
Author	Rijal, O.M. Abdullah, N.A. Isa, Z.M. Noor, N.M. Tawfiq, O.F.
Copyright Year	2012
Description	Author affiliation: Dept. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Noor, N.M.) \|\| Dept. of Prosthetic Dentistry, Univ. of Malaya, Kuala Lumpur, Malaysia (Isa, Z.M.; Tawfiq, O.F.) \|\| Inst. of Math. Sci., Univ. of Malaya, Kuala Lumpur, Malaysia (Rijal, O.M.; Abdullah, N.A.)
Abstract	Selected landmarks from each of 47 maxillary dental casts were used to define a Cartesian-coordinate system from which the positions of selected teeth were determined on standardized digital images. The position of the i-th tooth was defined by a line of length $(l_{i})$ joining the tooth to the origin, and the angle $(θ_{i})$ of this line to the horizontal Cartesian axis. Four teeth, the central incisor, lateral incisor, canine and first molar were selected and their position were collectively used to represent the shape of the dental arch. A pilot study using clustering and principal component analysis strongly suggest the existence of 3 groups of arch shape. In this study, the homogeneity of the 3 groups was further investigated and confirmed by the Dunn and Davies-Bouldein validity indices. This is followed by an investigation of the probability distribution of these 3 groups. The main result of this study suggests 3 groups of multivariate (MV) normal distribution. The MV normal probability distribution of these groups may be used in further studies to investigate the issues of variation of arch shape, which is fundamental to the practice of prosthodontics and orthodontics.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5420
Ending Page	5423
File Size	433952
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347220
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dentistry Shape Teeth Educational institutions Vectors Indexes Probability distribution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Shape model of the maxillary dental arch using fourier descriptors with an application in the rehabilitation for edentulous patient

A novel shape representation of the dental arch and its applications in some dentistry problems

BiofilmQuant: A computer-assisted tool for dental biofilm quantification

Automatic dental arch detection and panoramic image synthesis from CT images

An automated dental caries detection and scoring system for optical images of tooth occlusal surface

Shape matching by integral invariants on eccentricity transformed images

Segmenting overlapping cell nuclei in digital histopathology images

A new method for the integration of digital dental models and cone-beam computed tomography images

Segmentation of renal parenchymal area from ultrasoundl images using level set evolution

A probability distribution of shape for the dental maxillary arch using digital images

Similar Documents

Shape model of the maxillary dental arch using fourier descriptors with an application in the rehabilitation for edentulous patient

A novel shape representation of the dental arch and its applications in some dentistry problems

BiofilmQuant: A computer-assisted tool for dental biofilm quantification

Automatic dental arch detection and panoramic image synthesis from CT images

An automated dental caries detection and scoring system for optical images of tooth occlusal surface

Shape matching by integral invariants on eccentricity transformed images

Segmenting overlapping cell nuclei in digital histopathology images

A new method for the integration of digital dental models and cone-beam computed tomography images

Segmentation of renal parenchymal area from ultrasoundl images using level set evolution

A probability distribution of shape for the dental maxillary arch using digital images