NDLI: Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images

Content Provider	PubMed Central
Author	Kang, Ho Chul Choi, Chankyu Shin, Juneseuk Lee, Jeongjin Shin, Yeong-gil
Copyright Year	2015
Abstract	DIn this paper, we propose a fast and accurate semiautomatic method to effectively distinguish individual teeth from the sockets of teeth in dental CT images. Parameter values of thresholding and shapes of the teeth are propagated to the neighboring slice, based on the separated teeth from reference images. After the propagation of threshold values and shapes of the teeth, the histogram of the current slice was analyzed. The individual teeth are automatically separated and segmented by using seeded region growing. Then, the newly generated separation information is iteratively propagated to the neighboring slice. Our method was validated by ten sets of dental CT scans, and the results were compared with the manually segmented result and conventional methods. The average error of absolute value of volume measurement was 2.29 ± 0.56%, which was more accurate than conventional methods. Boosting up the speed with the multicore processors was shown to be 2.4 times faster than a single core processor. The proposed method identified the individual teeth accurately, demonstrating that it can give dentists substantial assistance during dental surgery.
Related Links	http://dx.doi.org/10.1155/2015/810796
Starting Page	810796
File Format	PDF
ISSN	1748670X
e-ISSN	17486718
Journal	Computational and Mathematical Methods in Medicine
Volume Number	2015
Language	English
Publisher	Hindawi Publishing Corporation
Publisher Date	2015-01-01
Access Restriction	Open
Rights Holder	Hindawi Publishing Corporation
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Modelling and Simulation Immunology and Microbiology(all) Applied Mathematics Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Immunology and Microbiology Medicine Biochemistry, Genetics and Molecular Biology Modeling and Simulation

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

Fast and Automatic Ultrasound Simulation from CT Images

Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts

Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model

A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images

Semiautomatic Segmentation of Ventilated Airspaces in Healthy and Asthmatic Subjects Using Hyperpolarized 3He MRI

Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP

Segmentation and Morphometric Analysis of Cells from Fluorescence Microscopy Images of Cytoskeletons

Ant Colony Optimization Approaches to Clustering of Lung Nodules from CT Images

A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans

Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images

Similar Documents

Fast and Automatic Ultrasound Simulation from CT Images

Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts

Automatic Lung Tumor Segmentation on PET/CT Images Using Fuzzy Markov Random Field Model

A Semiautomatic Segmentation Algorithm for Extracting the Complete Structure of Acini from Synchrotron Micro-CT Images

Semiautomatic Segmentation of Ventilated Airspaces in Healthy and Asthmatic Subjects Using Hyperpolarized 3He MRI

Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP

Segmentation and Morphometric Analysis of Cells from Fluorescence Microscopy Images of Cytoskeletons

Ant Colony Optimization Approaches to Clustering of Lung Nodules from CT Images

A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans

Fast and Accurate Semiautomatic Segmentation of Individual Teeth from Dental CT Images