A medial point cloud based algorithm for dental cast segmentation

J. Kustra; M.K.J. Jager, de; A.C. Jalba; A.C. Telea

doi:10.1109/ICCE.2014.6776028

A medial point cloud based algorithm for dental cast segmentation

J. Kustra, M.K.J. Jager, de, A.C. Jalba, A.C. Telea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.

Original language	English
Title of host publication	IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	331-334
ISBN (Print)	978-1-4799-1290-2
DOIs	https://doi.org/10.1109/ICCE.2014.6776028
Publication status	Published - 2014
Event	2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, United States Duration: 10 Jan 2014 → 13 Jan 2014

Conference

Conference	2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Abbreviated title	ICCE 2014
Country/Territory	United States
City	Las Vegas
Period	10/01/14 → 13/01/14

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10.1109/ICCE.2014.6776028

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title = "A medial point cloud based algorithm for dental cast segmentation",

abstract = "Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.",

author = "J. Kustra and {Jager, de}, M.K.J. and A.C. Jalba and A.C. Telea",

year = "2014",

doi = "10.1109/ICCE.2014.6776028",

language = "English",

isbn = "978-1-4799-1290-2",

pages = "331--334",

booktitle = "IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014, ICCE 2014 ; Conference date: 10-01-2014 Through 13-01-2014",

}

Kustra, J, Jager, de, MKJ, Jalba, AC & Telea, AC 2014, A medial point cloud based algorithm for dental cast segmentation. in IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014). Institute of Electrical and Electronics Engineers, Piscataway, pp. 331-334, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, Nevada, United States, 10/01/14. https://doi.org/10.1109/ICCE.2014.6776028

A medial point cloud based algorithm for dental cast segmentation. / Kustra, J.; Jager, de, M.K.J.; Jalba, A.C.; Telea, A.C.

IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014). Piscataway : Institute of Electrical and Electronics Engineers, 2014. p. 331-334.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A medial point cloud based algorithm for dental cast segmentation

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AU - Jager, de, M.K.J.

AU - Jalba, A.C.

AU - Telea, A.C.

PY - 2014

Y1 - 2014

N2 - Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.

AB - Although the detailed oral anatomy can be acquired using techniques such as Computer Tomography, the development of mass consumer products is dependent of non-invasive, safe acquisition techniques such as the bite imprint, commonly used in orthodontic treatments. However, bite imprints provide only limited details of the global teeth and gum shapes, and therefore understanding both shape's local and global properties is important. In this paper we present a method, based on so-called medial point clouds, for the automatic segmentation of dental surfaces (such as dental cast scans). Our method is targeted at applications in consumer oral healthcare devices.

U2 - 10.1109/ICCE.2014.6776028

DO - 10.1109/ICCE.2014.6776028

M3 - Conference contribution

SN - 978-1-4799-1290-2

SP - 331

EP - 334

BT - IEEE International Conference on Consumer Electronics (ICCE, Las Vegas NV, USA, January 10-13, 2014)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014

Y2 - 10 January 2014 through 13 January 2014

ER -

A medial point cloud based algorithm for dental cast segmentation

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