Review on Segmentation of Facial Bone Surface from Craniofacial CT Images

Title

Review on Segmentation of Facial Bone Surface from Craniofacial CT Images

Creator

Varghese J.; Saleema J.S.

Description

Three-dimensional (3D) representation of facial bone surface is needed in the virtual surgical planning for orthognathic surgery. Segmentation of facial bone surface from computed tomography images is first step in developing the 3D model. With the advent in the computer vision techniques, various automatic and semi-segmentation algorithms were developed in the recent years for segmentation of facial bone surface from craniofacial computed tomography images. In the proposed paper, the various segmentation techniques for extracting bone surface from 3D CT images for corrective jaw surgery available in the literature have been discussed. By reviewing all the methods available in the literature, it is found that each method has its own merits and demerits. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes on Data Engineering and Communications Technologies, Vol-117, pp. 717-738.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Computed tomography; Craniofacial image analysis; Deep learning; Machine learning; Mandible segmentation; Orthognathic surgery; Segmentation

Coverage

Varghese J., Department of Computer Science, Christ Deemed To Be University, Karnataka, Bangalore, India, Christ Academy Institute for Advanced Studies, Karnataka, Bangalore, India; Saleema J.S., Department of Computer Science, Christ Deemed To Be University, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23674512

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-19-0898-9_55

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130932984&doi=10.1007%2f978-981-19-0898-9_55&partnerID=40&md5=baa31e009c045246042938654fcbb506