Publication Type : Journal Article
Publisher : International Journal of Computational and Theoretical Nanoscience
Source : International Journal of Computational and Theoretical Nanoscience , 2018.
Keywords : Computed Tomography; Craniofacial Image Analysis; Mandible Segmentation; Orthognathic Surgery; Segmentation
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : Three-dimensional 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. This paper focuses on segmentation of mandible bone using active contour segmentation of Insight Segmentation and Registration Toolkit library. The results are given as 3D stereo lithographic image. The result is compared with the ground truth image segmented by an expert radiologist. Various evaluation metrics are used for finding the segmentation accuracy and the result has given segmentation accuracy of 97.50%. Therefore, this method can be used as an initial step in automatic cephalometric land marking, an important task in virtual surgical planning for orthognathic surgery.
Cite this Research Publication : J. V. and Dr. Tripty Singh, “Segmentation and 3D Visualization of mandible using Active Contour and Visualization Toolkit in Craniofacial CT Images”, International Journal of Computational and Theoretical Nanoscience , 2018.