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Proceedings Paper

Automatic segmentation of the orbital bone in 3D maxillofacial CT images with double-bone-segmentation network
Author(s): Soyoung Lee; Min Jin Lee; Helen Hong; Kyu Won Shim; Seongeun Park
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Paper Abstract

We propose an automatic segmentation of the orbital bone in 3D maxillofacial CT image with double-bone-segmentation network for reconstruction of the orbital bone. Due to similar intensity value with surrounding tissues and low intensity value in thin bone, there is a limitation of under-segmentation in thin bone. To improve segmentation of thin bone, we divide into cortical and thin bone and apply to single-bone-segmentation network respectively. Experimental results show that our DBS-Net results in the improved segmentation of the orbital bone, especially in thin bone of orbital medial wall and the orbital floor.

Paper Details

Date Published: 27 March 2019
PDF: 4 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110500N (27 March 2019); doi: 10.1117/12.2523714
Show Author Affiliations
Soyoung Lee, Seoul Women's Univ. (Korea, Republic of)
Min Jin Lee, Seoul Women's Univ. (Korea, Republic of)
Helen Hong, Seoul Women's Univ. (Korea, Republic of)
Kyu Won Shim, Severance Children’s Hospital (Korea, Republic of)
Seongeun Park, Severance Children’s Hospital (Korea, Republic of)


Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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