Accuracy of 3D cephalometric measurements based on an automatic knowledge-based landmark detection algorithm

Gupta, Abhishek and Kharbanda, O.P. and Sardana, Viren and Balachandran, Rajiv and Sardana, H.K. (2016) Accuracy of 3D cephalometric measurements based on an automatic knowledge-based landmark detection algorithm. International Journal of Computer Assisted Radiology and Surgery, 11 (7). pp. 1297-1309. ISSN 1861-6410

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Official URL: https://link.springer.com/article/10.1007/s11548-0...

Abstract

PURPOSE: To evaluate the accuracy of three-dimensional cephalometric measurements obtained through an automatic landmark detection algorithm compared to those obtained through manual identification. METHODS: The study demonstrates a comparison of 51 cephalometric measurements (28 linear, 16 angles and 7 ratios) on 30 CBCT (cone beam computed tomography) images. The analysis was performed to compare measurements based on 21 cephalometric landmarks detected automatically and those identified manually by three observers. RESULTS: Inter-observer ICC for each landmark was found to be excellent ([Formula: see text]) among three observers. The unpaired t-test revealed that there was no statistically significant difference in the measurements based on automatically detected and manually identified landmarks. The difference between the manual and automatic observation for each measurement was reported as an error. The highest mean error in the linear and angular measurements was found to be 2.63 mm ([Formula: see text] distance) and [Formula: see text] ([Formula: see text]-Me angle), respectively. The highest mean error in the group of distance ratios was 0.03 (for N-Me/N-ANS and [Formula: see text]). CONCLUSION: Cephalometric measurements computed from automatic detection of landmarks on 3D CBCT image were as accurate as those computed from manual identification.

Item Type: Article
Uncontrolled Keywords: 3D cephalometry; Automatic landmarking; Knowledge-based detection; CBCT; Cephalometric analysis
Subjects: CSIO > Computational Instrumentation
Divisions: Computational Instrumentation
Depositing User: Ms. Jyotsana
Date Deposited: 11 May 2017 18:50
Last Modified: 11 May 2017 18:50
URI: http://csioir.csio.res.in/id/eprint/626

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