Precision of landmark identification using scanned cephalometric image
Paper
Paper/Presentation Title | Precision of landmark identification using scanned cephalometric image |
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Presentation Type | Paper |
Authors | Lani, Ruzaini Md (Author), Setan, Halim (Author), Majid, Zulkepli (Author) and Chong, Albert K. (Author) |
Journal or Proceedings Title | Proceedings of the International Symposium & Exhibition on Geoinformation 2005 (ISG 2005): Geospatial Solutions for Managing the Borderless World |
Number of Pages | 8 |
Year | 2006 |
Place of Publication | Pulau Pinang, Malaysia |
Web Address (URL) of Paper | http://www.civil.eng.usm.my/isg2005/ProgISG2005final.pdf |
Conference/Event | International Symposium & Exhibition on Geoinformation 2005 (ISG 2005): Geospatial Solutions for Managing the Borderless World |
Event Details | International Symposium & Exhibition on Geoinformation 2005 (ISG 2005): Geospatial Solutions for Managing the Borderless World Event Date 27 to end of 29 Sep 2005 Event Location Penang, Malaysia |
Abstract | This research is focused on the precision of landmark identification using scanned cephalometric images. A sample image was used to generate 5 sets of data for landmark identification. All 5 datasets were measured by the angle SNA, SNB and ArSN. 3D DOCTOR software is used for the landmark identification and the angle measurement. For each set, the angle was measured five (5) times to get the average value. The values are used to create a graph (to show the precision for the angle measurement) and also to calculate the mean and standard deviation using SPSS. The results were consistent and satisfactory. |
Keywords | landmark identification; cephalometric images |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
400305. Biomedical instrumentation | |
Public Notes | There are no files associated with this item. |
Byline Affiliations | University of Technology Malaysia, Malaysia |
University of Otago, New Zealand |
https://research.usq.edu.au/item/9zqq8/precision-of-landmark-identification-using-scanned-cephalometric-image
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