Precision of landmark identification using scanned cephalometric image

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 dataset were measured by the angle SNA, SNB and ArSN. 3D DOCTOR software is used for the landmark identificati...

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Main Authors: Md. Lani, Ruzaini, Setan, Halim, Majid, Zulkepli, Chong, A. K.
Format: Conference or Workshop Item
Language:en
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/1331/1/Paper060ruzaini.pdf
http://eprints.utm.my/1331/
http://www.civil.eng.usm.my/isg2005/home.shtml
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author Md. Lani, Ruzaini
Setan, Halim
Majid, Zulkepli
Chong, A. K.
author_facet Md. Lani, Ruzaini
Setan, Halim
Majid, Zulkepli
Chong, A. K.
author_sort Md. Lani, Ruzaini
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description 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 dataset 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.
format Conference or Workshop Item
id my.utm.eprints-1331
institution Universiti Teknologi Malaysia
language en
publishDate 2005
record_format eprints
spelling my.utm.eprints-13312017-08-28T04:03:07Z http://eprints.utm.my/1331/ Precision of landmark identification using scanned cephalometric image Md. Lani, Ruzaini Setan, Halim Majid, Zulkepli Chong, A. K. TA Engineering (General). Civil engineering (General) 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 dataset 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. 2005-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1331/1/Paper060ruzaini.pdf Md. Lani, Ruzaini and Setan, Halim and Majid, Zulkepli and Chong, A. K. (2005) Precision of landmark identification using scanned cephalometric image. In: International Symposium & Exhibition on Geoinformation 2005 Geospatial Solutions for Managing the Borderless World,, 27 - 29 September 2005, Pulau Pinang. http://www.civil.eng.usm.my/isg2005/home.shtml
spellingShingle TA Engineering (General). Civil engineering (General)
Md. Lani, Ruzaini
Setan, Halim
Majid, Zulkepli
Chong, A. K.
Precision of landmark identification using scanned cephalometric image
title Precision of landmark identification using scanned cephalometric image
title_full Precision of landmark identification using scanned cephalometric image
title_fullStr Precision of landmark identification using scanned cephalometric image
title_full_unstemmed Precision of landmark identification using scanned cephalometric image
title_short Precision of landmark identification using scanned cephalometric image
title_sort precision of landmark identification using scanned cephalometric image
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/1331/1/Paper060ruzaini.pdf
http://eprints.utm.my/1331/
http://www.civil.eng.usm.my/isg2005/home.shtml
url_provider http://eprints.utm.my/