Record Details

Automatic Landmark Identification in Lateral Cephalometric Images Using Optimized Template Matching

DSpace at IIT Bombay

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Title Automatic Landmark Identification in Lateral Cephalometric Images Using Optimized Template Matching
 
Creator VASAMSETTI, S
SARDANA, V
KUMAR, P
KHARBANDA, OP
SARDANA, HK
 
Subject ACTIVE APPEARANCE MODELS
CRANIOFACIAL LANDMARKS
CEPHALOGRAMS
SYSTEM
LOCALIZATION
Automatic Landmark Detection
Cephalometric Analysis
Edge Detection
Template Matching
 
Description Cephalometric analysis has long helped researchers and orthodontic practitioners for evaluation of facial growth, understanding facial morphology and its ethnic variations, orthodontic diagnosis and treatment planning for patients presenting with malocclusion and dentofacial deformities. Mostly, inaccuracy in cephalometric measurements is a reflection of errors in identification and accurate localization of anatomical landmarks. The accuracy of landmark identification is greatly influenced by knowledge of the operator and experience. Moreover, the process of manual detection is tedious and time consuming. Therefore, a need for development of robust and accurate algorithms for automatic detection of landmarks on cephalometric images has been comprehended. In this work, we hereby propose an optimized template matching (OTM) algorithm which could automatically localize hard and soft tissue anatomical landmarks on lateral cephalometric images. This algorithm was tested for sixteen hard and eight soft tissue landmarks chosen in 12 regions on 37 lateral cephalograms obtained from subjects of either sex covering wide spectrum of malocclusion cases. The results of proposed automatic algorithm were compared to that of manual marking conducted by three experienced orthodontic specialists. All the 24 landmarks (100%) were detected within 3.0 mm error range of manual marking, 23 (96%) were detected within 2.5 mm error range and 16 (66.6%) landmarks were detected within 2.0 mm error range. The optimized template matching (OTM) algorithm may prove to be a promising approach in automatic detection of anatomical landmarks on cephalometric images.
 
Publisher AMER SCIENTIFIC PUBLISHERS
 
Date 2016-01-15T10:01:44Z
2016-01-15T10:01:44Z
2015
 
Type Article
 
Identifier JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 5(3)458-470
2156-7018
2156-7026
http://dx.doi.org/10.1166/jmihi.2015.1426
http://dspace.library.iitb.ac.in/jspui/handle/100/18318
 
Language en