Detection of the mandibular canal in orthopantomography using a Gabor-filtered anisotropic generalized Hough transform

被引：3

作者：

Onchis-Moaca, Darian ^{[1
,2
]}

Zappala, Simone ^{[1
]}

Gotia, Smaranda Laura ^{[3
]}

Real, Pedro ^{[4
]}

Pricop, Marius ^{[5
]}

机构：

[1] Univ Vienna, Fac Math, Oskar Morgenstern Pl 1, Vienna, Austria

[2] Eftimie Murgu Univ Resita, Dept Elect Engn & Informat, Traian Vuia Sq 1-4, Resita, Romania

[3] Victor Babes Univ Med & Pharm, Dept Physiol, Eftimie Murgu St 2, Timisoara, Romania

[4] Univ Seville, Dept Appl Math 1, Av Reina Mercedes, Seville, Spain

[5] Victor Babes Univ Med & Pharm, Dept Maxillofacial Surg, Eftimie Murgu St 2, Timisoara, Romania

来源：

PATTERN RECOGNITION LETTERS | 2016年 / 83卷

基金：

奥地利科学基金会;

关键词：

Generalized Hough transform; Gabor transform; Mandibular canal; 3RD MOLAR; TOMOGRAPHY; ACCURACY;

D O I：

10.1016/j.patrec.2015.12.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we explore the possibility of applying the anisotropic generalized Hough transform (AGHT) enhanced with a Gabor based time-frequency filtering (GTF) for the determination of the mandibular canal in digital dental panoramic radiographs. The proposed method is based on template matching using the fact that the shape of the mandibular canal is usually the same, followed by a filtering of the accumulator space in the Gabor domain for a precise detection of the position. The proposed procedure consists of a detailed description of the shape of the canal in its canonical form and on preserving Gabor filtering information for sorting the hierarchy of location candidates after applying anisotropically the extraction algorithm. The experimental results show that the proposed procedure is robust to recognition under occlusion and under the presence of additional structures e.g. teeth, projection errors. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：85 / 90

页数：6