Extraocular muscle quantification using mathematical morphology: A semi-automatic method for analyzing muscle enlargement in orbital diseases

被引:7
|
作者
Araujo Souza, Andre Domingos
Seron Ruiz, Evandro Eduardo
Velasco Cruz, Antonio Augusto [1 ]
机构
[1] Univ Sao Paulo, Fac Med Ribeirao Preto, Dept Oftalmol Otorrinolaringol & Cirurgia Cabeca, BR-3900 Sao Paulo, Brazil
[2] Univ Penn, Dept Radiol, Med Image Proc Grp, Philadelphia, PA 19104 USA
[3] Univ Sao Paulo, FFCLRP, Dept Fis & Matemat, BR-3900 Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
mathematical morphology; Laplacian of Gaussian; graves orbitopathy; extraocular muscles;
D O I
10.1016/j.compmedimag.2006.09.010
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Mathematical morphology was used to quantify the dimensions of the human extraocular muscles in computed tomography orbital scans. Coronal images of 28 patients with Graves orbitopathy and 5 controls (218 orbital scans) were analyzed with an algorithm for extraocular muscle segmentation. The results showed that measurements of extraocular muscle area obtained with semi-automatic segmentation are highly correlated with manual tracing and provides a simple method to quantify orbital structures including the extraocular muscles. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:39 / 45
页数:7
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