Extraocular muscle quantification using mathematical morphology: a semi-automatic method for analyzing muscle enlargement in orbital diseases.
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.
Souza
André Domingos Araújo
AD
Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Ruiz
Evandro Eduardo Seron
EE
Cruz
Antonio Augusto Velasco
AA
D000465:Algorithms; D001938:Brazil; D049970:Graves Ophthalmopathy; D006801:Humans; D009801:Oculomotor Muscles / Q000000981:diagnostic imaging / Q000254:growth & development*; D009916:Orbital Diseases / Q000000981:diagnostic imaging / Q000503:physiopathology*; D014057:Tomography, X-Ray Computed