title: Extraocular muscle quantification using mathematical morphology: a semi-automatic method for analyzing muscle enlargement in orbital diseases.
abstract: 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.
authors.affiliation: Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
authors.forename: André Domingos Araújo
authors.initials: AD
authors.lastname: Souza
authors.forename: Evandro Eduardo Seron
authors.initials: EE
authors.lastname: Ruiz
authors.forename: Antonio Augusto Velasco
authors.initials: AA
authors.lastname: Cruz
mesh_terms: 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