title: Assessment of the volume of intraorbital structures using the numerical segmentation image technique (NSI): the extraocular muscles.
abstract: BACKGROUND
  In recent years the use of computer systems has allowed numerical analysis of medical images to be introduced and has speeded up the conversion of numerical data into clinically valuable information. The creation of a software application that could almost automatically calculate the volume of anatomical structures imaged by MRI has seemed possible. The aim of our study was to determine the clinical usefulness of an numerical segmentation image technique (NSI) software application in estimating the volume of extraocular muscles.
  
  
  METHODS
  The study group was formed of 45 patients (90 orbits). All the patients underwent MRI examinations of the orbits by a 1.5 T scanner using a head coil. The degree of exophthalmos was determined clinically and radiologically in relation to the interzygomatic line. The quantitative assessment of all eye muscles was carried out using the NSI application, a new software program introduced by the authors.
  
  
  RESULTS
  A close correlation between muscle volume and the degree of exophthalmos was revealed and confirmed by statistical analysis (r = 0.543, p = 3.13396E-08) in agreement with other papers.
  
  
  CONCLUSIONS
  The NSI software program is an application which offers a reliable and precise estimation of eye muscle volume. It is therefore useful in the diagnosis of the pathological processes leading to exophthalmos. It has special clinical value for monitoring discrete volume changes of muscles during treatment.
authors.affiliation: Department of Radiology, Medical University of Łódź, Łódź. egnys@poczta.onet.pl
authors.forename: Agata
authors.initials: A
authors.lastname: Majos
authors.forename: Piotr
authors.initials: P
authors.lastname: Grzelak
authors.forename: Wojciech
authors.initials: W
authors.lastname: Młynarczyk
authors.forename: Ludomir
authors.initials: L
authors.lastname: Stefańczyk
mesh_terms: D000328:Adult; D000368:Aged; D005094:Exophthalmos / Q000175:diagnosis; D005260:Female; D006111:Graves Disease / Q000175:diagnosis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009716:Numerical Analysis, Computer-Assisted / Q000295:instrumentation*; D009801:Oculomotor Muscles / Q000033:anatomy & histology* / Q000473:pathology; D009915:Orbit / Q000033:anatomy & histology* / Q000473:pathology; D009929:Organ Size; D012984:Software