title: A new computer-assisted method for the quantification of enhancing lesions in multiple sclerosis.
abstract: OBJECTIVE
  Our goal is to describe a new computerized method for the detection and quantification of enhanced multiple sclerosis (MS) lesions.
  
  
  METHODS
  Gd-DTPA-enhanced, thin section, T1-weighted images of seven patients (involving 336 slice images) with definite MS were analyzed using a new method based on the theory of "fuzzy connected components," developed and implemented on the 3DVIEWNIX software system. Four neuroradiologists selected "true" lesions from the computer-detected potential lesions with a yes/no response to the program query on 2 different days. The enhanced lesion volume and number of enhancing lesions for each image and each observer were subsequently computed. Additional studies involving 720 slices were conducted to determine lesions that were missed by the system.
  
  
  RESULTS
  The intra- and interobserver variability in the system was 0%. It took approximately 1 min of operator time per 3D study. The system output has no false positives and a mean false-negative volume of 1.3%.
  
  
  CONCLUSIONS
  The novel system calculates enhancing lesion volume and the number of enhancing lesions with very little operator time, inter- and intraoperator variability, or false-positive and false-negative volumes. Computer-based quantification of enhancing lesion volume is an important objective measure of the activity of MS. The system is now in routine use in clinical investigations that study the role of enhancing lesions in the MS disease.
authors.affiliation: Department of Radiology, University of Pennsylvania, Philadelphia, USA.
authors.forename: S
authors.initials: S
authors.lastname: Samarasekera
authors.forename: J K
authors.initials: JK
authors.lastname: Udupa
authors.forename: Y
authors.initials: Y
authors.lastname: Miki
authors.forename: L
authors.initials: L
authors.lastname: Wei
authors.forename: R I
authors.initials: RI
authors.lastname: Grossman
mesh_terms: D001921:Brain / Q000473:pathology*; D003287:Contrast Media; D005189:False Positive Reactions; D005682:Gadolinium; D019786:Gadolinium DTPA; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009103:Multiple Sclerosis / Q000175:diagnosis*; D015588:Observer Variation; D009942:Organometallic Compounds; D004369:Pentetic Acid / Q000031:analogs & derivatives
chemical_list: D003287:Contrast Media; D009942:Organometallic Compounds; D004369:Pentetic Acid; D005682:Gadolinium; D019786:Gadolinium DTPA