title: Computer-aided detection of ischemic lesions related to subcortical vascular dementia on magnetic resonance images.
abstract: OBJECTIVE
  The purpose of this study was to develop an automated method for detection of the hyperintense ischemic lesions related to subcortical vascular dementia based on conventional magnetic resonance images (T1-weighted, T2-weighted, and fluid-attenuated inversion-recovery images [FLAIR]).
  
  
  METHODS
  Our proposed method was based on subtraction between the T1-weighted image and the FLAIR image. First, a brain region was extracted by an automated thresholding technique based on a linear discriminant analysis for a pixel value histogram. Next, for enhancement of ischemic lesions, the T1-weighted image was subtracted from the fluid-attenuated inversion-recovery image. Ischemic lesion candidates were identified using a multiple gray-level thresholding technique and a feature-based region-growing technique on the subtraction image. Finally, an artificial neural network trained with 15 image features of the ischemic candidates was used to remove false-positives. We applied our method to nine patients with vascular dementia (age range, 64-94 years, mean age, 69.4 years; four males and five females), who were scanned on a 1.5-T magnetic resonance unit.
  
  
  RESULTS
  Our method achieved a sensitivity of 90% with 4.0 false-positives per slice in detection of ischemic lesions. The overlap measure between ischemic lesion areas obtained by our method and a neuroradiologist was 60.7% on average. The ratio of ischemic lesion area to the whole brain area obtained by our method correlated with that determined by a neuroradiologist with a correlation coefficient of 0.911.
  
  
  CONCLUSIONS
  Our preliminary results suggest that the proposed method may have feasibility for evaluation of the ischemic lesion area ratio.
authors.affiliation: Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka 812-8582, Japan.
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Yamashita
authors.forename: Hidetaka
authors.initials: H
authors.lastname: Arimura
authors.forename: Kazuhiro
authors.initials: K
authors.lastname: Tsuchiya
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002545:Brain Ischemia / Q000175:diagnosis* / Q000209:etiology; D015140:Dementia, Vascular / Q000150:complications / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged