Using image analysis techniques to analyze figure-copying performance of patients with visuospatial neglect and control groups.
Figure copying is often used to detect visuospatial neglect (VSN) in brain-damaged patients. We describe algorithms that enable the computation of parameters for describing figure-copying performance. The researcher can readily implement these algorithms on a computer using image analysis software, and they provide information on goodness-of-fit, relative to a standard model, as well as on dynamic aspects of subjects' performance in completing figure copies. To demonstrate the clinical utility of these algorithms, preliminary results from a group of right-hemisphere brain-damaged patients, some of whom have VSN, are compared with those for age-matched controls.
Guest
Richard
R
University of Kent, Canterbury, England.
Donnelly
Nick
N
Fairhurst
Michael
M
Potter
Jonathan
J
D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001925:Brain Damage, Chronic / Q000503:physiopathology / Q000523:psychology*; D005260:Female; D007839:Functional Laterality; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D010364:Pattern Recognition, Visual / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology*; D012984:Software; D013028:Space Perception / Q000502:physiology*; D014584:User-Computer Interface; D014796:Visual Perception / Q000502:physiology*