A supervised method for calculating perfusion/diffusion mismatch volume in acute ischemic stroke.
Diffusion and perfusion (MR) imaging modalities identify overlapping but not identical areas of tissue as lesion following a stroke. It is thought that the 'mismatch' between modalities may represent tissue that could be recovered with proper (thrombolytic) treatment. We have designed a tool for semi-automated segmentation of the images and calculation of the mismatch volume. We present results from software phantoms and clinical data. Phantom results show our mismatch volume calculations are unbiased at realistic noise levels. Clinical data show that raters using our tool are consistent, fast (15min per subject) and indistinguishable from an expert using manual segmentation.
James
Judy R
JR
Department of Biomedical Engineering, Indiana University-Purdue University, (IUPUI) Indianapolis, IN, USA.
Yoder
Karmen K
KK
Osuntokun
Olaniyi
O
Kalnin
Andrew
A
Bruno
Askiel
A
Morris
Evan D
ED
D000328:Adult; D000368:Aged; D016477:Artifacts; D001921:Brain / Q000098:blood supply*; D002544:Cerebral Infarction / Q000188:drug therapy / Q000503:physiopathology*; D038524:Diffusion Magnetic Resonance Imaging; D005103:Expert Systems; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D018810:Magnetic Resonance Angiography; D008297:Male; D008432:Mathematical Computing; D008875:Middle Aged; D019047:Phantoms, Imaging; D011379:Prognosis; D012039:Regional Blood Flow / Q000502:physiology*; D012984:Software; D015912:Thrombolytic Therapy