title: Optimising MR perfusion imaging: comparison of different software-based approaches in acute ischaemic stroke.
abstract: OBJECTIVE
  Perfusion imaging (PI) is susceptible to confounding factors such as motion artefacts as well as delay and dispersion (D/D). We evaluate the influence of different post-processing algorithms on hypoperfusion assessment in PI analysis software packages to improve the clinical accuracy of stroke PI.
  
  
  METHODS
  Fifty patients with acute ischaemic stroke underwent MRI imaging in the first 24 h after onset. Diverging approaches to motion and D/D correction were applied. The calculated MTT and CBF perfusion maps were assessed by volumetry of lesions and tested for agreement with a standard approach and with the final lesion volume (FLV) on day 6 in patients with persisting vessel occlusion.
  
  
  RESULTS
  MTT map lesion volumes were significantly smaller throughout the software packages with correction of motion and D/D when compared to the commonly used approach with no correction (p = 0.001-0.022). Volumes on CBF maps did not differ significantly (p = 0.207-0.925). All packages with advanced post-processing algorithms showed a high level of agreement with FLV (ICC = 0.704-0.879).
  
  
  CONCLUSIONS
  Correction of D/D had a significant influence on estimated lesion volumes and leads to significantly smaller lesion volumes on MTT maps. This may improve patient selection.
  
  
  CONCLUSIONS
  • Assessment on hypoperfusion using advanced post-processing with correction for motion and D/D. • CBF appears to be more robust regarding differences in post-processing. • Tissue at risk is estimated more accurately by correcting software algorithms. • Advanced post-processing algorithms show a higher agreement with the final lesion volume.
authors: Department of Radiology, Charité-Universitätsmedizin, Hindenburgdamm 30, 12203, Berlin, Germany. lars-arne.schaafs@charite.de.|Academic Neuroradiology, Department of Neurology and Center for Stroke Research, Charité-Universitätsmedizin, Berlin, Germany. lars-arne.schaafs@charite.de.
authors: Lars-Arne
authors: http://orcid.org/0000-0002-2250-5419
authors: LA
authors: Schaafs
authors: Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany.
authors: David
authors: D
authors: Porter
authors: Department of Neurology with Experimental Neurology, Charité-Universitätsmedizin, Berlin, Germany.
authors: Heinrich J
authors: HJ
authors: Audebert
authors: Academic Neuroradiology, Department of Neurology and Center for Stroke Research, Charité-Universitätsmedizin, Berlin, Germany.
authors: Jochen B
authors: JB
authors: Fiebach
authors: Academic Neuroradiology, Department of Neurology and Center for Stroke Research, Charité-Universitätsmedizin, Berlin, Germany.
authors: Kersten
authors: K
authors: Villringer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002560:Cerebrovascular Circulation / Q000502:physiology; D005260:Female; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000379:methods; D008297:Male; D008875:Middle Aged; D055420:Perfusion Imaging / Q000379:methods; D012984:Software; D020521:Stroke / Q000473:pathology* / Q000503:physiopathology
keywords: Image processing; MRI; Perfusion; Software; Stroke