Optimising MR perfusion imaging: comparison of different software-based approaches in acute ischaemic stroke

Schaafs, L.-A., Porter, D., Audebert, H. J., Fiebach, J. B. and Villringer, K. (2016) Optimising MR perfusion imaging: comparison of different software-based approaches in acute ischaemic stroke. European Radiology, 26(11), pp. 4204-4212. (doi: 10.1007/s00330-016-4244-3) (PMID:26852218)

Abstract

Objectives: 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.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Porter, Professor David
• Authors: Schaafs, L.-A., Porter, D., Audebert, H. J., Fiebach, J. B., and Villringer, K.
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Journal Name: European Radiology
• Publisher: Springer
• ISSN: 0938-7994
• ISSN (Online): 1432-1084
• Published Online: 06 February 2016