Comparison of stroke infarction between CT perfusion and diffusion weighted imaging: preliminary results

Ashrani Aizzuddin Abd. Rahni; Israna Hossain Arka; Kalaivani Chellappan; Shahizon Azura Mukari; Zhe Kang Law; Ramesh Sahathevan

doi:10.1117/12.2218313

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29 March 2016 Comparison of stroke infarction between CT perfusion and diffusion weighted imaging: preliminary results

Ashrani Aizzuddin Abd. Rahni, Israna Hossain Arka, Kalaivani Chellappan, Shahizon Azura Mukari, Zhe Kang Law, Ramesh Sahathevan

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Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 978824 (2016) https://doi.org/10.1117/12.2218313
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

In this paper we present preliminary results of comparison of automatic segmentations of the infarct core, between that obtained from CT perfusion (based on time to peak parameter) and diffusion weighted imaging (DWI). For each patient, the two imaging volumes were automatically co-registered to a common frame of reference based on an acquired CT angiography image. The accuracy of image registration is measured by the overlap of the segmented brain from both images (CT perfusion and DWI), measured within their common field of view. Due to the limitations of the study, DWI was acquired as a follow up scan up to a week after initial CT based imaging. However, we found significant overlap of the segmented brain (Jaccard indices of approximately 0.8) and the percentage of infarcted brain tissue from the two modalities were still fairly highly correlated (correlation coefficient of approximately 0.9). The results are promising with more data needed in future for clinical inference.

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Ashrani Aizzuddin Abd. Rahni, Israna Hossain Arka, Kalaivani Chellappan, Shahizon Azura Mukari, Zhe Kang Law, and Ramesh Sahathevan "Comparison of stroke infarction between CT perfusion and diffusion weighted imaging: preliminary results", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 978824 (29 March 2016); https://doi.org/10.1117/12.2218313

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