Online Neurology Days | Day 2 - August 25, 2021 19:00 (CET) / 13:00 (EST)

Stroke Diagnostics | CT/MRI

Globally, stroke is a leading cause of mortality and disability with the World Stroke Organisation reporting an annual mortality rate of 5 and a half million people. Additionally, up to 50% of survivors have chronic disability posing a major public health problem and substantial economic burden.
Imaging has been the backbone of the acute stroke treatment revolution that has brought thrombectomy to an ever-increasing number of eligible patients. Join our panel of experts to discuss how guideline updates and revised recommendations translate into clinical practice. Learn about the diagnostic strategies that can be applied using both baseline and state-of-the-art imaging.


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  • Imaging for acute stroke, the basics of acquisition and interpretation – Dr. Grant Mair
  • State-of-the-art brain CT perfusion in acute ischemic stroke – Dr. Anton Meijer
  • Diffusion tensor imaging as a biomarker for stroke patients – Dr. Josep Puig
  • Live Q&A

Why should you attend?
  1. Learn how baseline CT and MR imaging features might affect treatment options after stroke.
  2. See benefits of a wide CT detector and Bayesian brain CT perfusion.
  3. Understand the relevance of DTI as an early predictor of motor outcome in stroke patients.


Speaker: Dr. Grant Mair, MB, ChB, MD
Senior Clinical Lecturer in Neuroradiology
The University of Edinburgh · Centre for Clinical Brain Sciences
Edinburgh, UK

Dr. Mair is a Neuroradiologist and a Senior Clinical Lecturer at the University of Edinburgh with primary research interest in stroke imaging. He is investigating computational methods related to stroke severity assessment and response to treatment with both CT and MR imaging. He is a Fellow of the Royal College of Radiologists and a member of the British, the Scottish and the European Society of Neuroradiologists.

Presentation title: Imaging for acute stroke, the basics of acquisition and interpretation

For patients presenting to hospital acutely with symptoms of stroke, we must acquire brain imaging rapidly. Thus, we can determine the stroke type, exclude other diagnoses, and assess eligibility for treatment. This webinar will cover the minimum requirements for stroke imaging using CT or MRI. We will review common imaging features in stroke and consider the implications of these findings for treatment decision-making.

Speaker: Dr. Anton Meijer, MD, PhD
Radboud University Medical Center
Nijmegen, the Netherlands

Since 2010 Dr. Anton Meijer is a radiologist at the Department of Radiology of Radboud University Nijmegen Medical Centre, with specialization in neuro-, head and neck and emergency radiology. He participates in clinical and research projects in imaging in neurovascular and neurodegenerative diseases.

Presentation title: State-of-the-art brain CT perfusion in acute ischemic stroke

Recent and future developments of brain CT perfusion will be addressed, focused on clinical application in acute ischemic stroke. The advantages of a wide-detector CT and the Bayesian method will be illustrated. In addition, advanced scanning protocols will be discussed.

Speaker: Dr. Josep Puig, MD, PhD
Research Associate, Lecturer
University Hospital Dr. Josep Trueta (IDI) and Center of Comparative Medicine and Bio-imaging of Catalonia (CMCiB)
Girona and Badalona, Spain

Josep Puig, MD, PhD has trained extensively in Catalonia Spain and Canada and is an expert in the field of bioimaging. His research has focused on the development and clinical application of standard and advanced neuroimaging techniques (with a special emphasis on MRI techniques based on cerebral diffusion/perfusion and structural/functional brain connectivity as well) applied to stroke, brain tumors, obesity, atherosclerosis, aging, multiple sclerosis and intervertebral disc disease. He focusses on the use advanced imaging techniques to develop associative or predictive imaging biomarkers in order to understand the clinical condition of individual patients and the clinical course of disease. He has published over 150 articles and maintains extensive scientific collaborations in the USA, Canada, Great Britain, Australia and Germany, amongst others.

Presentation title: Diffusion tensor imaging as a biomarker for stroke patients

We will review the technical fundamentals of DTI sequence and its role in predicting clinical recovery after stroke, with special interest on motor function, in monitoring treatment response, and in evaluating WM remodeling. We will critically appraise DTI studies and discuss their limitations, and we will explore directions for future study. Three main strategies to quantify stroke-related WM damage have been proposed: measuring fractional anisotropy distal to the stroke area, measuring the number of fibers that go through the stroke with tractography, and measuring the overlap between the stroke and a DTI map derived from healthy age- and gender-matched controls.

Scientific Evidence Stroke Diagnostics, Day 2

Download scientific evidence on neurological solutions using Canon technologies here.

Becks et al. | Brain CT Perfusion Improves Intracranial Vessel Occlusion Detection on CT Angiography | Journal of Neuroradiology (2018)

Bruce et al | Imaging selection for acute stroke intervention | International Journal of Stroke (2018)

de Jong et al. | On the spot”: the use of 4D-CTA to differentiate a true “spot sign” from a distal intracranial aneurysm | World Neurosurgery (2017)

Bo et al. | The value of whole-brain CT perfusion imaging and CT angiography using a 320-slice CT scanner in the diagnosis of MCI and AD patients | European Radiology (2017)

Oei et al. | Interleaving cerebral CT perfusion with neck CT angiography. Part II: clinical implementation and image quality | European Radiology (2017)

van den Wijngaard et al. | Assessment of Collateral Status by Dynamic CT Angiography in Acute MCA Stroke: Timing of Acquisition and Relationship with Final Infarct Volume | AJNR (2016)

Snyder et al. | Neurologic applications of whole-brain volumetric multidetector computed tomography | Neurologic Clinics (2014)

Mehta et al. | Whole brain CT perfusion deficits using 320-detector-row CT scanner in TIA patients are associated with ABCD2 score | The International Journal of Neuroscience (2013)

Hanson et al. | Assessment of the Tracer Delay Effect in Whole-Brain Computed Tomography Perfusion: Results in Patients Without Known Neuroanatomic Abnormalities | Journal of Computer Assisted Tomography (2013)

Hochberg et al. | Cerebral Perfusion Imaging | Seminars in Neurology (2012)

Shankar et al. | Whole brain CT perfusion on a 320-slice CT scanner | Indian Journal of Radiology Imaging (2011)

Dababneh et al. | Mean transit time on Aquilion ONE and its utilization in patients undergoing acute stroke intervention | Journal of Neurology and Neurophysiology (2011)

Roach et al. | Appearance and impact of post-operative intracranial clips and coils on whole-brain CT angiography and perfusion | European Journal of Radiology (2011)

Page et al. | Comparison of 4 cm Z-axis and 16 cm Z-axis multidetector CT perfusion | European Radiology (2010)
Healthcare IT
Nael et al. | Defining Ischemic Core in Acute Ischemic Stroke Using CT Perfusion: A Multiparametric Bayesian-Based Model | AJNR (2019)

Sakai et al. | Estimation of Ischemic Core Volume Using Computed Tomographic Perfusion | Stroke (2018)

Uwano et al. | Tmax Determined Using a Bayesian Estimation Deconvolution Algorithm Applied to Bolus Tracking Perfusion Imaging: A Digital Phantom Validation Study | Magnetic Resonance in Medicine Sciences (2017)

Kudo et al. | Bayesian analysis of perfusion-weighted imaging to predict infarct volume: comparison with singular value decomposition | Magnetic Resonance in Medical Sciences (2014)

Sasaki et al. | Assessment of the accuracy of a Bayesian estimation algorithm for perfusion CT by using a digital phantom | Neuroradiology (2013)

Boutelier et al. | Bayesian Hemodynamic Parameter Estimation by Bolus Tracking Perfusion Weighted Imaging IEEE Transactions on Medical Imaging (2012)
Kidoh et al. | Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers | Magnetic Resonance in Medicine Sciences (2020)

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