CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke

1 code implementation • 15 Mar 2023 • Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi

CT Perfusion (CTP) is often used as a primary assessment to determine stroke location, severity, and volume of ischemic lesions.

Computed Tomography (CT)

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

1 code implementation • 2 Mar 2023 • Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer

Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for ischemic stroke, one of the prevalent diseases with the highest mortality rate.

Few-Shot Learning Ischemic Stroke Lesion Segmentation +2

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection

1 code implementation • 18 Mar 2022 • Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz

We propose an automatic method based on a neural network using a set of parametric maps to segment the two ischemic regions (core and penumbra) in patients affected by acute ischemic stroke.

CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging

1 code implementation • 7 Apr 2021 • Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz

However, there is no consensus in terms of which thresholds to use, or how to combine the information from the parametric maps, and the presented methods all have limitations in terms of both accuracy and reproducibility.