470-02-087 ISMRM Abstract

Automatic Quantification of Ischemic Core, Penumbra, and Perfusion–Diffusion Mismatch using Perfusion and Diffusion MRI

Primary: Analysis Methods - Segmentation and Detection

Secondary: Neuro - Stroke and Cerebrovascular Disorders

470-02-087 · Decoding Stroke with Imaging and AI: New Frontiers in Cerebrovascular Research · Tuesday, 12 May, 8:20 AM–9:15 AM · Traditional Posters | Exhibition Hall

Keywords: Diffusion MRI Deep Learning Segmentation Arterial Spin Labelling (ASL) Perfusion MRI Ischemic penumbra

Accepted

Anup Singh^1,2, Ankit Kandpal¹, Rakesh Kumar Gupta³

¹Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, India

²Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, India

³Department of Radiology, Fortis Memorial Research Institute, Gurugram, India

Presenting Author: Dinil Sasi Sankaralayam

Synopsis

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References

1. Zerna C, Thomalla G, Campbell BCV, Rha JH, Hill MD. Current practice and future directions in the diagnosis and acute treatment of ischaemic stroke. The Lancet. 2018;392(10154):1247-1256. doi:10.1016/S0140-6736(18)31874-9 [doi]

2. Vymazal J, Rulseh AM, Keller J, Janouskova L. Comparison of CT and MR imaging in ischemic stroke. Insights Imaging. 2012;3(6):619-627. doi:10.1007/s13244-012-0185-9 [doi]

3. Verclytte S, Fisch O, Colas L, Vanaerde O, Toledano M, Budzik JF. ASL and susceptibility-weighted imaging contribution to the management of acute ischaemic stroke. Insights Imaging.Springer Verlag. 2017;8(1):91-100. doi:10.1007/s13244-016-0529-y [doi]

4. Wang Y, Zhou Z, Ding S. FLAIR vascular hyperintensity-DWI mismatch most likely to benefit from recanalization and good outcome after stroke. Medicine (United States). 2020;99(2). doi:10.1097/MD.0000000000018665 [doi]

5. Kandpal A, Kumar P, Gupta RK, Singh A. Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients. J Comput Assist Tomogr. Published online 2025. doi:10.1097/RCT.0000000000001750 [doi]

6. Szegedy C, Vanhoucke V, Ioffe S, Shlens J, Wojna Z. Rethinking the Inception Architecture for Computer Vision. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol 2016-December. IEEE Computer Society; 2016:2818-2826. doi:10.1109/CVPR.2016.308 [doi]

7. Sudre CH, Li W, Vercauteren T, Ourselin S, Cardoso MJ. Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations. Published online July 11, 2017. doi:10.1007/978-3-319-67558-9_28 [doi]

8. Dmytriw AA, Sawlani V, Shankar J. Diffusion-Weighted Imaging of the Brain: Beyond Stroke. Canadian Association of Radiologists Journal.Canadian Medical Association. 2017;68(2):131-146. doi:10.1016/j.carj.2016.10.001 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/470-02-087