⌘+K

Pulse Explore Clubs Researchers Journals

Home Clubs Explore

August 6, 2024NeuroImageOpen Access

Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks

Felix Lohrke Vince I. Madai Tabea Kossen Orhun Utku Aydin Jonas Behland Adam Hilbert Matthias A. Mutke Martin Bendszus Jan Sobesky Dietmar Frey

View Full Paper

Ask AI

Bookmark

Share

Abstract

To generate perfusion parameter maps from Time-of-flight magnetic resonance angiography (TOF-MRA) images using artificial intelligence to provide an alternative to traditional perfusion imaging techniques.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Lohrke et al. (2024) studied this question.

synapsesocial.com/papers/68e5d467b6db64358756a116 https://doi.org/10.1016/j.neuroimage.2024.120770

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Generating Synthetic MR Perfusion Maps From DWI and FLAIR in Acute Ischemic Stroke: Development and External Validation of a Deep Learning ModelRandomized Controlled Trial · 2026
2Generative Artificial Intelligence to Automate Cerebral Perfusion Mapping in Acute Ischemic Stroke from Non-contrast Head Computed Tomography Images: Pilot Study.2025
3Synthesizing 4D Magnetic Resonance Angiography From 3D Time-of-Flight Using Deep Learning: A Feasibility Study2024 · 1 citations
4Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study2024
5Utilizing High Performance Gradients to Image Human Brain Arterial Vasculature with High Resolution 7T Time-of-flight MR Angiography2024