Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69750-4.pdf
Reference32 articles.
1. Wu, F. et al. Differential features of culprit intracranial atherosclerotic lesions: A whole-brain vessel wall imaging study in patients with acute ischemic stroke. J. Am. Heart Assoc. 7, 1 (2018).
2. Song, J. W. et al. MR intracranial vessel wall imaging: A systematic review. J. Neuroimag. 30, 428–442 (2020).
3. Song, J. W. et al. Vessel wall magnetic resonance imaging biomarkers of symptomatic intracranial atherosclerosis: A meta-analysis. Stroke 52, 193–202 (2021).
4. Zhu, C. et al. Clinical significance of intraplaque hemorrhage in low- and high-grade basilar artery stenosis on high-resolution MRI. AJNR Am. J. Neuroradiol. 39, 1286–1292 (2018).
5. Lindenholz, A., van der Kolk, A. G., Zwanenburg, J. J. M. & Hendrikse, J. The use and pitfalls of intracranial vessel wall imaging: How we do it. Radiology 286, 12–28 (2018).
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