561-04-002 ISMRM Abstract

Hybrid 3D CNN-Transformer for Accelerated and Robust Cerebral Blood Volume (CBV) Reconstruction from PWI-MRI

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Analysis Methods - Classification and Prediction

561-04-002 · Deep Learning Meets k-Space: New Frontiers in Reconstruction · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row B

Keywords: Deep learning reconstruction AI-Accelerated Cerebral blood volume Perfusion-Weighted Imaging

Accepted

Akito Yamauchi¹, Zongyu Li ^2,3, Zhonghui Qie⁴, Jia Guo^2,5

¹Columbia University, New York, United States of America

²Biomedical Engineering, Columbia University, New York, United States of America

³Department of Biomedical Engineering, Columbia University, New York, United States of America

⁴Zuckerman Institute, Columbia University, New York, United States of America

⁵Psychiatry, Columbia University, New York, United States of America

Presenting Author: Zongyu Li

Synopsis

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References

1. Derdeyn, Colin P., et al. "Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited." Brain 125.3 (2002): 595-607. DOI: https://doi.org/10.1093/brain/awf047 [doi]

2. Röther, Joachim, et al. "Assessment of regional cerebral blood volume in acute human stroke by use of single-slice dynamic susceptibility contrast-enhanced magnetic resonance imaging." Stroke 27.6 (1996): 1088-1093. DOI: https://doi.org/10.1161/01.STR.27.6.1088 [doi]

3. Alsop, David C., John A. Detre, and Murray Grossman. "Assessment of cerebral blood flow in Alzheimer's disease by spin‐labeled magnetic resonance imaging." Annals of neurology 47.1 (2000): 93-100. DOI: https://doi.org/10.1002/1531-8249(200001)47:1%3C93::AID-ANA15%3E3.0.CO;2-8 [doi]

4. Bozzao, Alessandro, et al. "Diffusion and perfusion MR imaging in cases of Alzheimer's disease: correlations with cortical atrophy and lesion load." American Journal of Neuroradiology 22.6 (2001): 1030-1036.

5. Lieberman, J. A., et al. "Hippocampal dysfunction in the pathophysiology of schizophrenia: a selective review and hypothesis for early detection and intervention." Molecular psychiatry 23.8 (2018): 1764-1772. DOI: https://doi.org/10.1038/mp.2017.249 [doi]

6. Talati, Pratik, et al. "Increased hippocampal blood volume and normal blood flow in schizophrenia." Psychiatry Research: Neuroimaging 232.3 (2015): 219-225. DOI: https://doi.org/10.1016/j.pscychresns.2015.03.007 [doi]

7. Kim, Seong‐Gi, et al. "Cerebral blood volume MRI with intravascular superparamagnetic iron oxide nanoparticles." NMR in Biomedicine 26.8 (2013): 949-962. DOI: https://doi.org/10.1002/nbm.2885 [doi]

8. Zhu, Jiachen, et al. "Transformers without normalization." Proceedings of the Computer Vision and Pattern Recognition Conference. 2025. DOI: https://doi.org/10.48550/arXiv.2503.10622 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/561-04-002