Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-07-216 ISMRM Abstract

Improved TOF-MRA visibility using an advanced combination of deep learning and algorithm-based processing in moyamoya disease

Primary: Neuro - Stroke and Cerebrovascular Disorders
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
570-07-216 · Imaging Cerebrovascular Physiology in Stroke and Cerebral Arteriopathies · Wednesday, 13 May, 4:00 PM–4:55 PM · Traditional Posters | Exhibition Hall
Keywords: Deep learning reconstruction Moyamoya disease Periventricular Anastomoses 3D TOF-MRA Background suppression
Accepted
Noriyuki Fujima1, Taro Fujiwara2, Shotaro Fuchibe 3, Taro Igarashi4, JOONSUNG LEE5, Kohsuke Kudo1,6,7
1Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sappro, Japan
2Department of Radiological Technology, Hokkaido University Hospital, Sappro, Japan
3Science and Technology Organization, GE HealthCare, Hino, Japan
4MR, Imaging Department, GE HealthCare, Hino, Japan
5GE HealthCare, San Ramon, United States of America
6Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sappro, Japan
7Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sappro, Japan
Presenting Author: Shotaro Fuchibe

Synopsis

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References

1. Lin DJ, Johnson PM, Knoll F, et al. Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians. J Magn Reson Imaging. 2021 Apr;53(4):1015-1028. doi: 10.1002/jmri.27078. [doi]
2. Lebel RM. Performance characterization of a novel deep learning-based MR image reconstruction pipeline. doi: 10.48550/arXiv.2008.06559. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/570-07-216