Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Vascular and Vessel Wall Imaging

Traditional Poster

Cardiovascular

Monday, 11 May 2026

Traditional Posters | Exhibition Hall

08:20 - 09:15

Session Number: 370-02

No CME/CE Credit

Similar Sessions

This session covers technical developments and clinical applications of vascular and vessel wall imaging.

Skill Level: Basic,Intermediate,Advanced

		370-02-010. Blood Suppression Enhancement in Vessel Wall Imaging Using Toggled DANTE (tDANTE) Xiancong Liu, Ne Yang, Wushi Shao, Rui Li Tsinghua University, Beijing, China Impact: This study further enhanced blood suppression techniques, reducing flow artifacts in vessel wall imaging and achieving clearer delineation between vessel wall and lumen. The proposed technique is expected to facilitate the examination and diagnosis of vascular diseases.
		370-02-011. Comparing spiral and cartesian trajectories for Dixon-based 3D thoracic MR angiography Robert Stoll, Tobias Schäffter, Christoph Kolbitsch, Daniel Giese Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany Impact: Spiral sampling is compared to cartesian sampling for highly accelerated, large field-of-view and high spatial resolution 3D MR thoracic angiography. A variable density spiral is increasingly advantageous over an Archimedean spiral and over cartesian sampling, at higher accelerations.
		370-02-012. Carotid MRA using Centric ky-kz 3D FFE and Black Blood Imaging with T2 Prep before BB pulses Vadim Malis, Hyena Jung, Yoshiki Kuwatsuru, Mitsue MIYAZAKI University of California, San Diego, United States of America Impact: Optimized placement of the T₂ Prep module with centric k_y-k_z 3D trajectories enables sub-minute, non-contrast carotid MRA and high-contrast vessel wall imaging, improving visualization of arterial structures and surrounding short-T₂ tissues within clinically practical acquisition times.
		370-02-013. Serum PTX3 Levels Correlate with Surface Irregularity and Focal Enhancement in Carotid Vulnerable Plaques Tingting Li, jianxiu lian, Wei Yu Beijing Anzhen Hospital, Capital Medical University, Beijing, China Impact: PTX3 addresses the need for a non-invasive, cost-effective blood test to identify high-risk carotid plaques, offering a practical alternative to complex MRI examination for improving stroke risk stratification and treatment decisions.
		370-02-014. Does carotid geometry and hemodynamics impact plaque formation? An MRI study in 666 carotid bifurcations Tamara Bianchessi, Sofija Bojovic, Oscar Soto, Chiara Trenti, Elin Good, Petter Dyverfeldt Linköping University, Linköping, Sweden Impact: Our findings in a large population support the notion that geometric and hemodynamic factors may promote the initiation of atherosclerosis in the carotid bifurcation, thus improving the mechanistic understanding of atherosclerotic plaque formation.
		370-02-015. Assessing vascular aging using aortic 2D flow MRI in a healthy Swiss cohort Gloria Wolkerstorfer, Stefano Buoso, Tobias Kudelka, Pia Leuders, Maximilian Fuetterer, Robert Manka, Sebastian Kozerke University Zurich and ETH Zurich, Zurich, Switzerland Impact: This work suggests a model for the calculation of vascular age in the Swiss population.
		370-02-016. Non-contrast 3T Coronary MRA in Ischemic Heart Disease: Enhanced Image Quality with AiCE and Nitroglycerin Kanae Miyake, Jumpei Fujimoto, Koji Fujimoto, Hiroki Shiomi, Ryusuke Nishikawa, Yuki Obayashi, Yutaro Miyoshi, Tsuneo Saga, Yuichiro Monzen, Hitomi Numamoto, Sachi Okuchi, Rimika Imai, 伸保市之瀬, Yuichiro Sano, Yuji Nakamoto Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, Kyoto, Japan Impact: AiCE deep learning reconstruction effectively reduced image noise in non-contrast coronary MRA at 3T MRI. Nitroglycerin administration increased coronary vessel diameter and improved vessel traceability, whereas visibility showed mixed results.
		370-02-017. Deep Learning-Accelerated High-Resolution Vessel Wall MRI for Cerebrovascular Disease: A Prospective Study Junfeng Gao, Chaofeng Wang, MENGZHU WANG, Li Kaixin, Yanfeng Meng Taiyuan Central Hospital of Shanxi Medical Ujiversity, China Impact: Deep learning reconstruction enables high-quality vessel wall imaging with substantially reduced scan time, enhancing clinical workflow efficiency and patient comfort while improving diagnostic confidence for cerebrovascular disease assessment.
		370-02-018. AI-Enhanced 5.0T Noncontrast Coronary-MRA Without T2-preparation: Fewer False Positives Than 1.5T bSSFP in Healthy Subjects Shihai Zhao, Zheng-yu Xu, Yu-bo Guo, Gan Sun, Lu Lin, Dandan Zheng, Yuan Feng, Ye Li, Yining Wang State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Address: No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, China Impact: This work demonstrates that 5.0T CMRA using artificial compressed-sensing （ACS） acceleration reduces false-positive stenosis, potentially improving diagnostic confidence for coronary disease. It enables high-field, noncontrast CMRA without T2-preparation, supporting safer and more efficient clinical translation.