2022 SMRA Annual Meeting Program at a Glance

Orals
1. Risk of Recurrent Cerebral Infarction in Stroke Patients with Intracranial Atherosclerotic Disease, Ye Qiao (Johns Hopkins University)
2. MRA/MRI of Morphology and Function in Intracranial Aneurysms of the Posterior Circulation, David Saloner (UCSF)
3. Deep Learning Intracranial Aneurysm Detection on 3D TOF-MRA, Sinead Culleton (University of Utah)
4. Association of Combining Characteristics of Intracranial Atherosclerotic Disease and Cerebral Small Vessel Disease with Acute Ischemic Stroke in Symptomatic Patients: A Magnetic Resonance Imaging Study, Miaoxin Yu (Capital Medical University)
5. A software platform for the combined analysis of intracranial blood flow, diffusion and perfusion, Patrick Winter (University of Greifswald)

Pitches
1. Intracranial Aneurysm Segmentation from Highly Imbalanced 3D TOF-MRA Images using Evolving Hybrid Focal loss-based Deep Learning, Maysam Orouskhani (University of Washington)
2. Associations Between Cerebral Blood Flow and Progression of White Matter Hyperintensity in Community-dwelling Adults: A Longitudinal Cohort Study, Hualu Han (Tsinghua University)
3. Discrimination of Dolichoectasia and Atherosclerosis by MRA Tortuosity Metric Measurements in a Population-based Study, Shang Zhou (Johns Hopkins University)
4. Automatic centerline extraction of vessel branch based on point detection model, Wei Qiu (Tsinghua University)
5. Rapid 3D head-neck MRA using velocity-selective pulse train and spiral acquisition, Dan Zhu (Kennedy Krieger Institute)
6. Quantification of Post-Surgical Hemodynamic Changes in Pediatric Brain Arteriovenous Malformation Using 4D-Flow Magnetic Resonance Imaging, Alireza Sojoudi (UCSF)
7. Optimization of 4D flow MRI spatial resolution using a patient-specific phantom model of a carotid web, Retta El Sayed (Emory University)
8. Image Processing Framework for Categorization of Intracerebral Hemorrhage Age Features, Thomas Lilieholm (University of Wisconsin–Madison)

Orals
1. In Vivo T2* Mapping of Intracranial Atherosclerotic Plaque Distinguishes Symptom-Producing Plaques: a 7T MRI study, Ziming Xu (Tsinghua University)
2. Comparison of Carotid Atherosclerosis Plaque Characteristics Between Elderly Men and Women Using Magnetic Resonance Vessel Wall, Lichen Zhang (the Fifth Medical Center of Chinese PLA General Hospital)
3. Simultaneous 3D aortic lumen and vessel wall imaging with iT2prep-BOOST, Camila Munoz (King’s College London)
4. Imaging Ascending Thoracic Aortic Aneurysm Wall Stretch: A Comparison to Uniaxial Mechanical Testing, Huiming Dong (UCSF)
5. Fusion of Ferumoxytol Enhanced MRA with Non-contrast CT: Filling in the Missing Pieces, Takegawa Yoshida (UCLA Department of Radiology) 

Pitches
1. Identification of intracranial plaque features associated with recurrent stroke: a multi-modality imaging study using CT and vessel wall MRI, Lingling Wang (Renji Hospital)
2. Vasa vasorum of proximal cerebral arteries mimic intracranial vasculitis, Thorsten A. Bley (University of Wuerzburg)
3. Predictors of Progression in Intraplaque Hemorrhage Volume in Patients with Carotid Atherosclerosis: A Serial Magnetic Resonance Imaging Study, Mingming Lu (Chinese PLA general hospital)
4. Carotid Atherosclerotic Vulnerable Plaque Characteristics on Magnetic Resonance Imaging: Effective Predictors for Silent Stroke after Carotid Endarterectomy, Ran Huo (Peking University Third Hospital)
5. The relationship of Chronic Carotid Artery Occlusion and Recurrent Stroke Risk： a carotid MR-VWI study, Jin Zhang (Renji Hospital)
6. Added Value of Intracranial Vessel Wall Magnetic Resonance Imaging Across Stenosing Vasculopathies on a Per-Patient Basis, Nadin Mohamed Zanaty (Zagazig University)
7. Accuracy of Characterizing Carotid Vulnerable Atherosclerotic Plaque by 3D MR Vessel Wall Imaging: A Histological Validation Study, Chenlin Du (Tsinghua University)
8. Associations of Morphology of Lenticulostriate Arteries and Plaque Characteristics with Single Subcortical Infarction: A High-resolution Vessel Wall Imaging Study, Jin Li (Beijing Chaoyang Hospital, Capital Medical University)
9. Semi-automatic normalization and segmentation of contrast enhancement in intracranial atherosclerotic vessel wall imaging, Yin Guo (University of Washington)
10. Carotid artery perivascular adipose tissue quantified by MR imaging: A potential indicator for vulnerable atherosclerotic plaques, Shuwan Yu (Tsinghua University) 

Orals
1. Cardiovascular Risk Factors Associated with Blood Flow Characteristics Derived from 4D-flow MRI of the Left Atrium and Left Atrial Appendage: The Multi-Ethnic Study of Atherosclerosis, Maurice Pradella (Northwestern University)
2. Baseline 4D flow MRI-derived in vivo hemodynamic parameters stratify descending aortic dissection patients with enlarging aortas, Stanley Chu (Northwestern University)
3. Optimization of Complex-Difference Learning for Reconstructing Highly-Accelerated Real-Time Phase Contrast MRI with Radial k-space Sampling, Huili Yang (Northwestern University)
4. Flow Displacement and Wall Shear Stress in Individuals with Mild-to-Moderate Aortic Dilation and Tricuspid Aortic Valves, Chiara Trenti (Linköping Universitet)*
5. Deep-Learning Derived Systolic 3D Aortic Hemodynamics from Aortic Geometry, Haben Berhane (Northwestern University)
6. Impact of Flow Entrainment on Mitral Regurgitation Flow Quantification Using 4D flow MRI, Jeesoo Lee (Northwestern University)
7. True Lumen 4D Flow MRI-derived Pulse Wave Velocity in Type B Aortic Dissection is Associated with Progressive Aortic Dilatation, Anthony Maroun (Northwestern University) 

Pitches
Intra-cardiac kinetic energy and ventricular flow analysis in bicuspid aortic valve disease: impact on left ventricular function, dilation severity, and surgical outcome, Julio Garcia (University of Calgary)
2. Hemodynamic evaluation of transverse venous sinus in patients with idiopathic intracranial hypertension: A preliminary 7-T 4D flow MRI study, Zhiye Li (Beijing Tiantan Hospital, Capital Medical University)
3. Helicity of Ascending Arterial Flow in Patients With Hypertrophic Cardiomyopathy, Yuka Otaki (Sakakibara Heart Institute)
4. The Value of preoperative PC-MRI in predicting the clinical outcome of moyamoya disease after encephalo-duro-arterial synangiosis (EDAS) surgery, Shitong Liu (Chinese PLA General Hospital)
5. Blood flow dynamics of the main pulmonary artery in repaired tetralogy of Fallot using 4D-flow MR angiography, Akio Inage (Japanese Red Cross Medical Center)
6. Automatic 4D Flow MRI Segmentation of Thoracic Vessels using the Standardized Difference of Means Velocity, Sean Rothenberger (Purdue University)
7. Quantitative Time-of-Flight (qTOF) Brain MRA Velocimetry using Deep Machine Learning: Initial Experience, Ioannis Koktzoglou (NorthShore University HealthSystem)
 

Orals
1. 2.5D flow MRI of tricuspid valvular flow: An accurate automated valve-following phase-contrast approach, Jérôme Lamy (Yale)
2. Comprehensive Imaging of Fontan and Glenn Shunts in Adult Congenital Heart Disease Patients using Ferumoxytol-Enhanced MR Angiography, Gentian Lluri (Ahmanson/UCLA Adult Congenital Heart Disease Center)
3. Translatability of Fully Automated Deep Learning 3D Segmentation of CE-MRA Left Atrial Structures of AF Patients Across Two Sites, Justin J Baraboo (Northwestern)
4. 4-Dimensional CMR and Echocardiography in Pediatric Congenital Heart Disease – Segmental Sequential Analysis and Pre-Surgical Planning, Takegawa Yoshida (UCLA)
5. Pediatric BAV Flow Abnormalities Detected by 4D Flow MRI and Seismocardiography, ethan johnson (Northwestern university)
6. Five-Dimensional Respiratory-Motion Resolved Volumetric Lung Imaging for Fractional Ventilation and T1 Mapping Using MR Multitasking, Chaowei Wu (Cedars-Sinai Medical Center) 

Pitches
1. Accelerated whole-heart free-breathing CMRA in 3 min in patients with congenital heart disease, Anastasia Fotaki (King’s College London)
2. Impact of Pulmonary Artery Flow Distribution on Fontan Hemodynamics and Flow Energetics, Elizabeth Weiss (Northwestern University)
3. On the effects of contrast agents in free-running whole-heart 5D flow Imaging, Mariana B.L. Falcão (University Hospital (CHUV) and University of Lausanne (UNIL))
4. Hemodynamic Evaluation of Type B Aortic Dissection with Compressed Sensing Accelerated Single and Dual-Venc 4D Flow MRI, Ozden Kilinc (Northwestern University)
5. Exploration of age related hemodynamic changes using an atlas based analysis of 4D Flow MRI. A preliminary study, Elodie Piot (CREATIS, Universite Lyon 1)
6. Contrast-Enhanced CT Radiomics Improves the Prediction of Abdominal Aortic Aneurysm Progression, Yan Wang (UCSF)
7. Evaluation of Aortic Stent Endoleaks Using Ferumoxytol Enhanced MR Angiography, Sipan Mathevosian (UCLA)
8.  Pulmonary Vasculature of Healthy and post-COVID subjects using Free-Breathing Time-SLIP 3D UTE, Vadim Malis (UC San Diego)
9. Dual MR Cardiolymphangiography in Congenital Heart Disease – Initial Experience, Ashley E Prosper (UCLA)
10. Motion-resolved motion-corrected reconstruction for ferumoxytol-enhanced free-running whole-heart MRI, Ludovica Romanin (Siemens Healthcare)
11. Chronic thromboembolic pulmonary hypertension (CTEPH) patients show reduced right ventricular myocardial perfusion reserve (MPR), Lexiaozi Fan (Northwestern University)

MRA Orals
1. Micro-Vascularity of the Feet and Toes Using Non-Contrast MRI, Won C Bae (University of California, San Diego)
2. Using multi-contrast MRI histology to Characterize Plaque Composition in PAD for Endovascular Treatment Planning, Kayla Wilhoit (Houston Methodist Research Institute)
3. Visualization of the Entire Portal and Hepatic Venous systems in a Single Acquisition with Ferumoxytol-Enhanced MRA, Krishan R Arora (UCLA)
4. Retrospective Quantification of Clinical Multi-phasic DCE-MRI using a Pharmacokinetics-Informed Neural Network, Chaowei Wu (Cedars-Sinai Medical Center)

MRA Pitches
Multi-slice Saturated Multi-delay Arterial Spin Labeling (MS-SAMURAI) Technique for Multiparametric Kidney MRI, Zihan Ning (Tsinghua University)
2. Dynamic assessment of regional peripheral perfusion and phosphocreatine  with 1H MRI in diabetes and peripheral arterial disease, Jie Zheng (Washington University in St Louis)
3. Screening for Polyvascular Diseases in ApoE-deficient Dogs and Diabetes Patients Using Ferumoxytol- Enhanced MR Angiography, Yuehong Liu (Beijing Chaoyang Hospital, Capital Medical University)
4. Using Quantitative MRI to Characterize Acute and Chronic DVT Clot Tissue at 9.4T, Caroline D Jordan (EnMed, Texas A&M University)
5. Calibration of Plaque to Myocardium Ratio in T1-weighted Coronary Plaque Imaging, Meng Lu (Cedars- Sinai Medical Center)
6. Contrast Enhanced MRV in the Evaluation of Cryptogenic Stroke using Gadobenate Dimeglumine, Larry A. Kramer (UTHSC-Houston)

Cardiac orals
Free-breathing, non-ECG, simultaneous myocardial T1, T2, T2*, and fat-fraction mapping with motion-resolved cardiovascular magnetic resonance Multitasking, Tianle Cao (Cedars-Sinai Medical Center)
2. Accelerated Wideband Cardiac Stress Perfusion MRI Produces Clinically Acceptable Image Quality in Patients with a Cardiac Implantable Electronic Device, Daniel Kim (Northwestern University)
3. Adiabatic spin-lock preparations for robust in-vivo myocardial T1ρ-mapping at 3T, Chiara Coletti (TU Delft)
4. All-in-one CMR Multitasking with Joint Reconstruction of Pre- and Post-Contrast Images, Xianglun Mao (GE Healthcare)

Cardiac pitches
1. Image Contrast and Left Atrial Fibrosis from Late Gadolinium Enhancement are influenced by the Balanced Steady-State Free Precession Flip Angle, Suvai Gunasekaran (Northwestern University)
2. 5D-GRASP whole-heart imaging with ferumoxytol detects variation of LVEF during respiration, Yitong Yang (Emory University)
3. Fractional Myocardial Blood Volume Estimation using Ferumoxytol-Enhanced Magnetic Resonance Imaging: Early Findings in Healthy Human Subjects, Xinyi Li (UCLA)
4. A Minimal Cardiac MRI Protocol for Catheter Ablation Planning in Patients with Cardiac Implantable Electronic Devices, Calder D Sheagren (University of Toronto)
5. Volumetric Multi-Contrast Dark Blood Cardiac MRI using Readout Balanced SSFP, Robert R Edelman (NorthShore University HealthSystem)
6. Non-rigid Motion-compensated Whole-heart 18F-FDG PET and 3D T2 mapping in a hybrid PET- MR system, Alina Schneider (King’s College London)
7. Bringing the Spotlight Back to Segmental Strain:  Identifying Reproducible Segments for Left Ventricular Strain Evaluation, Siva P Sreedhar (Northwestern University)
8. Towards reproducible myocardial ASL: T1 and flip angle corrected reconstruction for mitigating sequence parameter related variability, Masa Bozic-Iven (Heidelberg University)

Orals
1. A randomized controlled trial of statins to reduce inflammation in unruptured cerebral aneurysms using high resolution vessel wall MRI, Chengcheng Zhu (University of Washington)
2. Noise Reduction in Magnetic Resonance Fluid Dynamics Using Deep Learning, Miku Nakashima (Nagoya University)
3. Deep-MyoSeg: Deep learning-based approach for myocardium segmentation in clinical T1-MOLLI and T2-bSSFP maps, Roman Jakubicek (Brno University of Technology)
4. Conditional Invertible Neural Network for Rapid Dictionary and Parameter Map Generation for Cardiac Magnetic Resonance Fingerprinting, Thomas J Fletcher (King’s College London) 

Pitches
1. In vitro Relaxometry Comparison of Three USPIO Agents for Magnetic Resonance Imaging at 3.0T, Zhengyang Ming (UCLA)
2. Differentiation of benign and malignant breast cancer lesions based on DCE-MRI voxel-by-voxel time- intensity curve profile ratios, Bingyu Yao (Shenzhen Institutes of Advanced Technology)
3. AI-Assisted Online Reconstruction for CMR Multitasking, Zihao Chen (Cedars-Sinai Medical Center)
4. An interleaved 2D GRE MRA sequence to image utero-placental and fetal vasculature, Karthikeyan Subramanian
5. Fully automated myocardial segmentation of 3D multiparametric T1 and T2 maps using an attention fully convolutional neural network, Carlos Velasco (King’s College London)
6. T1 map estimation of carotid plaque with machine learning in clinical sequences, Jeff Snyder (University of Alberta)