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Moderators: Paul Finn, Gerhard Laub<\/span><\/strong><\/p>\n 08:00-08:30 am<\/span> Welcome remarks<\/strong><\/p>\n \u00a0 –<\/strong> UCLA leadership <\/strong><\/p>\n 08:30-10:00 am<\/span> (15 min each)<\/strong><\/p>\n 10:00-10:15 am<\/span><\/strong> Break<\/p>\n Moderators: Laura Eisenmenger, Qin Qin<\/span><\/strong><\/p>\n 10:15-10:51 am<\/span> (12 min each)<\/strong><\/p>\n 10:51-11:51 am<\/strong><\/span> Abstract presentations (Oral: 8 min each, power pitch: 2.5 min )<\/strong><\/p>\n Orals<\/u> Pitches<\/u> 11:49-01:00 pm<\/span> Lunch<\/strong><\/p>\n <\/strong><\/p>\n Moderators: Debiao Li, Chun Yuan<\/span><\/strong><\/p>\n 01:00-02:45 pm<\/span> (15 min each)<\/strong><\/p>\n 02:45-03:00 pm<\/span> Break<\/strong><\/p>\n \u00a0<\/strong><\/p>\n Moderators: Mahmud Mossa-Basha, Ye Qiao<\/span><\/strong><\/p>\n 03:00-03:48 pm<\/span> (12 min each)<\/strong><\/p>\n 03:48-05:01<\/span> Abstract presentations (Oral: 8 min, power pitch: 2.5 min)<\/strong>\u00a0<\/strong><\/p>\n Orals<\/u> Pitches<\/u> <\/p>\n<\/div>\n Moderators: Tim Leiner, Huijun Chen<\/span><\/strong><\/p>\n 08:00-09:00 am<\/span> <\/strong>AI Grand Challenge: Plaque Characterization: Huijun Chen<\/p>\n 09:00-09:15 am<\/span> AI in CTA: Damini Dey<\/strong><\/p>\n 09:15-09:30 am<\/span> AI in CMR: Tim Leiner<\/strong><\/p>\n 09:30-09:45 am<\/span> AI in fingerprinting CMR: Jesse Hamilton<\/strong><\/p>\n 09:45-10:00 am<\/span> Panel discussion: all speakers<\/strong><\/p>\n 10:00-10:15 am<\/span> Break<\/strong><\/p>\n <\/p>\n Moderators: Chuck Dumoulin, Susanne Schnell<\/span><\/strong><\/p>\n 10:15-10:39 am<\/span> (12 min each)<\/strong><\/p>\n 10:39-11:53 am<\/span> Abstract presentations (Oral: 8 min, power pitch: 2.5 min )<\/strong><\/p>\n Orals<\/u> Pitches<\/u> 11:53-01:00 pm<\/span> Lunch<\/strong><\/p>\n <\/p>\n Moderators: Ashley Prosper, Aleksandra Radjenovic<\/span><\/strong><\/p>\n 01:00-02:30<\/span> (15 min each)<\/strong><\/p>\n 02:30-02:45 pm<\/span> Break<\/strong><\/p>\n <\/p>\n Moderators: Kim-Lien Nguyen, Graham Wright<\/span><\/strong><\/p>\n 02:45-03:33 pm<\/span> (12 min each)<\/strong><\/p>\n 03:45-05:00 am<\/span> Abstract presentations (Oral: 8 min, power pitch: 2.5 min)<\/strong><\/p>\n Orals<\/u> Pitches<\/u> \u00a0<\/strong><\/p>\n Moderators: Stefan Ruehm, Jeff Maki<\/span><\/strong><\/p>\n 08:00-09:30 am<\/span> (15 min each)<\/strong><\/p>\n 09:30-09:45 am<\/span> Break<\/strong><\/p>\n <\/p>\n Moderators: Rene Botnar and TBD<\/span><\/strong><\/p>\n 09:45-10:21 am<\/strong><\/span><\/p>\n 10:21-12:00 am<\/span> Abstract presentations (Oral: 8 min, power pitch: 2.5 min)<\/strong><\/p>\n MRA Orals<\/u> MRA Pitches<\/u> Cardiac orals<\/u> Cardiac pitches<\/u> <\/p>\n<\/div>\n 12:00-01:10 pm<\/span> Lunch<\/strong><\/p>\n \u00a0<\/strong><\/p>\n Moderators: Paul Finn, Chuck Dumoulin<\/span><\/strong><\/p>\n
– Jeff Golden, Associate Dean for Research and Education, Cedars-Sinai Medical Center
– Chun Yuan, Paul Finn, Debiao Li<\/p>\n\n
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2. Non-invasive angiography – trends in MRI and CT share over a decade and then pandemic in
Scotland: Giles Roditi
3. When and why I choose CTA over MRA: Geoff Ruben
4. When and why I choose MRA over CTA: Martin Prince
5. Trends in CMR: highlights of SCMR 2022: Michael Salerno
6. Panel discussion: all speakers<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\nScientific Session I: Head and Neck MRA <\/strong><\/h3>\n
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2. Fast MR imaging in the stroke patients: integration into clinical decision making: Kambiz Nael
3. Advances in carotid MR imaging: promising techniques for clinical translation: David Saloner<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
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)<\/p>\n
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\u2013Madison)<\/p>\n<\/div>\nPlenary Session II: New Horizons<\/strong><\/h3>\n
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2. Continuous Quantitative Multi-contrast CMR: Anthony Christodoulou
3. 4D Flow and MRA: Michael Markl
4. Intracranial and extracranial vessel wall MRI utilization trends: Mahmud Mossa-Basha
5. Low field cardiovascular MR: Krishna Nayak
6. Multimodality plaque imaging (MRA + PET): Pamela Woodard
7. Panel discussion: all speakers<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\nScientific Session II: Vessel Wall MRI <\/strong><\/h3>\n
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2. Clinical carotid plaque imaging: Kevin DeMarco
3. The\u00a0value\u00a0of\u00a0MR\u00a0vessel\u00a0wall\u00a0imaging\u00a0in\u00a0cryptogenic\u00a0stroke: Ajay Gupta
4. Multi-vascular bed vessel wall imaging in MI patients: Janet Wei<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
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)\u00a0<\/span><\/p>\n
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\uff1a 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:\u00a0<\/span>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)\u00a0<\/span><\/p>\nWednesday, Aug. 24<\/strong><\/span><\/h2>\n
Plenary Session III: Artificial Intelligence in MRA and CMR<\/strong><\/h3>\n
Scientific Session III: Quantitative Flow MRI<\/strong><\/h3>\n
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USA)
2. Quantitative flow imaging: State of the art and recent advances in quantitative flow imaging: Sergio
Uribe Arancibia (Pontificia Universidad Cat\u00f3lica de Chile, Santiago, Chile)<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
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 (Link\u00f6ping 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)\u00a0<\/span><\/p>\n
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\u00a0<\/span>(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)
\u00a0<\/span><\/p>\n<\/div>\nPlenary Session: IV: Tailoring MRA for women and underserved groups\/diseases<\/strong><\/h3>\n
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2. COVID CMR: Alan Kwan
3. CMR in women and the renally impaired patients: Kim-Lien Nguyen
4. Sex differences in prevalence, treatment, and outcomes of peripheral vascular disease: Peter
Lawrence
5. ASL: Danny Wang
6. Panel discussion<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\nScientific Session IV: <\/strong>Thoracic and Cardiac MR<\/h3>\n
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2. Free running 5D CMR: Matthias Stuber
3. CMR technical development in China. Peng Hu (virtual)
4. Multi-dimensional CMR in pediatric CHD: Clinical experience: Shi-Joon Yoo
5. Developments in breath-hold gated MRA: Gerhard Laub<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
1. 2.5D flow MRI of tricuspid valvular flow: An accurate automated valve-following phase-contrast approach, J\u00e9r\u00f4me 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)\u00a0<\/span><\/p>\n
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. Falc\u00e3o (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. \u00a0Pulmonary 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)<\/p>\n<\/div>\nThursday, Aug. 25<\/strong><\/span><\/h2>\n
Plenary Session V: Venous Imaging <\/strong><\/h3>\n
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2. Venous imaging with Ferumoxytol (including safety): Paul Finn
3. Venous MR imaging: Clinical experience in China: Qi Yang (virtual)
4. From MRA to QSM and back: Yi Wang
5. Flow-suppressed whole-brain thrombus imaging: Zhaoyang Fan
6. Panel discussion<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\nScientific Session V: Coronary\/peripheral\/abdominal MRA <\/strong><\/h3>\n
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2. Coronary plaque imaging: Yibin Xie
3. Coronary MRA: clinical applications: Hajime Sakuma
4. Peripheral non-contrast MRA: Mitsue Miyazaki<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n
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-<\/span>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)<\/p>\n
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\u00a0 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)<\/p>\n
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 T1\u03c1-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)<\/p>\n
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:\u00a0 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)<\/p>\nPlenary Session VI: Industry <\/strong><\/h3>\n