8th International Course on Coronary Image Analysis and Computational Physiology

• International leading methods and progress in coronary functional assessment: QFR, OFR, UFR and CT-QFR

• Practice of QFR, OFR, UFR, CT-QFR

• An internationally accepted method for the analysis of bifurcation lesions

• Latest OCT core laboratory analysis methods
• Coronary blood flow reserve CFRangio and coronary microcirculation assisted assessment technique QMR based on angiography
• The latest methods of hemodynamic analysis
• Recent progress in assessment of coronary artery shear force and plaque stress

Pulse Imaging’s software solution and research tools will be available for hands-on training under the supervision of the faculty members.

Day 1: Coronary Physiology

09:00 am Welcome and Opening speech

09:10 am Introduction to coronary functionology: FFR, CFR, IFR, IMR

09:30 am Principle of coronary functional calculation: QFR, OFR,UFR, CT-QFR

09:50 am AngioPlus system QFR analysis and interpretation of the results

10:10 am Coffee & Tea

10:20 am QFR operation exercises

12:00 pm Lunch

01:00 pm OFR/UFR/CT-QFR analysis and interpretation of OctPlus/IvusPlus/CtaPlus system

02:00 pm QFR, OFR, UFR,CT-QFR operation exercises

05:00 pm Summary & Discussion

06:00 pm Dinner

Day 2: Core lab and practices

09:00 am Introduction of core laboratory analysis tools such as QCA,QIVUS and QCT

09:30 am Frontier research project: vascular wall shear stress and surface wall stress

10:00 am Coffee & Tea

Course Fee: $600

Including: registration fee, Lunch, Dinner, Coffee & Tea

Course Faculty:

Tu, Shengxian; Ph.D., FACC, FESC, (Course Director)

Shanghai Jiao Tong University, China

Han, Jingfeng; Ph.D.

Pulse Medical Imaging Technology (Shanghai) Co., Ltd.

Chang, Yunxiao; M.Sc.

Pulse Medical Imaging Technology (Shanghai) Co., Ltd.

General information

Language：English is the working language of the Course

Venue: Building 2, Gui-Ping Road 481, Xuhui District, Shanghai, China （上海市徐汇区桂平路481号2号楼）

Recommended Hotel accommodation: Ramada Plaza Shanghai Caohejing (10 min walking distance)

1. Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, Nef H, Tebaldi M, Murasato Y, Lansky A, Barbato E, van der Heijden LC, Reiber JHC, Holm NR, Wijns W.Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study. J Am CollCardiol Interv 2016; 9:2024–35.

2. Xu B, Tu S, Qiao S, Qu X, Chen Y, Yang J, Guo L, Sun Z, Li Z, Tian F, Fang W, Chen J, Li W, Guan C, Holm NR, Wijns W, Hu S. Diagnostic Accuracy of the Angiography-Based Quantitative Flow Ratio for Online Assessment of Coronary Stenosis. J Am Coll Cardio 2017; 70: 3077-87.
3. Westra J, Andersen BK, Campo G, Matsuo H, Koltowski L, Eftekhari A, Liu T, Di Serafino L, Di Girolamo D, Escaned J, Nef H, Naber C, Barbierato M, Tu S, Neghabat O, Madsen M, Tebaldi M, Tanigaki T, Kochman J, Somi S, Esposito G, Mercone G, Mejia-Renteria H, Ronco F, Botker HE, Wijns W, Christiansen EH, Holm NR. Diagnostic Performance of In-Procedure Angiography-Derived Quantitative Flow Reserve Compared to Pressure-Derived Fractional Flow Reserve: The FAVOR II Europe-Japan Study JAHA 2018, 14:55.
4. Li Y, Gutiérrez-Chico JL, Holm NR, Yang W, Hebsgaard L, Christiansen EH, Mæng M, Lassen JF, Yan F, Reiber JHC, Tu S. Impact of Side Branch Modeling on Computation of Endothelial Shear Stress in Coronary Artery Disease: Coronary Tree Reconstruction by Fusion of 3D Angiography and OCT. J Am Coll Cardio 2015; 66:125-35.
5. Li Y, Li Z, Holck EN, Xu B, Karanasos A, Fei Z, Chang Y, Chu M, Dijkstra J, Christiansen EH, Reiber JHC, Holm NR, Tu S. Local Flow Patterns After Implantation of Bioresorbable Vascular Scaffold in Coronary Bifurcations: Novel Findings by Computational Fluid Dynamics. Circulation Journal, 2018.82:1575-1583.
6. Tu S, Echavarria-Pinto M, von Birgelen C, Holm NR, Pyxaras SA, Kumsars I, Lam MK, Valkenburg I, Toth GG, Li Y, Escaned J, Wijns W, Reiber JHC. Fractional flow reserve and coronary bifurcation anatomy: A novel quantitative model to assess and report the stenosis severity of bifurcation lesions. J Am Coll CardiolInterv 2015; 8:564-74.
7. Wu X, Von Birgelen C, Takashi M, Li Y, Holm NR, Reiber JHC, Tu S. A novel four-dimensional angiogrephic approach to assess dynamic superficial wall stress of coronary arteries in vivo: Initial experience in evaluating vessel sites with subsequent plaque rupture. EuroIntervention 2017; 13: 1099-1103.
8. Yu W, Huang H, Jia D, Chen S, Raffel OC, Ding D, Tian F, Kan J, Zhang S, Yan Y, Chen Y, Bezerra HG, Wijns W, Tu S. Diagnostic Accuracy of Intracoronary Optical Coherence Tomography-derived Fractional Flow Reserve for Assessment of Coronary Stenosis Severity. EuroIntervention 2019;15:189-197.

9. Gutiérrez-Chico Juan Luis, Chen Yundai, Yu Wei, et al. Diagnostic accuracy and reproducibility of optical flow ratio for functional evaluation of coronary stenosis in a prospective series. Interventional Cardiology Journal 2020; Vol. 27, No. 4, 350–3613.

10. Huang J, Emori H, Ding D, Kubo T, Yu W, Huang P, Zhang S, Gutierrez-Chico J L, Akasaka T, Wijns W, Tu S. Comparison of Diagnostic Performance of Intracoronary Optical Coherence Tomography-based and Angiography-based Fractional Flow Reserve for Evaluation of Coronary Stenosis. EuroIntervention 2020 ;16:568-576.

11. Wu Peng, Gutiérrez-Chico Juan Luis, Tauzin Hélène, et al. Automatic stent reconstruction in optical coherence tomography based on a deep convolutional model. Biomedical Optics Express 2020, 11(6):3374-3394.