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CT-FFR: AI - Deep Machine Learning
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Classroom Contents
Functional CT Imaging of Coronary Heart Disease
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- 1 Intro
- 2 Disclosures
- 3 Standard Dose CCTA - Accuracy
- 4 Core 64
- 5 Accuracy - CT vs Other Non-Invasive Tests for CAD DX
- 6 Improving on the Baseline
- 7 Reduced Dose - Prospective ECG Triggering
- 8 Radiation Protection - Low kV
- 9 Simple Measures Go a Long Way
- 10 Iterative Image Reconstruction
- 11 Reduced Calcium Blooming Artifacts
- 12 Improved Specificity for Stenosis
- 13 Gentle Techniques - TAVR Workup with 40cc Contrast
- 14 Prognostic Value
- 15 Prognosis: MUSC Outcomes in 458 Patients
- 16 Anatomical vs. Functional Testing: PROMISE
- 17 CT of Cardiac Function (not that)
- 18 Perfusion CT: An Old Idea...
- 19 CT Modalities for MPI
- 20 CT Myocardial Perfusion Protocols: DECT
- 21 Dual-Source CT Based DECT
- 22 DECT for Myocardial Ischemia
- 23 Morphology and Function: DECT
- 24 DECT Post-processing
- 25 3rd Gen. DSCT-Based DECT: Radiation-Dose
- 26 DECT Can Detect Subtle Pathology
- 27 Delayed Enhancement DECT
- 28 Extracellular Volume Fraction (ECVF), Novel CT marker for fibrosis
- 29 Adenosine vs Regadenoson
- 30 Automated Evaluation Software
- 31 Quantitative DECT Perfusion
- 32 Dynamic Time Resolved Perfusion
- 33 Structure / Function: Comprehensive Dx
- 34 Absolute MBF Quantification
- 35 Solving Clinical Dilemmas...
- 36 Monitoring Therapeutic Effects...
- 37 3-Vessel Disease: Balanced Ischemia
- 38 CT Perfusion vs SPECT - Cost Effectiveness
- 39 CT-FFR: Current Approaches - CFD
- 40 CT-FFR: The PLATFORM Trial
- 41 Cost-Effectiveness & Quality of Life
- 42 CT-FFR: AI - Deep Machine Learning
- 43 Summary
- 44 Thank you!
