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# Department of Computer Science, University of Houston *Cardiovascular MRI Laboratory, The Methodist DeBakey Heart & Vascular Center Free-Breathing Cardiac.

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Presentation on theme: "# Department of Computer Science, University of Houston *Cardiovascular MRI Laboratory, The Methodist DeBakey Heart & Vascular Center Free-Breathing Cardiac."— Presentation transcript:

1 # Department of Computer Science, University of Houston *Cardiovascular MRI Laboratory, The Methodist DeBakey Heart & Vascular Center Free-Breathing Cardiac MRI Ilyas Uyanik, Peggy Lindner, Dipan Shah (M.D.)*, Nicolaos Tsekos #, Karen Chin* Ioannis Pavlidis #

2 2/10 Motivation Cardiac MRI (Magnetic Resonance Imaging) –Evaluate the anatomy and function of the heart –Diagnose pathological cases (e.g., low ejection fraction and fibrillation) Existing methods -Breath-hold acquisition (does not allow for long duration acquisition) -Free-breathing acquisition with ECG and/or Peripheral Gating Goals –Free-breathing acquisition using MRI signal based Gating –Record long duration cardiac MRI without additional sensors Motivation Methods Results Conclusion

3 3/10 Methods Overview Motivation Methods Results Conclusion Phase 2 MRI Image ROI Level Set Left Ventricle 1D Signal Wavelet Energy Waveforms Extraction Phase 1 Indexing Reconstruction Phase 3  Methods Overview  Indexing  Visualization

4 4/10 Indexing Motivation Methods Results Conclusion  Methods Overview  Indexing  Visualization Indexed MRI Threshold on breathing MRI

5 5/10 Visualization Motivation Methods Results Conclusion  Methods Overview  Indexing  Visualization

6 6/10 Validation Ground Truth obtained by manually marking points on the left ventricle outer boundary Motivation Methods Results Conclusion  Ground Truth Comparison –Extracted Signals

7 7/10 Surface Area Motivation Methods Results Conclusion  Ground Truth Comparison –Extracted Signals

8 8/10 Cardiac Cycle Motivation Methods Results Conclusion  Ground Truth Comparison –Extracted Signals

9 9/10 Breathing Cycle Motivation Methods Results Conclusion  Ground Truth Comparison –Extracted Signals

10 10/10 - Free-breathing acquisition using MRI signal itself - Segmentation method is promising - Breathing and pulse signals extracted for indexing Future work - 3D Imaging modality -Experiments on normal/ abnormal pathological cases from volume over time Motivation Methods Results Conclusion


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