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Free-Breathing Cardiac MRI

This study explores a new approach for free-breathing cardiac MRI using MRI signal-based gating, enabling long-duration acquisition without additional sensors. The methods and results are discussed, highlighting the potential for diagnosing pathological cases and improving imaging accuracy.

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Free-Breathing Cardiac MRI

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  1. Free-Breathing Cardiac MRI IlyasUyanik, Peggy Lindner, • Dipan Shah (M.D.)*, NicolaosTsekos#, Karen Chin* • IoannisPavlidis#

  2. Motivation • Motivation • Methods • Results • Conclusion • 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

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

  4. Indexing • Motivation • Methods • Results • Conclusion • Methods Overview • Indexing • Visualization Threshold on breathing MRI Indexed MRI

  5. Visualization • Motivation • Methods • Results • Conclusion • Methods Overview • Indexing • Visualization

  6. Validation • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals • Ground Truth obtained by manually marking points on the left ventricle outer boundary

  7. Surface Area • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals

  8. Cardiac Cycle • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals

  9. Breathing Cycle • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals

  10. Conclusion • Motivation • Methods • Results • Conclusion - 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

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