100 likes | 312 Vues
Free-Breathing Cardiac MRI. Ilyas Uyanik , Peggy Lindner, Dipan Shah (M.D.)*, Nicolaos Tsekos # , Karen Chin* Ioannis Pavlidis #. Motivation. Motivation Methods Results Conclusion. Cardiac MRI (Magnetic Resonance Imaging) Evaluate the anatomy and function of the heart
E N D
Free-Breathing Cardiac MRI IlyasUyanik, Peggy Lindner, • Dipan Shah (M.D.)*, NicolaosTsekos#, Karen Chin* • IoannisPavlidis#
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
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
Indexing • Motivation • Methods • Results • Conclusion • Methods Overview • Indexing • Visualization Threshold on breathing MRI Indexed MRI
Visualization • Motivation • Methods • Results • Conclusion • Methods Overview • Indexing • Visualization
Validation • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals • Ground Truth obtained by manually marking points on the left ventricle outer boundary
Surface Area • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals
Cardiac Cycle • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals
Breathing Cycle • Motivation • Methods • Results • Conclusion • Ground Truth Comparison • Extracted Signals
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