# department of computer science, university of houston *cardiovascular mri laboratory, the...

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# 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 #

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#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#

2/10

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

3/10

Methods Overview• Motivation• Methods• Results• Conclusion

Phase 2

MRIImage

ROI

Level Set

Left Ventricle

1D Signal

Wavelet

WaveletEnergy

Waveforms Extraction

Phase 1

Indexing

Reconstruction

Phase 3

- Methods Overview- Indexing- Visualization

4/10

Indexing• Motivation• Methods• Results• Conclusion

- Methods Overview- Indexing- Visualization

Indexed MRI

Thresholdon breathing

MRI

5/10

Visualization• Motivation• Methods• Results• Conclusion

- Methods Overview- Indexing- Visualization

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

7/10

Surface Area• Motivation• Methods• Results• Conclusion

- Ground Truth Comparison–Extracted Signals

8/10

Cardiac Cycle• Motivation• Methods• Results• Conclusion

- Ground Truth Comparison–Extracted Signals

9/10

Breathing Cycle • Motivation• Methods• Results• Conclusion

- Ground Truth Comparison–Extracted Signals

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- 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/ abnormalpathological cases from volume over time

• Motivation• Methods• Results• Conclusion

Conclusion