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# 5036. Presentation: Thursday @ 2pm. Real-Time Motion Correction for High-Resolution Imaging of the Larynx: Implementation and Initial Results. Juan M. Santos. Dwight G. Nishimura. Joëlle K. Barral. Electrical Engineering Stanford University. In a Nutshell.
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# 5036 Presentation: Thursday @ 2pm Real-Time Motion Correction for High-Resolution Imaging of the Larynx: Implementation and Initial Results Juan M. Santos Dwight G. Nishimura Joëlle K. Barral Electrical Engineering Stanford University
In a Nutshell We propose a real-time algorithm to combat the main types of motion that corrupt high-resolution larynx imaging. Our algorithm combines navigator-based motion correction with a reacquisition strategy. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
The Larynx Anterior commissure Vocal cords Thyroid cartilage Thyroid cartilage Cricoid cartilage Axial Sagittal http://www.antiquescientifica.com -- Drawing courtesy of Julie C. DiCarlo Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Laryngeal Motion Real-time acquisition: 13 frames per second Notice swallowing at time t = 18 s! Healthy volunteer Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Laryngeal Motion : Outliers (Sporadic motion) : Bulk motion (Drift) High-frequencies: Respiration, 14 cycles per min Motion detected by Cartesian navigators Cancer patient Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Laryngeal Motion Types How to mitigate their effects • Intermittent, sporadic motion: • Swallowing, coughing, jolting Alternative ordering schemes • Continuous motion: • Flow (carotid arteries) Phase encodes L/R • Bulk motion (drift) • Physical restraints; Coaching; Navigators • Respiration Diminishing Variance Algorithm (DVA) If a continuous drift happens, DVA never converges. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Diminishing Variance Algorithm (DVA) Sachs, MRM 34: 412-422, 1995 -- Sachs, IEEE-TMI19: 73-79, 2000 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Proposed Approach We propose to first correct the data based on the shift information. We then reacquire encodes whose projections could not be properly corrected. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Implementation RTHawk 1.5 T Santos, IEEE-EMBS 2: 1048-1051, 2004 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Pulse Sequence Fast Large Angle Spin Echo = FLASE • Spin echo: immune against flow & off-resonances • 3D: high-resolution • T1-weighted contrast Ma, MRM 35:903-910, 1996 -- Song, MRM 41:947-953, 1999 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Encodes Ordering Examples with 32 phase encodes and 16 slice encodes kz ky Elliptical (concentric) Sequential Square spiral Pseudo-random Wilman, MRM 38: 793-802, 1997 -- Bernstein, MRM 50: 802-812, 2003 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Reconstruction Pipeline The user stops the scan when satisfactory image quality is obtained. Barral, ISMRM Motion Workshop 2010, p. 18 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
GUI X Y Z S S Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Experimental Parameters FOV 12 cm - Matrix size 256x128x32 - TR/TE = 80/10 ms Sequentialencodes order Three-coil larynx dedicated array First pass (full acquisition: 4096 encodes): 5 min 28 s Each additional pass (64 encodes reacquired): 5 s Phantom (orange) scans: coronal acquisitions In vivo (larynx) scans: axial acquisitions Barral, ISMRM 2009, p. 1318 -- Coil picture courtesy of Marta G. Zanchi Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 1: No Motion • An orange was scanned. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 1: No Motion • As expected, image and corrected image are identical One pass = Full acquisition Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 2: DVA • Non-rigid motion was simulated by switching from the coronal acquisition to an axial acquisition towards the middle of the scan, for several seconds. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 2: DVA • As expected, motion correction fails Pass # 1 = Full acquisition: 4096 encodes acquired • Motion detection successful • Shift information meaningless Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 2: DVA • When corrupted encodes are reacquired, a motion-free image is obtained. Pass # 1 Pass # 6 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 3: Motion Correction • Towards the middle of the scan, the table was manually translated. It was brought back to its original position several seconds later. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 3: Motion Correction Pass # 1 = Full acquisition: 4096 encodes acquired • As expected, motion correction works Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 3: Motion Correction • Blurry: the final position of the table did not perfectly match the original position. Pass # 1 Pass # 4 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 4: Combined Algorithm • Non-rigid motion was simulated by switching to an axial acquisition towards the middle of the scan, for several seconds. The table was then manually translated. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 4: Combined Algorithm • Motion correction successfully accounts for the translation Pass # 1 = Full acquisition: 4096 encodes acquired Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Phantom Experiment 4: Combined Algorithm • Reacquisition needed to correct for non-rigid motion Pass # 1 Pass # 6 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 1: Without Instructions • A healthy volunteer was scanned. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 1: Without Instructions One pass = Full acquisition Slice 20/32 X Y Slice 26/32 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 1: Without Instructions Sagittal reformat Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 2: With Instructions • A healthy volunteer was scanned. He was asked to swallow at will and to accentuate motion when the center of k-space was being acquired. For this experiment, 192 encodes were reacquired each additional pass. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 2: With Instructions Pass # 1 = Full acquisition: 4096 encodes acquired • Swallowing properly detected • Only bulk motion corrected by motion-correction X Y Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
In Vivo Experiment 2: With Instructions • When corrupted encodes are reacquired, motion correction is needed to account for bulk shift (drift) that happened between passes. Pass # 1 Pass # 3 Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Conclusion & Future Work • Our real-time algorithm corrects for rigid-body motion and reacquires encodes that could not be corrected. • Additional scans are needed to validate the robustness of the method in vivo. • Future work will improve the flexibility of the algorithm and improve the user interface. Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.
Thank you! Contact: jbarral@stanford.edu On larynx imaging, see also posters # 2410 and 2416! Real-Time Motion Correction for Larynx Imaging -- J.K. Barral et al.