Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-01-005 ISMRM Abstract

Motion characterization of inter-/intra-volume motion synthesized SMS EPI datasets using the ex-vivo brain.

Accepted
Wanyong Shin 1, Mark Lowe1
1Diagnostic Radiology, Cleveland Clinic, Cleveland, United States of America
Presenting Author: Wanyong Shin

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Hajnal JV, Myers R, Oatridge A, et al. Artifacts due to stimulus correlated motion in functional imaging of the brain. Magn Reson Med 1994; 31: 283-291. 1994/03/01. DOI: 10.1002/mrm.1910310307. [doi]
2. Jiang A, Kennedy DN, Baker JR, et al. Motion detection and correction in functional MR imaging. Human Brain Mapping 1995; 3: 224-235. DOI: https://doi.org/10.1002/hbm.460030306. [doi]
3. Friston KJ, Williams S, Howard R, et al. Movement-related effects in fMRI time-series. Magn Reson Med 1996; 35: 346-355. 1996/03/01. DOI: 10.1002/mrm.1910350312. [doi]
4. Grootoonk S, Hutton C, Ashburner J, et al. Characterization and correction of interpolation effects in the realignment of fMRI time series. Neuroimage 2000; 11: 49-57. 2000/02/25. DOI: 10.1006/nimg.1999.0515. [doi]
5. Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996; 29: 162-173.
6. Shattuck DW and Leahy RM. BrainSuite: an automated cortical surface identification tool. Med Image Anal 2002; 6: 129-142. 2002/06/05. DOI: 10.1016/s1361-8415(02)00054-3. [doi]
7. Ashburner J and Friston KJ. Unified segmentation. Neuroimage 2005; 26: 839-851. 2005/06/16. DOI: 10.1016/j.neuroimage.2005.02.018. [doi]
8. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004; 23 Suppl 1: S208-219. 2004/10/27. DOI: 10.1016/j.neuroimage.2004.07.051. [doi]
9. Beall EB and Lowe MJ. SimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correction. Neuroimage 2014; 101: 21-34. 2014/06/28. DOI: 10.1016/j.neuroimage.2014.06.038. [doi]
10. Shin W, Taylor P and Lowe M. Estimation and Removal of Residual Motion Artifact in Retrospectively Motion-Corrected fMRI Data: A Comparison of Intervolume and Intravolume Motion Using Gold Standard Simulated Motion Data. Aperture Neuro 2024; 2024;4.
11. Jenkinson M, Bannister P, Brady M, et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002; 17: 825-841. 2002/10/16. DOI: 10.1016/s1053-8119(02)91132-8. [doi]

Cite this abstract