A fetal fMRI specific motion correction algorithm using 2nd order edge features
Abstract
We present a novel motion correction algorithm designed specifically for fetal functional magnetic imaging resonance (fMRI). Fetal motion is a main limiting factor of fetal fMRI and standard algorithm cannot correct for fetal motion. The goals in designing the algorithm were: (i) the ability to correct for both large and small motion, (ii) the preferential weighting of fetal tissue, (iii) the development of a framework robust to artifacts, and (iv) the automatic censoring of low quality frames. The key feature of the algorithm is the use of 2ndorder edge features instead of raw intensity or 1storder edge features. We demonstrate that our algorithm significantly out performs competing approaches.
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Motion correction remains challenging as fetuses move in a relatively unconstrained manner.
“Motion correction remains challenging as fetuses move in a relatively unconstrained manner, although advances in fetal MRI methodologies [77–79] have helped reduce the impact of high motion on MR images.”
From Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy (2024) · cites this paper as [78]
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Self-citation
- Authors
- Scheinost, D., Onofrey, J. A., Kwon, S. H., Cross, S. N., Sze, G., Ment, L. R., & Papademetris, X.
- Affiliations
- Yale University (US)
- ORCID
- Venue
- 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
- Publisher
- IEEE
- Published
- 2018-04
- OpenAlex
- W2805938578
- Cited by
- 19
- References
- 14
- Citations by year
- 2025: 1 · 2024: 4 · 2022: 8 · 2021: 4 · 2020: 1 · 2019: 1
- FWCI
- 2.85
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Symposium on Biomedical Imaging (ISBI) (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Fetal and Pediatric Neurological Disorders
- Keywords
- motion correction, fetal movement, fetal brain imaging, image registration, artifact robustness
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