Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint
Murgasova M, Estrin GL, Rutherford M, Rueckert D, Hajnal J (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: IEEE Computer Society
Book Volume: 2016-June
Pages Range: 1372-1375
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Prague, CZE
ISBN: 9781479923502
DOI: 10.1109/ISBI.2016.7493522
Abstract
We present a novel method for correction of geometric distortions induced by main B0 field in fetal EPI. The method estimates distortion by making the EPI data consistent with reconstructed T2 weighted ssFSE volume. The algorithm consists of two interleaved registration processes: rigid registration of EPI slices with T2 volume to correct for motion; and deformable registration with Laplacian constraint to correct for geometric distortion of EPI slices in a manner consistent with a source free background B0 field. Our results show that the Laplacian constraint significantly improves estimation of the distortion field and EPI volume reconstructed using the proposed method achieves better consistency with T2 weighted volume than EPI volume reconstructed from data corrected by B0 field map.
Involved external institutions
King’s College London
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
How to cite
APA:
Murgasova, M., Estrin, G.L., Rutherford, M., Rueckert, D., & Hajnal, J. (2016). Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint. In Proceedings - International Symposium on Biomedical Imaging (pp. 1372-1375). Prague, CZE: IEEE Computer Society.
MLA:
Murgasova, Maria, et al. "Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint." Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, CZE IEEE Computer Society, 2016. 1372-1375.
BibTeX: Download