Adaptive scan strategies for fetal MRI imaging using slice to volume techniques

Kainz B, Malamateniou C, Ferrazzi G, Murgasova M, Egger J, Keraudren K, Rutherford M, Hajnal JV, Rueckert D (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Book Volume: 2015-July

Pages Range: 849-852

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Brooklyn, NY, USA

ISBN: 9781479923748

DOI: 10.1109/ISBI.2015.7164004

Abstract

In this paper several novel methods to account for fetal movements during fetal Magnetic Resonance Imaging (fetal MRI) are explored. We show how slice-to-volume reconstruction methods can be used to account for motion adaptively during the scan. Three candidate methods are tested for their feasibility and integrated into a computer simulation of fetal MRI. The first alters the main orientation of the stacks used for reconstruction, the second stops if too much motion occurs during slice acquisition and the third steers the orientation of each slice individually. Reconstruction informed adaptive scanning can provide a peak signal-to-noise ratio (PSNR) improvement of up to 2 dB after only two stacks of scanned slices and is more efficient with respect to the uncertainty of the final reconstruction.

Authors with CRIS profile

Bernhard Kainz

Involved external institutions

King’s College London GB United Kingdom (GB) Technische Universität Graz AT Austria (AT) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Kainz, B., Malamateniou, C., Ferrazzi, G., Murgasova, M., Egger, J., Keraudren, K.,... Rueckert, D. (2015). Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. In Proceedings - International Symposium on Biomedical Imaging (pp. 849-852). Brooklyn, NY, USA: IEEE Computer Society.

MLA:

Kainz, Bernhard, et al. "Adaptive scan strategies for fetal MRI imaging using slice to volume techniques." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 849-852.

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