3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction

Jantsch M, Rueckert D, Price AN, Hajnal JV (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

Proceedings - International Symposium on Biomedical Imaging

Pages Range: 812-815

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: USA

ISBN: 9781467364546

DOI: 10.1109/ISBI.2013.6556599

Abstract

MR imaging is well suited for diagnosis, treatment and study of various cardiac diseases affecting the functionality and morphology of the heart. MR imaging provides good tissue contrast and can achieve high spatial and temporal resolution. Most current MR acquisition methods require breath-holds during the acquisition or employ respiratory gating to avoid image corruption caused by respiratory motion. Also cardiac gating is applied to achieve time resolved sampling for functional analysis. Breath-holds can be difficult for patients and gating methods can be undermined by irregular motion patterns. Real-time imaging offers a potential solution to both these issues, but poses its own challenges. We present initial results for a reconstruction pipeline that takes multiple stacks of 2D real-time, short-axis images acquired during free-breathing and computes the respiratory deformations to reconstruct a coherent 3D+t volume of the beating heart. © 2013 IEEE.

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB) King’s College London GB United Kingdom (GB)

How to cite

APA:

Jantsch, M., Rueckert, D., Price, A.N., & Hajnal, J.V. (2013). 3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction. In Proceedings - International Symposium on Biomedical Imaging (pp. 812-815). USA.

MLA:

Jantsch, Martin, et al. "3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction." Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, USA 2013. 812-815.

BibTeX: Download