4D MAP MRI IMAGE RECONSTRUCTION

Jacob Hinkle, Ganesh Adluru, Eugene Kholmovski, Edward DiBella, Sarang Joshi

2010

Abstract

Conventional MRI reconstruction techniques are susceptible to artifacts when imaging moving organs. In this paper, a reconstruction algorithm is developed that accommodates respiratory motion instead of using only navigator-gated data. The maximum a posteriori (MAP) algorithm uses the raw k-space time-stamped data and the 1D diaphragm navigator signal to reconstruct the images and estimate deformations in anatomy simultaneously. The algorithm eliminates blurring due to binning the data and increases signal-to-noise ratio (SNR) by using all of the collected data. The algorithm is tested in a simulated torso phantom and is shown to increase image quality by dramatically reducing motion artifacts.

Paper Citation

in Harvard Style

Hinkle J., Adluru G., Kholmovski E., DiBella E. and Joshi S. (2010). 4D MAP MRI IMAGE RECONSTRUCTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 251-257. DOI: 10.5220/0002847102510257

in Bibtex Style

@conference{visapp10,
author={Jacob Hinkle and Ganesh Adluru and Eugene Kholmovski and Edward DiBella and Sarang Joshi},
title={4D MAP MRI IMAGE RECONSTRUCTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={251-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002847102510257},
isbn={978-989-674-028-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - 4D MAP MRI IMAGE RECONSTRUCTION
SN - 978-989-674-028-3
AU - Hinkle J.
AU - Adluru G.
AU - Kholmovski E.
AU - DiBella E.
AU - Joshi S.
PY - 2010
SP - 251
EP - 257
DO - 10.5220/0002847102510257