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Authors: Jacob Hinkle ; Ganesh Adluru ; Eugene Kholmovski ; Edward DiBella and Sarang Joshi

Affiliation: University of Utah, United States

Keyword(s): MRI, Reconstruction, Motion, Diffeomorphic.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Human-Computer Interaction ; Image and Video Analysis ; Image Registration ; Image-Based Modeling ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Statistical Approach

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.

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Paper citation in several formats:
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 (VISIGRAPP 2010) - Volume 1: VISAPP; ISBN 978-989-674-028-3; ISSN 2184-4321, SciTePress, pages 251-257. DOI: 10.5220/0002847102510257

@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 (VISIGRAPP 2010) - Volume 1: VISAPP},
year={2010},
pages={251-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002847102510257},
isbn={978-989-674-028-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: VISAPP
TI - 4D MAP MRI IMAGE RECONSTRUCTION
SN - 978-989-674-028-3
IS - 2184-4321
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
PB - SciTePress

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