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


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 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

author={Jacob Hinkle and Ganesh Adluru and Eugene Kholmovski and Edward DiBella and Sarang Joshi},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
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