A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images

Diego Salas-Gonzalez, Elmar W. Lang, Juan M. Gorriz, Javier Ramírez

Abstract

A fully automatic procedure to build a [123I]FP-CIT SPECT template in the MNI-space using only information from the source images is presented. This approach does not require the acquisition of patient-specific brain magnetic resonance image. This fully automatic procedure uses, firstly, the Otsu’s method to outline the source images; secondly, a threshold strategy to posterize the source images and the template and, lastly, an affine registration algorithm by the optimization of a square root of sum of squares cost function.

References

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Paper Citation


in Harvard Style

Salas-Gonzalez D., W. Lang E., Gorriz J. and Ramírez J. (2015). A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 88-92. DOI: 10.5220/0005296000880092


in Bibtex Style

@conference{visapp15,
author={Diego Salas-Gonzalez and Elmar W. Lang and Juan M. Gorriz and Javier Ramírez},
title={A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={88-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005296000880092},
isbn={978-989-758-091-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images
SN - 978-989-758-091-8
AU - Salas-Gonzalez D.
AU - W. Lang E.
AU - Gorriz J.
AU - Ramírez J.
PY - 2015
SP - 88
EP - 92
DO - 10.5220/0005296000880092