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Neuroinformatics

, Volume 13, Issue 4, pp 391–402 | Cite as

Building a FP-CIT SPECT Brain Template Using a Posterization Approach

  • D. Salas-Gonzalez
  • Juan M. Górriz
  • Javier Ramírez
  • Ignacio A. Illán
  • Pablo Padilla
  • Francisco J. Martínez-Murcia
  • Elmar W. Lang
Original Article

Abstract

Spatial affine registration of brain images to a common template is usually performed as a preprocessing step in intersubject and intrasubject comparison studies, computer-aided diagnosis, region of interest selection and brain segmentation in tomography. Nevertheless, it is not straightforward to build a template of [123I]FP-CIT SPECT brain images because they exhibit very low intensity values outside the striatum. In this work, we present a procedure to automatically build a [123I]FP-CIT SPECT template in the standard Montreal Neurological Institute (MNI) space. The proposed methodology consists of a head voxel selection using the Otsu’s method, followed by a posterization of the source images to three different levels: background, head, and striatum. Analogously, we also design a posterized version of a brain image in the MNI space; subsequently, we perform a spatial affine registration of the posterized source images to this image. The intensity of the transformed images is normalized linearly, assuming that the histogram of the intensity values follows an alpha-stable distribution. Lastly, we build the [123I]FP-CIT SPECT template by means of the transformed and normalized images. The proposed methodology is a fully automatic procedure that has been shown to work accurately even when a high-resolution magnetic resonance image for each subject is not available.

Keywords

FP-CIT SPECT brain images Spatial normalization Template Parkinson 

Notes

Acknowledgments

This work was partly supported by the MICINN of Spain under the TEC2012-34306 project and the Consejería de Innovación, Ciencia y Empresa (Junta de Andalucía, Spain) under the Excellence Projects P09-TIC-4530 and P11-TIC-7103. This work has also been supported by a Marie Curie Intra-European Fellowship from the 7th Framework Programme FP7-PEOPLE-2013-IEF (Project: 624453 ALPHA-BRAIN-IMAGING).

Conflict of interests

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • D. Salas-Gonzalez
    • 1
  • Juan M. Górriz
    • 2
  • Javier Ramírez
    • 2
  • Ignacio A. Illán
    • 2
  • Pablo Padilla
    • 2
  • Francisco J. Martínez-Murcia
    • 2
  • Elmar W. Lang
    • 1
  1. 1.Computational Intelligence and Machine Learning GroupUniversity of RegensburgRegensburgGermany
  2. 2.Department of Signal Theory, Networking and CommunicationsUniversity of GranadaGranadaSpain

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