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

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 b...

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Bibliographic Details
Published in:Neuroinformatics (Totowa, N.J.) N.J.), 2015-10, Vol.13 (4), p.391-402
Main Authors: Salas-Gonzalez, D., Górriz, Juan M., Ramírez, Javier, Illán, Ignacio A., Padilla, Pablo, Martínez-Murcia, Francisco J., Lang, Elmar W.
Format: Article
Language:English
Subjects:
Algorithms
Bioinformatics
Biomedical and Life Sciences
Biomedicine
Brain - diagnostic imaging
Brain Mapping
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Humans
Image Processing, Computer-Assisted
Neurology
Neurosciences
Original Article
Reproducibility of Results
Tomography, Emission-Computed, Single-Photon
Tropanes - metabolism
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Summary: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.
ISSN:1539-2791
1559-0089
DOI:10.1007/s12021-015-9262-9