A Harmonic Analysis View on Neuroscience Imaging
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© Springer Science+Business Media New York 2013. After highlighting some of the current trends in neuroscience imaging, this work studies the approximation errors due to varying directional aliasing, arising when 2D or 3D images are subjected to the action of orthogonal transformations. Such errors are common in 3D images of neurons acquired by confocal microscopes. We also present an algorithm for the construction of synthetic data (computational phantoms) for the validation of algorithms for the morphological reconstruction of neurons. Our approach delivers synthetic data that have a very high degree of fidelity with respect to their ground-truth specifications.
author list (cited authors)
Hernandez—Herrera, P., Jiménez, D., Kakadiaris, I. A., Koutsogiannis, A., Labate, D., Laezza, F., & Papadakis, M.
Excursions in Harmonic Analysis, Volume 2