Abstract
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.
Original language | English (US) |
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Title of host publication | Excursions in Harmonic Analysis |
Subtitle of host publication | The February Fourier Talks at the Norbert Wiener Center |
Publisher | Birkhauser Boston |
Pages | 423-450 |
Number of pages | 28 |
Volume | 2 |
ISBN (Electronic) | 9780817683795 |
ISBN (Print) | 9780817683788 |
DOIs | |
State | Published - Jan 1 2013 |
Keywords
- Approximation error
- Confocal microscopy
- Dendritic arbor segmentation
- Directional aliasing
- Synthetic dendrites
- Synthetic tubular data
ASJC Scopus subject areas
- General Mathematics