## Automated segmentation and shape characterization of volumetric data

- Vitaly L. Galinsky, Lawrence R. Frank
- NeuroImage
- 2014

2 Excerpts

- Published 2010 in Computer Physics Communications

We propose a new method for the numerical evaluation of the spherical Bessel transform. A formula is derived for the transform by using an integral representation of the spherical Bessel function and by changing the integration variable. The resultant algorithm consists of a set of the Fourier transforms and numerical integrations over a linearly spaced grid of variable k in Fourier space. Because the k-dependence appears in the upper limit of the integration range, the integrations can be performed effectively in a recurrence formula. Several types of atomic orbital functions are transformed with the proposed method to illustrate its accuracy and efficiency, demonstrating its applicability for transforms of general order with high accuracy.

@article{Toyoda2010FastSB,
title={Fast spherical Bessel transform via fast Fourier transform and recurrence formula},
author={Masayuki Toyoda and Taisuke Ozaki},
journal={Computer Physics Communications},
year={2010},
volume={181},
pages={277-282}
}