Myers, Glenn R

Thomas, C David L

Paganin, David

Gureyev, Timur

Clement, John G

2010

We present a method for tomographic reconstruction of objects containing several distinct materials, which is capable of accurately reconstructing a sample from vastly fewer angular projections than required by conventional algorithms. The algorithm is more general than many previous discrete tomography methods, as: (i) a priori knowledge of the exact number of materials is not required; (ii) the linear attenuation coefficient of each constituent material may assume a small range of a priori unknown values. We present reconstructions from an experimental x-ray computed tomography scan of cortical bone acquired at the SPring-8 synchrotron.

Applied Physics Letters, 96(2), p. 021105-1-021105-3

1077-3118

0003-6951

1520-8842

https://hdl.handle.net/1959.11/8467

American Institute of Physics

A general few-projection method for tomographic reconstruction of samples consisting of several distinct materials

Journal Article

Publication