Statistical Content-Adapted Sampling (SCAS) for 3D Computed Tomography

In this paper, a framework to create a statistical content-adapted sampling (SCAS) for 3D X-ray Computed Tomography (CT) is introduced. SCAS aims at providing an accurate but light reconstruction volume. Based on decision theory, the 3D reconstruction space is sampled from the raw projection data in three steps to directly fit the sample. To do so, the structural information is first extracted from the projections by edge detection. This information is then merged in the reconstruction space, providing a pointcloud which accurately delineates the 3D interfaces of the specimen.

Source: Computers in Biology and Medicine - November 7, 2016 Category: Bioinformatics Authors: Anthony Cazasnoves, Sylvie Sevestre, Fanny Buyens, Fran çoise Peyrin Source Type: research