Regridding reconstruction algorithm for real-time tomographic imaging

By Federica Marone, Marco Stampanoni. Journal of Synchrotron Radiation, 2012

409 citations recorded by the source corpus.

A fast algorithm for tomographic reconstruction based on the Fourier method is presented. On CPU, it provides an up to 20-fold performance increase compared with filtered back-projection routines with negligible accuracy degradation.

Subfields: Radiation, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/70809aa4e0fab0ce90636c43a695bebaa2beb855

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiation

1. Doga Gürsoy
2. Xianghui Xiao
3. Chris Jacobsen
4. F. De Carlo

In Radiology, Nuclear Medicine and Imaging

1. Doga Gürsoy
2. Xianghui Xiao
3. Chris Jacobsen
4. F. De Carlo

Citations in the corpus

• TomoPy: a framework for the analysis of synchrotron tomographic data (2014, methodology): “X-ray transmission tomography data acquisition allows to collect high number of projections in very short times (about 1500 projections in a few seconds) , thus Fourier methods like filtered back-projection (FBP) or regridding method (Gridrec) performs quite satisfactory.(2,3) However, for modalitie”