Share Email Print

Proceedings Paper

Fast-image filters as an alternative to reconstruction kernels in computed tomography
Author(s): Thomas Flohr; Stefan Schaller; Alexander Stadler; Wolfgang Brandhuber; Matthias U. Niethammer; Klaus W. Klingenbeck-Regn; Peter Steffen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In Computed Tomography, axial resolution is determined by the slice collimation and the spiral algorithm, while in-plane resolution is determined by the reconstruction kernel. Both choices select a tradeoff between image resolution (sharpness) and pixel noise. We investigated an alternative approach using default settings for image reconstruction which provide narrow reconstructed slice-width and high in-plane resolution. If smoother images are desired, we filter the original (sharp) images, instead of performing a new reconstruction with a smoother kernel. A suitable filter function in the frequency domain is the ratio of smooth and original (sharp) kernel. Efficient implementation was achieved by a Fourier transform of this ratio to the spatial domain. Separating the 2D spatial filtering into two subsequent 1D filtering stages in x- and y-direction further reduces computational complexity. Using this approach, arbitrarily oriented multi-planar reformats (MPRs) can be treated in exactly the same way as axial images. Due to efficient implementation, interactive modification of the filter settings becomes possible, which completely replace the variety of different reconstruction kernels. We implemented a further promising application of the method to thorax imaging, where different regions of the thorax (lungs and mediastinum) are jointly presented in the same images using different filter settings and different windowing.

Paper Details

Date Published: 3 July 2001
PDF: 10 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.430965
Show Author Affiliations
Thomas Flohr, Siemens AG (Germany)
Stefan Schaller, Siemens AG (Germany)
Alexander Stadler, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)
Wolfgang Brandhuber, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)
Matthias U. Niethammer, Siemens AG (Germany)
Klaus W. Klingenbeck-Regn, Siemens AG (Germany)
Peter Steffen, Friedrich-Alexander-Univ. Erlangen-Nuremberg (Germany)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top