Share Email Print
cover

Proceedings Paper

SinoCor: a clinical tool for sinogram-level patient motion correction in SPECT
Author(s): Debasis Mitra; Daniel Eiland; Thomas Walsh; Rostyslav Bouthcko; Grant T. Gullberg; Norberto Schechtmann
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We present a simple method for correcting patient motion in SPECT. The targeted type of motion is a momentary shift in patient's body position due to coughing, sneezing or a need to shift weight during a long scan. When detected by the radiologist, this motion sometimes causes the scan data being discarded and the scan being repeated, thus imposing extra costs and unnecessary health risks to the patients. We propose a partial solution to this problem in the form of a graphical user interface based software tool SinoCor, integrated with the sinogram viewing software that allows instant correction for the simplest types of motion. When used during the initial check of the scan data, this tool allows the technologists to interactively detect the instances of motion and determine the parameters of the motion by achieving consistent picture of the sinogram. Two types of motion are corrected by using the algorithms: translational motion of the patient and small angle rotation about in-plane axes. All of the motion corrections are performed at the sinogram level, after which the images may be reconstructed using hospital's/organization's standard reconstruction software. SinoCor is platform independent, it requires no modification of the acquisition protocol and other processing software, and it requires minimal personnel training. In this article we describe the principal architecture of SinoCor software and illustrate its performance using both a phantom and a patient scan data.

Paper Details

Date Published: 15 March 2011
PDF: 5 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79624V (15 March 2011); doi: 10.1117/12.878787
Show Author Affiliations
Debasis Mitra, Florida Institute of Technology (United States)
Daniel Eiland, Florida Institute of Technology (United States)
Thomas Walsh, Florida Institute of Technology (United States)
Rostyslav Bouthcko, Lawrence Berkeley National Lab. (United States)
Grant T. Gullberg, Lawrence Berkeley National Lab. (United States)
Norberto Schechtmann, MIMA (United States)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top