Direct detection of small motion from dynamic computed tomography images

Author

Sepehri, Shima ; Thiran, Jean-Philippe

Author_Institution

Signal Process. Lab. (LTS5), Swiss Fed. Inst. of Technol. Lausanne (EPFL), Lausanne, Switzerland

fYear

2013

fDate

9-13 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

In this paper, we present a new and precise method to detect small motions directly from the raw data of the X-ray scan, called sinograms. The application for which the method has been developed, namely the detection of the wall motion of intracranial aneurysm, will be presented and the required verification process will be showed with results.This direct motion detection method has the advantage of eliminating any unnecessary calculation, by directly using the sinograms, instead of the reconstructed image. Such error elimination is particularly important in critical applications, like the medical diagnostics, and for small motions, such as the motion of the wall of a body organ.The performance of the method is evaluated by comparison with digital and physical phantoms.

Keywords

X-ray imaging; computerised tomography; image motion analysis; image reconstruction; image scanners; image sensors; medical image processing; phantoms; X-ray scan; body organ; digital phantom; dynamic computed tomography imaging; image reconstruction; intracranial aneurysm; medical diagnostics; physical phantom; sinograms; wall motion detection method; Aneurysm; Computed tomography; Image reconstruction; Noise; Phantoms; Splines (mathematics); X-ray imaging; B-spline deformation; Computed Tomography (CT) scan; direct detection; intracranial aneurysm; sinogram; small motion;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European

Conference_Location

Marrakech

Type

conf

Filename

6811397