LAST filter for artifact-free noise reduction of fluoroscopic sequences in real-time

Publikationstyp
Conference Paper
Date Issued
2006-03
Sprache
English
Author(s)
Hensel, Marc  
Pralow, Thomas  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10071
Start Page
16
End Page
20
Citation
Workshops Bildverarbeitung für die Medizin: Algorithmen Systeme Anwendungen (BVM 2006): 16-20
Contribution to Conference
Workshops Bildverarbeitung für die Medizin: Algorithmen Systeme Anwendungen (BVM 2006)  
Publisher DOI
10.1007/3-540-32137-3_4
Scopus ID
2-s2.0-84879854897
Publisher
Springer
ISBN
978-3-540-32137-8
978-3-540-32136-1
We present a spatio-temporal filter for real-time noise reduction of strongly corrupted X-ray image sequences. It possesses efficient noise reduction while, at the same time, preventing typical artifacts of state-of-the-art methods. Decisive for these features are, in particular, innovative motion detection as well as noise-adaptive filter parametrization. Motion detection based on twofold signed binarization proved to be a powerful method for pixelwise separation of motion and strong noise. Drawbacks of threshold determination by Euler curve analysis as applied previously were eliminated by integration of signal-dependent noise estimation.
DDC Class
600: Technik
610: Medizin