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Real-time denoising of medical X-ray image sequences: three entirely different approaches
Publikationstyp
Conference Paper
Date Issued
2006
Sprache
English
Author(s)
Institut
First published in
Number in series
4142 LNCS
Start Page
479
End Page
490
Citation
Lecture Notes in Computer Science: 4142 LNCS: 479-490 (2006)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
Low-dose X-ray image sequences exhibit severe signal-dependent noise that must be reduced in real-time while, at the same time, preserving diagnostic structures and avoiding artifacts. We propose three different methods with applications beyond medical image processing. Major contributions are innovative motion detection based on independent binarization of positive and negative temporal differences, real-time multiscale nonlinear diffusion in the presence of severe signal-dependent noise, and multi-resolution inter-scale correlation in shift-dependent pyramids. All methods exhibit excellent performance over a broad range of noise, detail, and contrast levels. As performance in medical imaging depends to a large degree on the type of intervention and individual preferences of medical staff, no method is generally superior and all methods are considered for the next generation of fluoroscopy systems.
DDC Class
600: Technik
610: Medizin