ENHANCEMENT OF LOW-DOSE CT SCANS

Tomasz Węgliński

tweglinski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science (Poland)

Anna Fabijańska


Lodz University of Technology, Institute of Applied Computer Science (Poland)

Abstract

In this paper the problem of enhancement of low-dose CT scans was considered. In particular, popular pre-processing algorithms (such as anisotropic diffusion filter, non-local means filter, mean-shift filter) were tested and analyzed. The assessment of image quality improvement was performed based on the artificially generated artifacts, similar to those appearing in low-dose CT scans . Their effectiveness was investigated using the image quality measures, such as the mean square error and the structural similarity index.


Keywords:

computer tomography (CT), low-dose, x-ray, hydrocephalus, segmentation

Buades,A., Coll, B. Morel J.M.: A non-local algorithm for image denoising. Computer Vision and Pattern Recognition, 2, 2005, s. 60-65.
  Google Scholar

Dorin C., Meer P: Mean Shift: A Robust Approach Toward Feature Space Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5), 2002, s. 603–619.
DOI: https://doi.org/10.1109/34.1000236   Google Scholar

Perona P., Malik J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 (7), 1990, s. 629–639.
DOI: https://doi.org/10.1109/34.56205   Google Scholar

Sasi C., Jagan A., Kaur J., Jyoti D., Rao D.S.: Image quality assessment techniques on spatial domain, International Journal Of Computer Science & Technology, 2 (3), 2011, s. 177-184
  Google Scholar

Tian J., Chen L., Ma L., A wavelet-domain non-parametric statistical approach for image denoising. IEICE Electronics Express, 7, 2010, s. 1409-1415.
DOI: https://doi.org/10.1587/elex.7.1409   Google Scholar

Węgliński T., Fabijańska A.: Enhancement of low-dose CT brain scans using graph-based anisotropic interpolation. Image Processing & Communications Challenges 5, Advances in Intelligent Systems and Computing, 233, 2014, s. 29-36
DOI: https://doi.org/10.1007/978-3-319-01622-1_4   Google Scholar


Published
2013-12-27

Cited by

Węgliński, T. ., & Fabijańska, A. . (2013). ENHANCEMENT OF LOW-DOSE CT SCANS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 3(4), 7–9. https://doi.org/10.35784/iapgos.1469

Authors

Tomasz Węgliński 
tweglinski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Anna Fabijańska 

Lodz University of Technology, Institute of Applied Computer Science Poland

Statistics

Abstract views: 177
PDF downloads: 126