@MastersThesis{Nemecek-TR-2006-14,
  IS = { zkontrolovano 02 Jan 2007 },
  UPDATE  = { 2006-12-13 },
  author =	 {N{\v e}me{\v c}ek, Petr},
  supervisor =	 {{\v S}{\'a}ra, Radim},
  language =	 {czech},
  title =	 {Filtrace {\v s}umu ve scintigrafick{\'y}ch sn{\'\i}mc{\'\i}ch
                  metodou zalo{\v z}enou na Correspondence Analysis},
  e_title =	 {The Correspondence Analysis Method for Noise Reduction in
                  Scintigraphic Images},
  school =	 {Center for Machine Perception, K13133 FEE Czech Technical
                  University},
  address =	 {Prague, Czech Republic},
  year =	 {2006},
  month =	 {February},
  day =		 {21},
  type =	 {{MSc Thesis CTU--CMP--2006--14}},
  issn =	 {1213-2365},
  pages =	 {47},
  figures =	 {100},
  authorship =	 {100},
  psurl =	 {[Nemecek-TR-2006-14.pdf]},
  project =	 {MSM6840770012},
  annote = {This thesis evaluates the quality of the Poisson noise
   filtration in planar scintigraphic images using a method called
   Statistical and Heuristic Image Noise Extraction (SHINE) which is
   based on Correspondence Analysis. Evaluation is made on simulated
   and real phantom images. The quality of SHINE is compared with
   median filtration. The influence of several parameters on the
   quality of the filtration is examined. A modification of SHINE is
   proposed and tested. It suppresses artifacts of the original SHINE
   without distorting the image.},
  keywords =	 {medical imaging, noise reduction, SHINE},
}