@Article{Holinka-MGV2009,
  IS = { zkontrolovano 25 Jan 2010 },
  UPDATE  = { 2009-12-29 },
  author =	 {Holinka, {\v S}t{\v e}p{\'a}n and {\v S}{\'a}ra, Radim and
                  Smutek, Daniel },
  title =	 {Relation between Structural Changes in {B}-mode Ultrasound
                  Images of Thyroid Parenchyma and the Presence of Thyroid
                  Antibodies in Blood Sample},
  year =	 {2009},
  pages =	 {67-82},
  journal =	 {Machine Graphics and Vision},
  publisher =	 {Institute of Computer Science, Polish Academy of Sciences},
  address =	 {Warsaw, Poland},
  issn =	 {1230-0535},
  volume =	 {18},
  number =	 {1},
  month =        {January/March},
  authorship =	 {34-33-33},
  annote =	 {Ultrasonography is a cheap and quick non-invasive medical
                  imaging technique, used as a diagnostic method for
                  autoimmune thyroiditis. Another important diagnostic method
                  for this chronic inflammation is measuring the increased
                  level of thyroid antibodies (anti-thyroid peroxidase (TPOAb)
                  and/or anti-thyroglobulin (TgAb)) in blood samples. This
                  paper shows that B-mode ultrasound images contain weak
                  information related to the presence or absence of these
                  antibodies. Ultrasound image analysis is based on textural
                  recognition using probabilistic spatial features. Two
                  studies are performed. The results of the first study show
                  that the spatial texture features we used contain weak
                  information about the presence or absence of TPOAb and TgAb
                  antibodies as measured by conditional entropy. In the second
                  study a classifier is derived from Bayesian decision theory
                  and is tested on a set of 2820 sonograms of 94 subjects. The
                  training set contains 67 subjects and the test set consists
                  of 27 independent subjects. The results of classification to
                  three classes (healthy, thyroiditis with positive antibody
                  test, thyroiditis with negative antibody test) achieved
                  sensitivity 29% and specificity 100% on the test set.},
  keywords =	 {B-mode sonography, texture analysis, classification, 
                  thyroid gland, autoimmune lymphocytic thyroiditis, 
                  thyroid antibodies},
  project =	 {MSM6840770012, 119607},
}