Title :
Texture characterization in ultasonograms of the thyroid gland
Author :
Lyra, Maria E. ; Lagopati, Nefeli ; Charalabatou, Paraskevi ; Vasoura, Efrosini ; Antoniou, Aristides ; Georgosopoulos, Costas ; Skouroliakou, Katerina
Author_Institution :
A´´ Radiol. Dept., Nat. Univ. of Athens, Athens, Greece
Abstract :
This study tries a quantitative characterization of the thyroid tissue as far as homogeneity and echogenicity are concerned, to quantitatively evaluate thyroid texture. Digital image processing techniques offer the opportunity for texture description. Although there is no formal definition of texture, this particular method of description can quantify properties such as smoothness, coarseness and regularity. First-order and co-occurrence features are quantified and multi factor analysis is used to evaluate the optimal subset of parameters for thyroid texture.
Keywords :
biomedical ultrasonics; feature extraction; image texture; medical image processing; co-occurrence feature; coarseness; digital image processing; echogenicity; first-order feature; homogeneity; multifactor analysis; regularity; smoothness; texture characterization; thyroid gland; ultasonograms; Computer languages; Image segmentation; Pixel;
Conference_Titel :
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4244-6559-0
DOI :
10.1109/ITAB.2010.5687628