Automatic localization and segmentation of colelithiasis crystals in ultrasound images

Author

Carvalho, F.F. ; Bensebaa, K.

Author_Institution

Comput. Sci. Dept., Fed. Univ. of Sergipe, Sao Cristovao, Brazil

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4727

Lastpage

4730

Abstract

This paper presents a new method of localization and segmentation of colelithiasis crystals. This disease is characterized by crystals which are composed by irregular substances in the bile that appear in the gallbladder and can cause pain to the individual. Since the actual evaluation is done by radiologists and lacks precise, objective and quantitative assert, we present an algorithm which locates and segments the crystals using RunningHills algorithm, giving a quantitative approach to the diagnostic of this disease.

Keywords

biological organs; biomedical ultrasonics; diseases; image segmentation; medical image processing; RunningHills algorithm; automatic localization; colelithiasis crystals; gallbladder; segmentation; ultrasound images; Crystals; Image color analysis; Image edge detection; Image segmentation; Signal processing algorithms; Speckle; Ultrasonic imaging; Algorithms; Artificial Intelligence; Cholecystolithiasis; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626396

Filename

5626396