Title :
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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626396
