RT Journal Article
SR Electronic
A1 Vilimek, Dominik
A1 Kubicek, Jan
A1 Kloudova, Adela
A1 Krestanova, Alice
A1 Penhaker, Marek
A1 Cerny, Martin
A1 Augustynek, Martin
A1 Oczka, David
A1 Barvik, Daniel
T1 Modeling of Kidney Stones from Ultrasound Images based on Hybrid Regional Segmentation with Active Contours
JF Acta Mechanica Slovaca
YR 2019
VO 23
IS 4
SP 38
OP 45
DO 10.21496/ams.2020.014
UL https://www.actamechanica.sk/artkey/ams-201904-0006.php
AB Kidney stones (nephrolithiasis) are among the most common kidney diseases. They are solid stones that arise from minerals dissolved in urine. The treatment of kidney stones depends primarily on the position, size and composition of the stones, as well as on the general health condition of the patient. However, early diagnosis is quite complicated. In this paper, we propose a fully automatic hybrid method for identification and features extraction of the kidney stones. Specifically, model is based on the multiregional segmentation and approximation of the kidney stone area. Methods consequently use concept of the active contours which are focused on extraction of the geometrical features. The method remarkably allowing for an objective monitoring and classification of the kidney stones. These results may play a role to overcome conventionally used clinical procedures where clinicians mark kidney stones manually, without software feedback.