Title :
Segmentation of B-scan images of gallstones based on mathematical morphology
Author :
Albert, W. ; Kocherscheidt, C. ; Pandit, M. ; Pfeiffer, M.
Author_Institution :
Klinikum Kaiserslautern, Germany
fDate :
31 Oct-3 Nov 1996
Abstract :
A new method for the segmentation of ultrasonic B-scan images of gallstones using mathematical morphology is presented. It is based on an intuitive approach assuming the shape of the solitary stone to be convex. The front echo is separated from the inner echo by taking the first 20% of the signal. The mean gray levels of the two regions are compared. It turns out that this alone is not reliable. But, analysing the stone shape and the segments seems to be promising for improving the segmentation algorithm
Keywords :
acoustic signal processing; biomedical ultrasonics; image segmentation; mathematical morphology; medical image processing; B-scan images segmentation; front echo; gallstones; inner echo; mathematical morphology; mean gray levels; medical diagnostic imaging; segmentation algorithm; solitary stone shape; Calcium; Chemicals; Image segmentation; Medical treatment; Shape; Surface morphology; Surgery; Testing; Ultrasonic imaging; Ultrasonic transducers;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652035
