Title :
Automatic registration of 3-D ultrasound images
Author :
Rohling, R.N. ; Gee, A.H. ; Berman, L.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
One of the most promising applications of 3-D ultrasound lies in the visualisation and volume estimation of internal 3-D structures. Unfortunately, artifacts and speckle make automatic analysis of the data difficult. In this paper we investigate the use of 3-D spatial compounding to improve data quality, and find that accurate registration is the key. A correlation-based registration technique is applied to 3-D ultrasound data acquired from in-vivo examinations of a human gall bladder. We find that the registration technique performs well, and visualisation and segmentation of the compounded data are clearly improved
Keywords :
biomedical ultrasonics; image registration; image segmentation; medical image processing; speckle; ultrasonic imaging; artifacts; automatic registration; correlation-based registration technique; data quality; human gall bladder; in-vivo examinations; internal 3D structures; segmentation; speckle; visualisation; volume estimation; Bladder; Data analysis; Data visualization; Humans; Image recognition; Image reconstruction; Image segmentation; Probes; Speckle; Ultrasonic imaging;
Conference_Titel :
Computer Vision, 1998. Sixth International Conference on
Conference_Location :
Bombay
Print_ISBN :
81-7319-221-9
DOI :
10.1109/ICCV.1998.710734