Title :
Study on liver blood vessel movement during breathing cycle
Author :
Kumar, R.P. ; Rijkhorst, Erik-Jan ; Geier, Oliver ; Barratt, Dean ; Elle, Ole Jakob
Author_Institution :
Intervention Centre, Oslo Univ. Hosp., Oslo, Norway
Abstract :
Liver blood vessel movement information is important for improving the accuracy of minimally invasive therapies such as high intensity focused ultrasound and radio frequency ablation. In this paper, we present a rigid registration of centerlines obtained from multiscale vessel enhanced liver images to understand the movement of liver during breathing cycle. The method uses modified vesselness filter for finding vessel-enhanced images. The vesselness images are used for finding the centerlines of the vessels and then used for registering rigidly using the iterative closest point algorithm. Our study has shown on volunteer magnetic resonance images, the liver blood vessels move an average of approximately 3cms during the breathing cycle. Our method can potentially be used to correct for respiratory motion during image-guided liver procedures.
Keywords :
biomedical MRI; blood vessels; filtering theory; image enhancement; image registration; image segmentation; liver; medical image processing; pneumodynamics; breathing cycle; image-guided liver procedures; iterative closest point algorithm; liver blood vessel movement information; liver blood vessels; magnetic resonance images; multiscale vessel enhanced liver images; respiratory motion; rigid vessel centerline registration; vessel-enhanced images; vesselness filter; vesselness images; Biomedical imaging; Blood vessels; Image segmentation; Iterative closest point algorithm; Liver; Three-dimensional displays; Ultrasonic imaging; Blood vessel segmentation; Liver; breathing motion; centerlines; registration;
Conference_Titel :
Colour and Visual Computing Symposium (CVCS), 2013
Conference_Location :
Gjovik
DOI :
10.1109/CVCS.2013.6626279