TY - GEN
T1 - Segmentation of kidney in 3D-ultrasound images using gabor-based appearance models
AU - Cerrolaza, Juan J.
AU - Safdar, Nabile
AU - Peters, Craig A
AU - Myers, Emmarie
AU - Jago, James
AU - Linguraru, Marius George
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - This paper presents a new segmentation method for 3D ultrasound images of the pediatric kidney. Based on the popular active shape models, the algorithm is tailored to deal with the particular challenges raised by US images. First, a weighted statistical shape model allows to compensate the image variation with the propagation direction of the US wavefront. Second, an orientation correction approach is used to create a Gabor-based appearance model for each landmark at different scales. This multiscale characteristic is incorporated into the segmentation algorithm, creating a hierarchical approach where different appearance models are considered as the segmentation process evolves. The performance of the algorithm was evaluated on a dataset of 14 cases, both healthy and pathological, obtaining an average Dice's coefficient of 0.85, an average point-to-point distance of 4.07 mm, and 0.12 average relative volume difference.
AB - This paper presents a new segmentation method for 3D ultrasound images of the pediatric kidney. Based on the popular active shape models, the algorithm is tailored to deal with the particular challenges raised by US images. First, a weighted statistical shape model allows to compensate the image variation with the propagation direction of the US wavefront. Second, an orientation correction approach is used to create a Gabor-based appearance model for each landmark at different scales. This multiscale characteristic is incorporated into the segmentation algorithm, creating a hierarchical approach where different appearance models are considered as the segmentation process evolves. The performance of the algorithm was evaluated on a dataset of 14 cases, both healthy and pathological, obtaining an average Dice's coefficient of 0.85, an average point-to-point distance of 4.07 mm, and 0.12 average relative volume difference.
KW - Hydronephrosis
KW - Kidney
KW - Segmentation
KW - Statistical shape model
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=84927924624&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927924624&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6867950
DO - 10.1109/isbi.2014.6867950
M3 - Conference contribution
AN - SCOPUS:84927924624
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 633
EP - 636
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -