Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT.
Registration of ultrasound volumes is a key issue for the reconstruction of volumetric ultrasound panorama. In this paper, we propose an improved three-dimensional (3D) scale invariant feature transform (SIFT) algorithm to globally register ultrasound volumes acquired from dedicated ultrasound probe, where local deformations are corrected by block-based warping algorithm. Original SIFT algorithm is extended to 3D and improved by combining the SIFT detector with Rohr3D detector to extract complementary features and applying the diffusion distance algorithm for robust feature comparison. Extensive experiments have been performed on both phantom and clinical data sets to demonstrate the effectiveness and robustness of our approach.
Ni
Dong
D
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China. dni@cse.cuhk.edu.hk
Chui
Yim Pan
YP
Qu
Yingge
Y
Yang
Xuan
X
Qin
Jing
J
Wong
Tien-Tsin
TT
Ho
Simon S H
SS
Heng
Pheng Ann
PA
D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D014463:Ultrasonography / Q000379:methods*