TY - GEN
T1 - Saliency-based rotation invariant descriptor for wrist detection in whole body CT images
AU - Gao, Mingchen
AU - Zhan, Yiqiang
AU - Hermosillo, Gerardo
AU - Shinagawa, Yoshihisa
AU - Metaxas, Dimitris
AU - Zhou, Xiang Sean
N1 - Publisher Copyright: © 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - In this paper, we propose a saliency-based rotation invariant descriptor and apply it to detect wrists in CT images. The descriptor is motivated by the observation that salient landmarks around wrists usually form a characteristic spatial configuration (Fig. 1). In our framework, a set of interest points are firstly computed via scale-space analysis. For each interest point, we compute a pyramid of scale-distance 2D histograms constructed with neighboring interest points. The descriptor represents the spatial configuration among neighboring interest points in a rotation-invariant fashion. A cascade set of random forests are trained to distinguish wrist from other anatomies using this descriptor. Our algorithm shows robust and accurate performance on 41 whole body CT scans with diverse context, orientations and articulation configurations.
AB - In this paper, we propose a saliency-based rotation invariant descriptor and apply it to detect wrists in CT images. The descriptor is motivated by the observation that salient landmarks around wrists usually form a characteristic spatial configuration (Fig. 1). In our framework, a set of interest points are firstly computed via scale-space analysis. For each interest point, we compute a pyramid of scale-distance 2D histograms constructed with neighboring interest points. The descriptor represents the spatial configuration among neighboring interest points in a rotation-invariant fashion. A cascade set of random forests are trained to distinguish wrist from other anatomies using this descriptor. Our algorithm shows robust and accurate performance on 41 whole body CT scans with diverse context, orientations and articulation configurations.
KW - Anatomical structure detection
KW - Interest point descriptor
KW - Rotation invariant
KW - Wrist detection
UR - https://www.scopus.com/pages/publications/84927915116
U2 - 10.1109/isbi.2014.6867823
DO - 10.1109/isbi.2014.6867823
M3 - Conference contribution
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 117
EP - 120
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -