TY - GEN
T1 - Combined SCP and geometric reconstruction of spine from biplanar radiographs
AU - Kumar, Sampath
AU - Nayak, K. Prabhakar
AU - Hareesha, K. S.
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2016.
PY - 2016
Y1 - 2016
N2 - Three-dimensional reconstruction of the spine is necessary in proper diagnosis of various spinal deformities. This is normally achieved using stereo-radiographic techniques involving biplanar (frontal and lateral) radiographs. Either stereo-corresponding point (SCP) algorithm or non-stereo-corresponding point (NSCP) algorithm is used for this purpose. The NSCP technique suffers from observer variability. Moreover, it is time consuming. Hence, it has restricted usage in clinical environment. Here, a hybrid approach is proposed in which a 3D spine model is reconstructed by applying geometric features to the SCP reconstructed model. The vertebral orientation features are automatically extracted from the calibrated radiographs. The 3D model thus produced is successfully validated. The proposed method has lesser observer variability due to the limited number of anatomical landmarks. Also, the reconstruction errors are within the acceptable limits available in the literature. Thus, the proposed technique can be used in clinical practices for the diagnosis of spinal deformities.
AB - Three-dimensional reconstruction of the spine is necessary in proper diagnosis of various spinal deformities. This is normally achieved using stereo-radiographic techniques involving biplanar (frontal and lateral) radiographs. Either stereo-corresponding point (SCP) algorithm or non-stereo-corresponding point (NSCP) algorithm is used for this purpose. The NSCP technique suffers from observer variability. Moreover, it is time consuming. Hence, it has restricted usage in clinical environment. Here, a hybrid approach is proposed in which a 3D spine model is reconstructed by applying geometric features to the SCP reconstructed model. The vertebral orientation features are automatically extracted from the calibrated radiographs. The 3D model thus produced is successfully validated. The proposed method has lesser observer variability due to the limited number of anatomical landmarks. Also, the reconstruction errors are within the acceptable limits available in the literature. Thus, the proposed technique can be used in clinical practices for the diagnosis of spinal deformities.
UR - http://www.scopus.com/inward/record.url?scp=84964865128&partnerID=8YFLogxK
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U2 - 10.1007/978-981-10-0451-3_21
DO - 10.1007/978-981-10-0451-3_21
M3 - Conference contribution
AN - SCOPUS:84964865128
SN - 9789811004506
VL - 437
T3 - Advances in Intelligent Systems and Computing
SP - 215
EP - 225
BT - Proceedings of 5th International Conference on Soft Computing for Problem Solving, SocProS 2015
A2 - Deep, Kusum
A2 - Das, Kedar Nath
A2 - Bansal, Jagdish Chand
A2 - Pant, Millie
A2 - Nagar, Atulya
PB - Springer Verlag
T2 - 5th International Conference on Soft Computing for Problem Solving, SocProS 2015
Y2 - 18 December 2015 through 20 December 2015
ER -