TY - GEN
T1 - Sensitivity of Initial Pose Variations to Feature based 3D-2D Registration in Vertebral Pose Estimation
AU - Ushakiran, null
AU - Anitha, H.
AU - Bhat, Shyamasunder N.
AU - Naik, Roshan R.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The vertebral pose is accurately estimated by registering the pre-operative MRI with the intra-operative x-ray during the surgery. The registration task becomes considerably more challenging for multimodal images due to differences in image pixel intensities. The registration algorithm fails when there is a large initial displacement between the images. This paper proposes a feature-based 3D to 2D registration to accurately align pre-operative MRI with intra-operative X-ray with large displacement. The experiment was conducted on the simulated images by varying the initial displacements. The results demonstrate that the proposed method can increase the starting displacement upto a range of ±20mm and ±10° displacements in all translation and rotation parameters, respectively, by providing a high accuracy.
AB - The vertebral pose is accurately estimated by registering the pre-operative MRI with the intra-operative x-ray during the surgery. The registration task becomes considerably more challenging for multimodal images due to differences in image pixel intensities. The registration algorithm fails when there is a large initial displacement between the images. This paper proposes a feature-based 3D to 2D registration to accurately align pre-operative MRI with intra-operative X-ray with large displacement. The experiment was conducted on the simulated images by varying the initial displacements. The results demonstrate that the proposed method can increase the starting displacement upto a range of ±20mm and ±10° displacements in all translation and rotation parameters, respectively, by providing a high accuracy.
UR - https://www.scopus.com/pages/publications/85158105443
UR - https://www.scopus.com/inward/citedby.url?scp=85158105443&partnerID=8YFLogxK
U2 - 10.1109/ICSTCEE56972.2022.10099932
DO - 10.1109/ICSTCEE56972.2022.10099932
M3 - Conference contribution
AN - SCOPUS:85158105443
T3 - Proceedings of the 3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022
BT - Proceedings of the 3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022
A2 - Divakar, B. P.
A2 - Hulipalled, Vishwanath R.
A2 - Kodabagi, Mallikarjun M.
A2 - Devanathan, M
A2 - Parthasarathy, G
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022
Y2 - 16 December 2022 through 17 December 2022
ER -