TY - GEN
T1 - 3D brain atlas reconstruction using deformable medical image registration
T2 - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
AU - García, Hernán F.
AU - Torres, Cristian A.
AU - Vargas Cardona, Hernán Darío
AU - Álvarez, Mauricio A.
AU - Orozco, Álvaro A.
AU - Padilla, José B.
AU - Arango, Ramiro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/14
Y1 - 2015/1/14
N2 - In deep brain stimulation surgery the most important step is the correct location of the neurostimulator device. Here, the medical specialist needs to robustly locate the basal ganglia area (i.e. subthalamic nucleus) to implant the neurostim-ulator. 3D brain atlas reconstruction methods have become in useful tools for building image guide surgery systems due to the benefits for 3D brain structure location in an interactive way. In this paper we proposes a 3D brain atlas reconstruction using deformable medical image registration for applications in deep brain stimulation surgeries. To quantitatively evaluate the performance of the registration process, we vary the registration parameters such as optimizers, similarity metrics and interpolators. The experimental results shows that deformable image registration in 3D medical images can efficiently reconstructs a 3D brain atlas from volumetric data previously labeled (Brain atlas labeled for a baseline patient) and can be used in image guide surgery systems.
AB - In deep brain stimulation surgery the most important step is the correct location of the neurostimulator device. Here, the medical specialist needs to robustly locate the basal ganglia area (i.e. subthalamic nucleus) to implant the neurostim-ulator. 3D brain atlas reconstruction methods have become in useful tools for building image guide surgery systems due to the benefits for 3D brain structure location in an interactive way. In this paper we proposes a 3D brain atlas reconstruction using deformable medical image registration for applications in deep brain stimulation surgeries. To quantitatively evaluate the performance of the registration process, we vary the registration parameters such as optimizers, similarity metrics and interpolators. The experimental results shows that deformable image registration in 3D medical images can efficiently reconstructs a 3D brain atlas from volumetric data previously labeled (Brain atlas labeled for a baseline patient) and can be used in image guide surgery systems.
UR - http://www.scopus.com/inward/record.url?scp=84922513772&partnerID=8YFLogxK
U2 - 10.1109/STSIVA.2014.7010184
DO - 10.1109/STSIVA.2014.7010184
M3 - Conference contribution
AN - SCOPUS:84922513772
T3 - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
BT - 2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 September 2014 through 19 September 2014
ER -