Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{776828, author = {Schwarz, Daniel and Kašpárek, Tomáš}, address = {Lausanne}, booktitle = {16th European Signal Processing Conference EUSIPCO 2008}, keywords = {image processing;image registration;interpolation}, language = {eng}, location = {Lausanne}, pages = {1-5}, publisher = {École Polytechnique Fédérale de Lausanne}, title = {Multilevel block matching technique with the use of generalized partial volume interpolation for nonlinear intersubject registration of MRI brain images}, year = {2008} }
TY - JOUR ID - 776828 AU - Schwarz, Daniel - Kašpárek, Tomáš PY - 2008 TI - Multilevel block matching technique with the use of generalized partial volume interpolation for nonlinear intersubject registration of MRI brain images PB - École Polytechnique Fédérale de Lausanne CY - Lausanne KW - image processing;image registration;interpolation N2 - Spatial normalization of MRI brain images by nonlinear image registration is an essential task for many applications in the field of computational neuroanatomy. Here, a multilevel block matching technique adapted to the problem of intersubject registration is presented. The concept of generalized partial volume (GPV) interpolation, which was originally used in joint intensity histogram computation, is used here in regional similarity matching. The influence of kernel function selected for GPV interpolation on the quality of registration is studied in experiments which include simulated brain images and synthetic deformations. ER -
SCHWARZ, Daniel a Tomáš KAŠPÁREK. Multilevel block matching technique with the use of generalized partial volume interpolation for nonlinear intersubject registration of MRI brain images. In \textit{16th European Signal Processing Conference EUSIPCO 2008}. Lausanne: École Polytechnique Fédérale de Lausanne, 2008, s.~1-5.
|