SCHWARZ, Daniel a Tomáš KAŠPÁREK. Automated Tissue Classification in MRI Brain Images With the Use of Deformable Registration. M. Domanski, R. Stasinski, M. Bartkowiak (Eds.). In Proceedings of 15th European Signal Processing Conference EUSIPCO 2007. Poznan, Poland: PTETiS, 2007, s. 1127-1130. ISBN 978-83-921340-2-2. |
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@inproceedings{724750, author = {Schwarz, Daniel and Kašpárek, Tomáš}, address = {Poznan, Poland}, booktitle = {Proceedings of 15th European Signal Processing Conference EUSIPCO 2007}, keywords = {MRI;registration;classification;segmentation}, language = {eng}, location = {Poznan, Poland}, isbn = {978-83-921340-2-2}, pages = {1127-1130}, publisher = {PTETiS}, title = {Automated Tissue Classification in MRI Brain Images With the Use of Deformable Registration}, year = {2007} }
TY - JOUR ID - 724750 AU - Schwarz, Daniel - Kašpárek, Tomáš PY - 2007 TI - Automated Tissue Classification in MRI Brain Images With the Use of Deformable Registration PB - PTETiS CY - Poznan, Poland SN - 9788392134022 KW - MRI;registration;classification;segmentation N2 - Methods of tissue classification in MRI brain images play a significant role in computational neuroanatomy, particularly in automated ROI-based volumetry. A well-known and very simple k-NN classifier is used here without the need for user input during the learning process. The classifier is trained with the use of tissue probabilistic maps which are available in selected digital atlases of brain. The influence of misalignement between images and the tissue probabilistic maps on the classifier's efficiency is studied in this paper. Deformable registration is used here to align the images and maps. The classifier's efficiency is tested in an experiment with data obtained from standard Simulated Brain Database. ER -
SCHWARZ, Daniel a Tomáš KAŠPÁREK. Automated Tissue Classification in MRI Brain Images With the Use of Deformable Registration. M. Domanski, R. Stasinski, M. Bartkowiak (Eds.). In \textit{Proceedings of 15th European Signal Processing Conference EUSIPCO 2007}. Poznan, Poland: PTETiS, 2007, s.~1127-1130. ISBN~978-83-921340-2-2.
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