| SCHWARZ, Daniel a Tomáš KAŠPÁREK. Brain Tissue Classification with Automated Generation of Training Data Improved by Deformable Registration. W.G.Kropatsch, M. Kampel, A. Hanbury (Eds.). In LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Heidelberg: Springer-Verlag, 2007, s. 301-308. ISBN 978-3-540-74271-5. |
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@inproceedings{723150,
author = {Schwarz, Daniel and Kašpárek, Tomáš},
address = {Berlin, Heidelberg},
booktitle = {LECTURE NOTES IN COMPUTER SCIENCE},
keywords = {image analysis;image registration;MRI;computational neuroanatomy;brain tissue classification;atlas-based segmentation},
language = {eng},
location = {Berlin, Heidelberg},
isbn = {978-3-540-74271-5},
pages = {301-308},
publisher = {Springer-Verlag},
title = {Brain Tissue Classification with Automated Generation of Training Data Improved by Deformable Registration},
year = {2007}
}
TY - JOUR
ID - 723150
AU - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2007
TI - Brain Tissue Classification with Automated Generation of Training Data Improved by Deformable Registration
PB - Springer-Verlag
CY - Berlin, Heidelberg
SN - 9783540742715
KW - image analysis;image registration;MRI;computational neuroanatomy;brain tissue classification;atlas-based 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 training process. The classifier is trained with the use of tissue probability maps which are available in selected digital atlases of brain. The influence of misalignement between images and the tissue probability 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. Brain Tissue Classification with Automated Generation of Training Data Improved by Deformable Registration. W.G.Kropatsch, M. Kampel, A. Hanbury (Eds.). In \textit{LECTURE NOTES IN COMPUTER SCIENCE}. Berlin, Heidelberg: Springer-Verlag, 2007, s.~301-308. ISBN~978-3-540-74271-5.
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