TY - GEN
T1 - Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors
AU - Kainz, Bernhard
AU - Keraudren, Kevin
AU - Kyriakopoulou, Vanessa
AU - Rutherford, Mary
AU - Hajnal, Joseph V.
AU - Rueckert, Daniel
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - Automatic detection of the fetal brain in Magnetic Resonance (MR) Images is especially difficult due to arbitrary orientation of the fetus and possible movements during the scan. In this paper, we propose a method to facilitate fully automatic brain voxel classification by means of rotation invariant volume descriptors. We calculate features for a set of 50 prenatal fast spin echo T2 volumes of the uterus and learn the appearance of the fetal brain in the feature space. We evaluate our novel classification method and show that we can localize the fetal brain with an accuracy of 100% and classify fetal brain voxels with an accuracy above 97%. Furthermore, we show how the classification process can be used for a direct segmentation of the brain by simple refinement methods within the raw MR scan data leading to a final segmentation with a Dice score above 0.90.
AB - Automatic detection of the fetal brain in Magnetic Resonance (MR) Images is especially difficult due to arbitrary orientation of the fetus and possible movements during the scan. In this paper, we propose a method to facilitate fully automatic brain voxel classification by means of rotation invariant volume descriptors. We calculate features for a set of 50 prenatal fast spin echo T2 volumes of the uterus and learn the appearance of the fetal brain in the feature space. We evaluate our novel classification method and show that we can localize the fetal brain with an accuracy of 100% and classify fetal brain voxels with an accuracy above 97%. Furthermore, we show how the classification process can be used for a direct segmentation of the brain by simple refinement methods within the raw MR scan data leading to a final segmentation with a Dice score above 0.90.
KW - Fetal MRI reconstruction
KW - Fetal brain localization
KW - Fetal brain segmentation
UR - https://www.scopus.com/pages/publications/84907021345
U2 - 10.1109/isbi.2014.6868098
DO - 10.1109/isbi.2014.6868098
M3 - Conference contribution
AN - SCOPUS:84907021345
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 1230
EP - 1233
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -