@inproceedings{59f88f3068cb49dbb28c5c9a758ecc5a,
title = "Automatic extraction of the midsagittal plane from volumetric magnetic resonance images",
abstract = "A novel method is presented to automatically extract the midsagittal plane (MSP) from volumetric MR images. The MSP which generally approximates the interhemispheric fissure is the plane separating both hemispheres. It is meaningful for the brain segmentation, registration, quantification and pathology detection especially in Talairach space. The algorithm works based on the theory of the symmetry principal axis, the local searching method and minimizing the local symmetry coefficient. The proposed algorithm is validated on 20 T2-weighted MR data sets, which indicates that a clear MSP image can be extracted in the presence of relatively bigger distance error or angular deviation. This fully automatic algorithm is potentially useful in the clinical application and for research.",
keywords = "Gradient orientation histogram, Interhemispheric fissure, Local symmetry coefficient, Midsagittal plane, Principal axis",
author = "Yili Fu and Guangcai Zhang and Shuguo Wang and Wenpeng Gao and Hao Liu",
year = "2009",
doi = "10.1117/12.832508",
language = "英语",
isbn = "9780819478085",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques",
note = "MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 30-10-2009 Through 01-11-2009",
}