@inproceedings{014b41cb2dae40dbbe69af67f4bcb487,
title = "3D tensor normalization for improved accuracy in DTI tensor registration methods",
abstract = "This paper presents a method for normalization of diffusion tensor images (DTI) to a fixed DTI template, a pre-processing step to improve the performance of full tensor based registration methods. The proposed method maps the individual tensors of the subject image in to the template space based on matching the cumulative distribution function and the fractional anisotrophy values. The method aims to determine a more accurate deformation field from any full tensor registration method by applying the registration algorithm on the normalized DTI rather than the original DTI. The deformation field applied to the original tensor images are compared to the deformed image without normalization for 11 different cases of mapping seven subjects (neonate through 2 years) to two different atlases. The method shows an improvement in DTI registration based on comparing the normalized fractional anisotropy values of major fiber tracts in the brain.",
keywords = "DTI Registration, DTITK, Tensor Normalization",
author = "Aditya Gupta and Maria Escolar and Cheryl Dietrich and John Gilmore and Guido Gerig and Martin Styner",
year = "2012",
doi = "10.1007/978-3-642-31340-0_18",
language = "English (US)",
isbn = "9783642313394",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "170--179",
booktitle = "Biomedical Image Registration - 5th International Workshop, WBIR 2012, Proceedings",
note = "5th International Workshop on Biomedical Image Registration, WBIR 2012 ; Conference date: 07-07-2012 Through 08-07-2012",
}