@inproceedings{97f478ab3acf4b49b6416371a31b4b91,
title = "Automatic contour generation of 4D CT by deformable registration",
abstract = "The purpose of this work is to develop a method of automatic contour generation by deformable registration on four-dimensional CT data. Firstly, a region of interest was manually delineated by a physician on a reference phase. Then deformable registration was implemented to acquire the spatial relationship between different phases. The contour on the reference phase was mapped into all other phases by the output transformation of registration. The improved demons algorithm adds symmetric gradient to the calculation of original deformable force and has smaller registration error. The accuracy of registration plays an important role to the transforming image contours. Application of this approach to 4D CT images shows that displacements of geometrical center of delineated and generated contour are within 2mm and the maximum volume difference is just 1.5ml. The level of accuracy is acceptable for most radiotherapy applications. The robustness and accuracy of this approach show that it is a valuable tool for 4D radiation treatment planning.",
author = "Duan Zhuolei and Zhou Fugen and Liu Bo and Deng Xiaowu and Chen Ming and Huang Xiaoyan",
year = "2008",
doi = "10.1109/PACIIA.2008.94",
language = "英语",
isbn = "9780769534909",
series = "Proceedings - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008",
pages = "201--205",
booktitle = "Proceedings - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008",
note = "2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008 ; Conference date: 19-12-2008 Through 20-12-2008",
}