Accurate Estimation of Pulmonary Nodule's Growth Rate in CT Images with Nonrigid Registration and Precise Nodule Detection and Segmentation
Abstract
We propose a new tumor growth measure for pulmonary nodules in CT images, which can account for the tumor deformation caused by the inspiration level's difference. It is accomplished with a new nonrigid lung registration process, which can handle the tumor expanding/shrinking problem occurring in many conventional nonrigid registration methods. The accurate nonrigid registration is performed by weighting the matching cost of each voxel, based on the result of a new nodule detection approach and a powerful nodule segmentation algorithm. Comprehensive experiments show the high accuracy of our algorithms and the promising results of our new tumor growth measure.
Cite
Text
Zheng et al. "Accurate Estimation of Pulmonary Nodule's Growth Rate in CT Images with Nonrigid Registration and Precise Nodule Detection and Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204050Markdown
[Zheng et al. "Accurate Estimation of Pulmonary Nodule's Growth Rate in CT Images with Nonrigid Registration and Precise Nodule Detection and Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/zheng2009cvprw-accurate/) doi:10.1109/CVPRW.2009.5204050BibTeX
@inproceedings{zheng2009cvprw-accurate,
title = {{Accurate Estimation of Pulmonary Nodule's Growth Rate in CT Images with Nonrigid Registration and Precise Nodule Detection and Segmentation}},
author = {Zheng, Yuanjie and Kambhamettu, Chandra and Bauer, Thomas L. and Steiner, Karl V.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2009},
pages = {101-108},
doi = {10.1109/CVPRW.2009.5204050},
url = {https://mlanthology.org/cvprw/2009/zheng2009cvprw-accurate/}
}