Systematic Evaluation of the Impact of Lung Segmentation Methods on 4-Dimensional Computed Tomography Ventilation Imaging Using a Large Patient Database-Reference-Cited by-同舟云学术

Systematic Evaluation of the Impact of Lung Segmentation Methods on 4-Dimensional Computed Tomography Ventilation Imaging Using a Large Patient Database

Published:2024-01 Issue:1 Volume:118 Page:242-252
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Chen Yingxuan^ORCID,Pahlavian Soroush Heidari,Jacobs Paul,Neupane Taindra,Forghani-Arani Farnoush,Castillo Edward,Castillo Richard,Vinogradskiy Yevgeniy

Funder

National Cancer Institute

National Institutes of Health

Publisher

Elsevier BV

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,Radiation

Reference49 articles.

1. Dynamic ventilation imaging from four-dimensional computed tomography;Guerrero;Phys Med Biol,2006

2. Four-dimensional computed tomography-based pulmonary ventilation imaging for adaptive functional guidance in radiotherapy;Yamamoto;J Thorac Oncol,2009

3. Registration-based estimates of local lung tissue expansion compared to Xenon CT measures of specific ventilation;Reinhardt;Med Image Anal,2008

4. Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes;Vinogradskiy;Int J Radiat Oncol Biol Phys,2013

5. Clinical validation of 4-dimensional computed tomography ventilation with pulmonary function test data;Brennan;Int J Radiat Oncol Biol Phys,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based bronchial tree-guided semi-automatic segmentation of pulmonary segments in computed tomography images;Quantitative Imaging in Medicine and Surgery;2024-02