Literature DB >> 17354764

Accurate airway wall estimation using phase congruency.

Raúl San José Estépar1, George G Washko, Edwin K Silverman, John J Reilly, Ron Kikinis, Carl-Fredrik Westin.   

Abstract

Quantitative analysis of computed tomographic (CT) images of the lungs is becoming increasingly useful in the medical and surgical management of subjects with Chronic Obstructive Pulmonary Disease (COPD). Current methods for the assessment of airway wall work well in idealized models of the airway. We propose a new method for airway wall detection based on phase congruency. This method does not rely on either a specific model of the airway or the point spread function of the scanner. Our results show that our method gives a better localization of the airway wall than "full width at a half max" and is less sensitive to different reconstruction kernels and radiation doses.

Entities:  

Mesh:

Year:  2006        PMID: 17354764     DOI: 10.1007/11866763_16

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  32 in total

1.  Influence of radiation dose and reconstruction algorithm in MDCT assessment of airway wall thickness: A phantom study.

Authors:  Daniel Gomez-Cardona; Scott K Nagle; Ke Li; Terry E Robinson; Guang-Hong Chen
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

2.  Airway wall attenuation: a biomarker of airway disease in subjects with COPD.

Authors:  George R Washko; Mark T Dransfield; Raúl San José Estépar; Alejandro Diaz; Shin Matsuoka; Tsuneo Yamashiro; Hiroto Hatabu; Edwin K Silverman; William C Bailey; John J Reilly
Journal:  J Appl Physiol (1985)       Date:  2009-04-30

Review 3.  CT based computerized identification and analysis of human airways: a review.

Authors:  Jiantao Pu; Suicheng Gu; Shusen Liu; Shaocheng Zhu; David Wilson; Jill M Siegfried; David Gur
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

4.  Effect of Reducing Field of View on Multidetector Quantitative Computed Tomography Parameters of Airway Wall Thickness in Asthma.

Authors:  Ajay Sheshadri; Alfonso Rodriguez; Ryan Chen; James Kozlowski; Dana Burgdorf; Tammy Koch; Jaime Tarsi; Rebecca Schutz; Brad Wilson; Kenneth Schechtman; Joseph K Leader; Eric A Hoffman; Mario Castro; Sean B Fain; David S Gierada
Journal:  J Comput Assist Tomogr       Date:  2015 Jul-Aug       Impact factor: 1.826

5.  Bronchial Cartilage Assessment with Model-Based GAN Regressor.

Authors:  Pietro Nardelli; George R Washko; Raúl San José Estépar
Journal:  Med Image Comput Comput Assist Interv       Date:  2019-10-10

6.  Accurate measurement of small airways on low-dose thoracic CT scans in smokers.

Authors:  Barbara A Lutey; Susan H Conradi; Jeffrey J Atkinson; Jie Zheng; Kenneth B Schechtman; Robert M Senior; David S Gierada
Journal:  Chest       Date:  2013-05       Impact factor: 9.410

7.  Generative-based airway and vessel morphology quantification on chest CT images.

Authors:  Pietro Nardelli; James C Ross; Raúl San José Estépar
Journal:  Med Image Anal       Date:  2020-03-28       Impact factor: 8.545

8.  Physiological and computed tomographic predictors of outcome from lung volume reduction surgery.

Authors:  George R Washko; Fernando J Martinez; Eric A Hoffman; Stephen H Loring; Raúl San José Estépar; Alejandro A Diaz; Frank C Sciurba; Edwin K Silverman; MeiLan K Han; Malcolm Decamp; John J Reilly
Journal:  Am J Respir Crit Care Med       Date:  2009-12-03       Impact factor: 21.405

9.  Spatially constrained random walk approach for accurate estimation of airway wall surfaces.

Authors:  Ziyue Xu; Ulas Bagci; Brent Foster; Awais Mansoor; Daniel J Mollura
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

10.  Optimal graph search based segmentation of airway tree double surfaces across bifurcations.

Authors:  Xiaomin Liu; Danny Z Chen; Merryn H Tawhai; Xiaodong Wu; Eric A Hoffman; Milan Sonka
Journal:  IEEE Trans Med Imaging       Date:  2012-10-10       Impact factor: 10.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.