Literature DB >> 8756944

Virtual bronchoscopy: segmentation method for real-time display.

R M Summers1, D H Feng, S M Holland, M C Sneller, J H Shelhamer.   

Abstract

Computed tomography (CT) data sets obtained in 14 patients were used in a segmentation method for virtual bronchoscopy (VB). The method constrained the distance of propagation of a region-growing algorithm. The resulting three-dimensional bronchial model was a faithful representation of the source CT data and could be manipulated in real time at frame rates of one to two frames per second. Preliminary data showed that 90% of bronchi (up to third order) measureable on multiplanar CT reformations were also measurable at VB. The bronchial diameters measured at VB were within 1 mm of those measured on multi-planar reconstructions of the CT data.

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Year:  1996        PMID: 8756944     DOI: 10.1148/radiology.200.3.8756944

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  Fully automated system for three-dimensional bronchial morphology analysis using volumetric multidetector computed tomography of the chest.

Authors:  Raman Venkatraman; Raghav Raman; Bhargav Raman; Richard B Moss; Geoffrey D Rubin; Lawrence H Mathers; Terry E Robinson
Journal:  J Digit Imaging       Date:  2006-06       Impact factor: 4.056

Review 2.  Cinematic rendering enhancements to virtual bronchoscopy: assessment of emergent tracheal pathology.

Authors:  Cheng Ting Lin; Steven Rowe; Linda C Chu; Hannah Recht; Elliot K Fishman
Journal:  Emerg Radiol       Date:  2020-07-02

3.  Diagnostic potential of virtual bronchoscopy: advantages in comparison with axial CT slices, MPR and mIP?

Authors:  U Rapp-Bernhardt; T Welte; W Doehring; S Kropf; T M Bernhardt
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

4.  Computer-based route-definition system for peripheral bronchoscopy.

Authors:  Michael W Graham; Jason D Gibbs; William E Higgins
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

5.  Optimize Transfer Learning for Lung Diseases in Bronchoscopy Using a New Concept: Sequential Fine-Tuning.

Authors:  Tao Tan; Zhang Li; Haixia Liu; Farhad G Zanjani; Quchang Ouyang; Yuling Tang; Zheyu Hu; Qiang Li
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-16       Impact factor: 3.316

6.  3D MDCT-based system for planning peripheral bronchoscopic procedures.

Authors:  Jason D Gibbs; Michael W Graham; William E Higgins
Journal:  Comput Biol Med       Date:  2009-02-12       Impact factor: 4.589

7.  Virtual and fiber-optic bronchoscopy in patients with indication for tracheobronchial evaluation.

Authors:  Fulya Adali; Atilla Uysal; Sibel Bayramoglu; Nurten Turan Guner; Gulizar Yilmaz; Tan Cimilli
Journal:  Ann Thorac Med       Date:  2010-04       Impact factor: 2.219

8.  Localization and shape of stenoses in central lung carcinoma - Sensitivity and precision of MDCT VB and FB.

Authors:  Mitko Atanasov Mitev; Evelin Dosev Obretenov; Daniel Georgiev Valchev
Journal:  Acta Clin Croat       Date:  2020-06       Impact factor: 0.780

9.  Detection of airway anomalies in pediatric patients with cardiovascular anomalies with low dose prospective ECG-gated dual-source CT.

Authors:  Hui Jiao; Zhuodong Xu; Lebin Wu; Zhaoping Cheng; Xiaopeng Ji; Hai Zhong; Chen Meng
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

  9 in total

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