Literature DB >> 15382825

Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging.

Melissa Suter1, Juerg Tschirren, Joseph Reinhardt, Milan Sonka, Eric Hoffman, William Higgins, Geoffrey McLennan.   

Abstract

Defining the healthy human airway is important in enhancing our understanding of pulmonary disease states such as inflammation and cancer. The structure of the human airway, both static and dynamic, can be assessed using multi-detector CT (MDCT) scanning. This modality also allows for the evaluation of structures outside of the airway. The airway wall can be directly visualized using CCD chip high-resolution color optical imaging through endoscopy allowing bronchial wall evaluation by traditional biopsy methods, as well as by newer optically based strategies. We suggest that these two imaging modalities, MDCT and optical imaging, provide complementary information about the normal airway, and the airway in various diseases. Methods for evaluating the human airway using MDCT images are presented facilitating automatic airway segmentation, branchpoint finding and airway dimension analysis. The airway wall color is objectively evaluated as an important surrogate for airway wall inflammation and cancer formation, and the integration of the color endoscopic information into the MDCT scan data set is currently ongoing. The amalgamation of these two digital imaging modalities appears increasingly useful for enabling biopsy techniques, and for relating structure and function of the airway. In addition, these developments may be progressively more useful in understanding the normal airway structure and function, for defining airway diseases patterns and for guiding biopsy and therapeutic procedures.

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Mesh:

Year:  2004        PMID: 15382825     DOI: 10.1088/0967-3334/25/4/005

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 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

2.  Automatic definition of the central-chest lymph-node stations.

Authors:  Kongkuo Lu; Pinyo Taeprasartsit; Rebecca Bascom; Rickhesvar P M Mahraj; William E Higgins
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-02-27       Impact factor: 2.924

3.  New imaging approaches for understanding lung cancer response to treatment.

Authors:  J de Ryk; E Namati; J Weydert; J Thiesse; G McLennan
Journal:  Clin Pharmacol Ther       Date:  2008-10       Impact factor: 6.875

4.  Development and validation of automated 2D-3D bronchial airway matching to track changes in regional bronchial morphology using serial low-dose chest CT scans in children with chronic lung disease.

Authors:  Pavithra Raman; Raghav Raman; Beverley Newman; Raman Venkatraman; Bhargav Raman; Terry E Robinson
Journal:  J Digit Imaging       Date:  2009-09-15       Impact factor: 4.056

Review 5.  The porcine lung as a potential model for cystic fibrosis.

Authors:  Christopher S Rogers; William M Abraham; Kim A Brogden; John F Engelhardt; John T Fisher; Paul B McCray; Geoffrey McLennan; David K Meyerholz; Eman Namati; Lynda S Ostedgaard; Randall S Prather; Juan R Sabater; David Anthony Stoltz; Joseph Zabner; Michael J Welsh
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-05-16       Impact factor: 5.464

6.  Efficient Bronchoscopic Video Summarization.

Authors:  Patrick D Byrnes; William Evan Higgins
Journal:  IEEE Trans Biomed Eng       Date:  2018-07-24       Impact factor: 4.538

  6 in total

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