Journal article
Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging
Physiological measurement, Vol.25(4), pp.837-847
08/2004
DOI: 10.1088/0967-3334/25/4/005
PMID: 15382825
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.
Details
- Title: Subtitle
- Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging
- Creators
- Melissa Suter - University of IowaJuerg Tschirren - University of IowaJoseph Reinhardt - University of IowaMilan Sonka - University of IowaEric Hoffman - University of IowaWilliam Higgins - University of IowaGeoffrey McLennan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Physiological measurement, Vol.25(4), pp.837-847
- DOI
- 10.1088/0967-3334/25/4/005
- PMID
- 15382825
- NLM abbreviation
- Physiol Meas
- ISSN
- 0967-3334
- eISSN
- 1361-6579
- Grant note
- CA 0394310-01 / NCI NIH HHS
- Language
- English
- Date published
- 08/2004
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186702602771
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