Fully automated system for three-dimensional bronchial morphology analysis using volumetric multidetector computed tomography of the chest.
Recent advancements in computed tomography (CT) have enabled quantitative assessment of severity and progression of large airway damage in chronic pulmonary disease. The advent of fast multidetector computed tomography scanning has allowed the acquisition of rapid, low-dose 3D volumetric pulmonary s...
| Publicado en: | Journal of Digital Imaging Vol. 19; no. 2; pp. 132 - 140 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2006
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106169708&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106169708 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2006 vid: 19 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 106169708 2009257131 10.1007/s10278-005-9240-0 NLM16341571 106169708 ppf: 132 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Fully automated system for three-dimensional bronchial morphology analysis using volumetric multidetector computed tomography of the chest. aug: au: Venkatraman R Raman R Raman B Moss RB Rubin GD Mathers LH Robinson TE affil: Department of Pediatric Pulmonology, Stanford University School of Medicine, Stanford, CA 94305, USA. sug: subj: Artificial Intelligence Bronchography Methods Diagnostic Imaging Methods Radiographic Image Interpretation, Computer-Assisted Methods Tomography, X-Ray Computed Methods Algorithms Radiology Information Systems Software Systems Integration User-Computer Interface ab: Recent advancements in computed tomography (CT) have enabled quantitative assessment of severity and progression of large airway damage in chronic pulmonary disease. The advent of fast multidetector computed tomography scanning has allowed the acquisition of rapid, low-dose 3D volumetric pulmonary scans that depict the bronchial tree in great detail. Volumetric CT allows quantitative indices of bronchial airway morphology to be calculated, including airway diameters, wall thicknesses, wall area, airway segment lengths, airway taper indices, and airway branching patterns. However, the complexity and size of the bronchial tree render manual measurement methods impractical and inaccurate. We have developed an integrated software package utilizing a new measurement algorithm termed mirror-image Gaussian fit that enables the user to perform automated bronchial segmentation, measurement, and database archiving of the bronchial morphology in high resolution and volumetric CT scans and also allows 3D localization, visualization, and registration. pubtype: Academic Journal doctype: diagnostic images pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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