2005
DOI: 10.1007/s11095-005-6628-y
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Airway Identification Within Planar Gamma Camera Images Using Computer Models of Lung Morphology

Abstract: The computer simulations are designed to serve as templates that can assist in the interpretation of aerosol deposition data from scintigraphy images.

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Cited by 14 publications
(6 citation statements)
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“…Other approaches to refine the definition and quantification of regions of interest to reflect underlying anatomical lung structures more accurately have incorporated anatomically realistic 3D computer-simulated models of lung airways derived from computed tomography (CT) and/or magnetic resonance imaging (MRI) of human subjects to improve the quantification of pulmonary aerosol deposition from 2D scintigraphic images. (28)(29)(30)(31) Martonen and colleagues, (28,29) derived their airway dimensions from human morphometric data with lung boundaries formulated from gamma scintigraphy protocols. They applied their model in the interpretation of planar gamma camera images by overlaying C, I, and P regions of interest on the model to calculate the proportion of alveolated airways in each individual region.…”
Section: Regions Of Interest In Gamma Scintigraphymentioning
confidence: 99%
“…Other approaches to refine the definition and quantification of regions of interest to reflect underlying anatomical lung structures more accurately have incorporated anatomically realistic 3D computer-simulated models of lung airways derived from computed tomography (CT) and/or magnetic resonance imaging (MRI) of human subjects to improve the quantification of pulmonary aerosol deposition from 2D scintigraphic images. (28)(29)(30)(31) Martonen and colleagues, (28,29) derived their airway dimensions from human morphometric data with lung boundaries formulated from gamma scintigraphy protocols. They applied their model in the interpretation of planar gamma camera images by overlaying C, I, and P regions of interest on the model to calculate the proportion of alveolated airways in each individual region.…”
Section: Regions Of Interest In Gamma Scintigraphymentioning
confidence: 99%
“…(3,4,11) Previous studies have proposed methods to use volumetric 3D information to evaluate the deposition of an aerosol obtained through 2D imaging methods. Schroeter et al (23) described a method, where detailed airway dimensions and lung boundaries obtained for a standard lung model were used to interpret data obtained from scintigraphy deposition images. Using the 3D model they conducted simulations of 2D projections on a planar view to evaluate the deposition pattern from scintigraphy scans.…”
Section: Discussionmentioning
confidence: 99%
“…Obviously, the planar image of C contains a significant number of acini. Fortunately, Schroeter et al 26 published a translation map derived from a two‐dimensional (2D) projection of a three‐dimensional (3D) mathematical generation‐level model of the lung that maps the contribution of each airway generation to the different ROIs. Such a map makes it possible to transform generation‐level deposition to expected activity in the ROIs.…”
Section: Presentationsmentioning
confidence: 99%
“…Models are often submitted to the FDA with inadequate demonstration of model credibility, where verification and validation activities may be absent or insufficient, and validation may only be performed for one drug product and thus may not fully demonstrate the capacity of the model to consider formulation differences. For models that predict regional deposition, it was clarified that comparator data from either gamma scintigraphy or single photon emission computed tomography (SPECT)/computed tomography (CT) in vivo studies are preferred and that the mismatch of 2D in vivo data with 3D predictions may be addressed by using a mapping procedure such as the one described in Schroeter et al 26 Another common issue is that regional deposition models may not justify the location of the division between the C and P lung regions, where justification based on literature data 50,63 should be used to support the division of lung regions. Some regional deposition models have been proposed for products such as solution-based MDIs or DPIs, but they did not include model components to account for relevant physical processes such as evaporation or agglomeration and deagglomeration.…”
Section: Regionmentioning
confidence: 99%
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