Literature DB >> 21508446

Dynamic modeling of lung tumor motion during respiration.

E Kyriakou1, D R McKenzie.   

Abstract

A dynamic finite element model of the lung that incorporates a simplified geometry with realistic lung material properties has been developed. Observations of lung motion from respiratory-gated computed tomography were used to provide a database against which the predictions of the model are assessed. Data from six patients presenting with lung tumors were processed to give sagittal sections of the lung containing the tumor as a function of the breathing phase. Statistical shape modeling was used to outline the diaphragm, the tumor volume and the thoracic wall at each breathing phase. The motion of the tumor in the superior-inferior direction was plotted against the diaphragm displacement. The finite element model employed a simplified geometry in which the lung material fills a rectangular volume enabling two-dimensional coordinates to be used. The diaphragm is represented as a piston, driving the motion. Plots of lung displacement against diaphragm displacement form hysteresis loops that are a sensitive indicator of the characteristics of the motion. The key parameters of lung material that determine the motion are the density and elastic properties of lung material and the airway permeability. The model predictions of the hysteresis behavior agreed well with observation only when lung material is modeled as viscoelastic. The key material parameters are suggested for use as prognostic indicators of the progression of disease and of changes arising from the response of the lung to radiation treatment.

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Year:  2011        PMID: 21508446     DOI: 10.1088/0031-9155/56/10/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  Prediction error and required internal margin provided for irregular respiratory movements: a phantom study.

Authors:  Nobuyoshi Fukumitsu; Haruko Numajiri; Kayoko Ohnishi; Masashi Mizumoto; Teruhito Aihara; Hitoshi Ishikawa; Toshiyuki Okumura; Koji Tsuboi; Toshiyuki Terunuma; Takeji Sakae; Hideyuki Sakurai
Journal:  Jpn J Radiol       Date:  2015-04-16       Impact factor: 2.374

2.  Modeling the respiratory motion of solitary pulmonary nodules and determining the impact of respiratory motion on their detection in SPECT imaging.

Authors:  Mark S Smyczynski; Howard C Gifford; Andre Lehovich; Joseph E McNamara; W Paul Segars; Eric A Hoffman; Benjamin M W Tsui; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2016-02-15       Impact factor: 1.679

3.  Validation of a CT-based motion model with in-situ fluoroscopy for lung surface deformation estimation.

Authors:  M Ranjbar; P Sabouri; S Mossahebi; A Sawant; P Mohindra; G Lasio; L D Timmie Topoleski
Journal:  Phys Med Biol       Date:  2021-02-16       Impact factor: 3.609

  3 in total

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