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Application of the continuity equation to a breathing motion model
Author(s) -
Low Daniel A.,
Zhao Tianyu,
White Benjamin,
Yang Deshan,
Mutic Sasa,
Noel Camille E.,
Bradley Jeffrey D.,
Parikh Parag J.,
Lu Wei
Publication year - 2010
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3326969
Subject(s) - divergence (linguistics) , airflow , mathematics , vector field , breathing , mathematical analysis , equations of motion , physics , classical mechanics , geometry , medicine , philosophy , linguistics , anatomy , thermodynamics
Purpose: To quantitatively test a breathing motion model using the continuity equation and clinical data. Methods: The continuity equation was applied to a lung tissue and lung tumor free breathing motion model to quantitatively test the model performance. The model used tidal volume and airflow as the independent variables and the ratio of motion to tidal volume and motion to airflow were defined as α ⃗ and β ⃗ vector fields, respectively. The continuity equation resulted in a prediction that the volume integral of the divergence of the α ⃗ vector field was 1.11 for all patients. The integral of the divergence of the β ⃗ vector field was expected to be zero. Results: For 35 patients, the α ⃗ vector field prediction was 1.06 ± 0.14 , encompassing the expected value. For the β ⃗ vector field prediction, the average value was 0.02 ± 0.03 . Conclusions: These results provide quantitative evidence that the breathing motion model yields accurate predictions of breathing dynamics.