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Werner, R., Ehrhardt, J., Schmidt-Richberg, A., Heiβ, A. and Handels, H. (2010) Estimation of Motion Fields by Non-Linear Registration for Local Lung Motion Analysis in 4D CT Image Data. International Journal of Computer Assisted Radiology and Surgery, 5, 595-605.
http://dx.doi.org/10.1007/s11548-010-0418-7

has been cited by the following article:

• TITLE: A Biomechanical Model of Human Lung Deformation Utilizing Patient-Specific Elastic Property

  AUTHORS: Behnaz Seyfi, Anand P. Santhanam, Olusegun J. Ilegbusi

  KEYWORDS: Biomechanical Model, Lung Deformation, Image Registration

  JOURNAL NAME: Journal of Cancer Therapy, Vol.7 No.6, June 20, 2016

  ABSTRACT: A biomechanical model is developed and validated for breathing-induced deformation of human lung. Specifically, a subject-specific poro-elastic lung model is used to predict the displacement over the breathing cycle and compared with displacement derived from high resolution image registration. The lung geometry is derived from four-dimensional computed tomography (4DCT) scan dataset of two human subjects. The heterogeneous Young’s modulus is estimated using inverse analysis method. The numerical simulation uses fluid-structure interaction technique to solve the coupled airflow equations and structural dynamics of the lung tissue. The modelled displacement is validated by comparison with the 4DCT registration results.