Patient-specific biomechanical model for the prediction of lung motion from 4-D CT images

Fuerst B, Mansi T, Carnis F, Saelzle M, Zhang J, Declerck J, Boettger T, Bayouth J, Navab N, Kamen A (2015)

Publication Type: Journal article

Publication year: 2015

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 34

Pages Range: 599-607

Article Number: 6926856

Journal Issue: 2

DOI: 10.1109/TMI.2014.2363611

Abstract

This paper presents an approach to predict the deformation of the lungs and surrounding organs during respiration. The framework incorporates a computational model of the respiratory system, which comprises an anatomical model extracted from computed tomography (CT) images at end-expiration (EE), and a biomechanical model of the respiratory physiology, including the material behavior and interactions between organs. A personalization step is performed to automatically estimate patient-specific thoracic pressure, which drives the biomechanical model. The zone-wise pressure values are obtained by using a trust-region optimizer, where the estimated motion is compared to CT images at end-inspiration (EI). A detailed convergence analysis in terms of mesh resolution, time stepping and number of pressure zones on the surface of the thoracic cavity is carried out. The method is then tested on five public datasets. Results show that the model is able to predict the respiratory motion with an average landmark error of 3.40 ± 1.0 mm over the entire respiratory cycle. The estimated 3-D lung motion may constitute as an advanced 3-D surrogate for more accurate medical image reconstruction and patient respiratory analysis.

Involved external institutions

Siemens GB United Kingdom (GB) Siemens AG, Healthcare Sector DE Germany (DE) University of Wisconsin - Madison US United States (USA) (US) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Fuerst, B., Mansi, T., Carnis, F., Saelzle, M., Zhang, J., Declerck, J.,... Kamen, A. (2015). Patient-specific biomechanical model for the prediction of lung motion from 4-D CT images. IEEE Transactions on Medical Imaging, 34(2), 599-607. https://doi.org/10.1109/TMI.2014.2363611

MLA:

Fuerst, Bernhard, et al. "Patient-specific biomechanical model for the prediction of lung motion from 4-D CT images." IEEE Transactions on Medical Imaging 34.2 (2015): 599-607.

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