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

IEEE Transactions on Medical Imaging

Volumn 34, Issue 2, 2015, Pages 599-607

  Fuerst, Bernhard ^a,b   Mansi, Tommaso ^a   Carnis, Francois ^a   Sälzle, Martin ^a   Zhang, Jingdan ^a   Declerck, Jerome ^d   Boettger, Thomas ^d   Bayouth, John ^e   Navab, Nassir ^c   Kamen, Ali ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^d SIEMENS AG   (Germany)

^e UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Biomechanical modeling; lung; motion prediction; personalization; respiratory motion

Indexed keywords

BIOLOGICAL ORGANS; BIOMECHANICS; FORECASTING; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; MOTION ANALYSIS; RESPIRATORY MECHANICS; RESPIRATORY SYSTEM;

BIO-MECHANICAL MODELS; LUNG; MOTION PREDICTION; PERSONALIZATIONS; RESPIRATORY MOTIONS;

COMPUTERIZED TOMOGRAPHY;

ANATOMIC MODEL; ARTICLE; BREATHING MECHANICS; BREATHING PATTERN; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAPHRAGM; FOUR DIMENSIONAL COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE RECONSTRUCTION; LUNG; PREDICTION; RESPIRATORY FUNCTION; THORAX; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BIOMECHANICS; BREATHING; COMPUTER SIMULATION; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; IMAGE PROCESSING; MOVEMENT (PHYSIOLOGY); PERSONALIZED MEDICINE; PHYSIOLOGY; PROCEDURES;

BIOMECHANICAL PHENOMENA; COMPUTER SIMULATION; FOUR-DIMENSIONAL COMPUTED TOMOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INDIVIDUALIZED MEDICINE; LUNG; MODELS, BIOLOGICAL; MOVEMENT; RESPIRATION;

EID: 84922258765     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2363611     Document Type: Article

References (39)

1. L. Dawson and D. Jaffray, "Advances in image-guided radiation therapy," J. Clin. Oncol., vol. 25, no. 8, pp. 938-946, 2007.
2. J. Ehrhardt, R. Werner, D. Säring, T. Frenzel, W. Lu, D. Low, and H. Handels, "An optical flow based method for improved reconstruction of 4-D CT data sets acquired during free breathing," Med. Phys., vol. 34, pp. 711-721, 2007.
3. S. Vedam, P. Keall, V. Kini, H. Mostafavi, H. Shukla, and R.Mohan, "Acquiring a four-dimensional computed tomography dataset using an external respiratory signal," Phys.Med. Biol., vol. 48, pp. 45-62, 2003.
4. J.McClelland, J. Blackall, S. Tarte, A. Chandler, S. Hughes, S. Ahmad, D. Landau, and D. Hawkes, "A continuous 4-D motion model from multiple respiratory cycles for use in lung radiotherapy," Med. Phys., vol. 33, pp. 3348-3358, 2006.
5. J. Hinkle,P. Fletcher, B.Wang,B. Salter, and S. Joshi, "4-Dmap image reconstruction incorporating organ motion," in Information Processing in Medical Imaging. New York: Springer, 2009, pp. 676-687.
6. N. Wink, C. Panknin, and T. Solberg, "Phase versus amplitude sorting of 4-D-CT data," J. Appl. Clin. Med. Phys., vol. 7, no. 1, pp. 77-85, 2006.
7. C. Wachinger, M. Yigitsoy, E. Rijkhorst, and N. Navab, "Manifold learning for image-based breathing gating in ultrasound and MRI," Med. Image Anal., pp. 806-818, 2011.
8. T. Zhang, R. Jeraj, H. Keller, W. Lu, G. Olivera, T. Mackie, and B. Paliwal, "Treatment plan optimization incorporating respiratory motion," Med. Phys., vol. 31, pp. 1576-1586, 2004.
9. S. Nehmeh, Y. Erdi, C. Ling, K. Rosenzweig, O. Squire, L. Braban, E. Ford, K. Sidhu, G. Mageras, S. Larson, and J. L. Humm, "Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer," Med. Phys., vol. 29, pp. 366-371, 2002.
10. A. Fauci, D. Kasper, L. D. E. Braunwald, and J. Jameson, Harrison's Principles of Internal Medicine. New York: McGraw Hill Medical, 2008, vol. 2.
11. H.Gray, T. Pick, and R. Howden, Gray's Anatomy: Anatomy, Descriptive and Surgical. Philadelphia, PA: Running Press, 1974.
12. J. McClelland, D. J. Hawkes, T. Schaeffter, and A. P. King, "Respiratory motion models: A review," Med. Image Anal., vol. 17, no. 1, pp. 19-42, 2013.
13. B. Fuerst, T. Mansi, J. Zhang, P. Khurd, J. Declerck, T. Boettger, N. Navab, J. Bayouth, D. Comaniciu, and A. Kamen, "A personalized biomechanical model for respiratory motion prediction," Med. Image Comput. Comput.-Assist. Intervent., pp. 566-573, 2012.
14. B. Fuerst, T. Mansi, P. Khurd, J. Zhang, J. Declerck, T. Boettger, N. Navab, J. Bayouth, andA.Kamen, "Patient-specific finite-element simulation of respiratory mechanics for radiotherapy guidance, a first evaluation study," in Proc. 9th IEEE Int. Symp. Biomed. Imag., 2012, pp. 1212-1215.
15. M. Georg, R. Souvenir, A. Hope, and R. Pless, "Simultaneous data volume reconstruction and pose estimation from slice samples," in Proc. IEEE Conf. Comput. Vis. Pattern Recogniti., 2008, pp. 1-6.
16. A. Schmidt-Richberg, R.Werner,H. Handels, and J. Ehrhardt, "Estimation of slipping organ motion by registration with direction-dependent regularization," Med. Image Anal., vol. 16, pp. 150-159, 2011.
17. A. King, C. Buerger, C. Tsoumpas, P. Marsden, and T. Schaeffter, "Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator," Med. Image Anal., vol. 16, no. 1, pp. 252-264, 2012.
18. J. Ehrhardt, R. Werner, A. Schmidt-Richberg, B. Schulz, and H. Handels, "Generation of a mean motion model of the lung using 4-D-CT image data," in Eurograph. Workshop Vis. Comput. Biomed., 2008, pp. 69-76.
19. M. Dawood, F. Buther, X. Jiang, and K. Schafers, "Respiratory motion correction in 3-D PET data with advanced optical flow algorithms," IEEE Trans. Med. Imag., vol. 27, no. 8, pp. 1164-1175, Aug. 2008.
20. A. Schmidt-Richberg, J. Ehrhardt, R. Werner, and H. Handels, "Integrierte segmentierung und trajektorienberechnung mittels diffeomorpher registrierung in räumlich-zeitlichen CT-Bildfolgen," in Bildverarbeitung für die Medizin, 2009, vol. 16, pp. 182-186.
21. L. Risser, F. Vialard,H. Baluwala, and J. Schnabel, "Piecewise-diffeomorphic image registration: Application to the motion estimation between 3-D CT lung images with sliding conditions," Med. Image Anal., vol. 17, no. 2, pp. 182-193, 2013.
22. A. Al-Mayah, J. Moseley, M. Velec, and K. Brock, "Sliding characteristic and material compressibility of human lung: Parametric study and verification," Med. Phys., vol. 36, pp. 4625-4633, 2009.
23. R. Werner, J. Ehrhardt, R. Schmidt, and H. Handels, "Patient-specific finite elementmodeling of respiratory lung motion using 4-D CT image data," Med. Phys., vol. 36, pp. 1500-1511, 2009.
24. J. West and F. Matthews, "Stresses, strains, and surface pressures in the lung caused by its weight," J. Appl. Physiol., vol. 32, no. 3, pp. 332-345, 1972.
25. A. Al-Mayah, J.Moseley, and K. Brock, "Contact surface and material nonlinearity modeling of human lungs," Phys. Med. Biol., vol. 53, pp. 305-317, 2008.
26. P. Villard, M. Beuve, B. Shariat, V. Baudet, and F. Jaillet, "Simulation of lung behaviour with finite elements: Influence of bio-mechanical parameters," in , 2005, pp. 9-14.
27. P. Risholm, J. Ross, G. Washko, and W. Wells, "Probabilistic elastography: Estimating lung elasticity," in Information Processing in Medical Imaging. New York: Springer, 2011, pp. 699-710.
28. Y. Zeng, D. Yager, and Y. Fung, "Measurement of the mechanical properties of the human lung tissue," J. Biomechan. Eng., vol. 109, no. 2, pp. 169-174, 1987.
29. T. Kohlberger, M. Sofka, J. Zhang, N. Birkbeck, J. Wetzl, J. Kaftan, J. Declerck, and S. Zhou, "Automatic multi-organ segmentation using learning-based segmentation and level set optimization," in Medical Image Computing and Computer-Assisted Intervention. NewYork: Springer, 2011, pp. 338-345.
30. D. Boltcheva,M. Yvinec, and J.-D. Boissonnat, "Mesh generation from 3-D multi-material images," in Medical Image Computing and Computer-Assisted Intervention. New York: Springer, 2009, pp. 283-290.
31. E.Wilson and K. Bathe, Numerical Methods in Finite Element Analysis. Upper Saddle River, NJ: Prentice-Hall, 1976.
32. M. Nesme, Y. Payan, and F. Faure, "Efficient, physically plausible finite elements," Eurographics 2005 Short Papers, 2005.
33. J.-G. Im, W. Webb, A. Rosen, and G. Gamsu, "Costal pleura: Appearances at high-resolution CT," Radiology, vol. 171, no. 1, pp. 125-131, 1989.
34. M. Powell, "Developments of NEWUOA for minimization without derivatives," IMA J. Numerical Anal., vol. 28, no. 4, pp. 649-664, 2008.
35. J. Allard, S. Cotin, F. Faure, P.-J. Bensoussan, F. Poyer, C. Duriez, H. Delingette, and L. Grisoni, "Sofa an open source framework for medical simulation," in Medicine Meets Virtual Reality, Long Beach, CA, Feb. 2007.
36. E. Castillo, R. Castillo, J. Martinez, M. Shenoy, and T. Guerrero, "Four-dimensional deformable image registration using trajectory modeling," Phys. Med. Biol., vol. 55, no. 1, pp. 305-313, 2010.
37. J. Eom, C. Shi, X. Xu, and S. De, "Modeling respiratory motion for cancer radiation therapy based on patient-specific 4DCT data," in Medical Image Computing and Computer-Assisted Intervention. New York: Springer, 2009, pp. 348-355.
38. M.Betke,H.Hong, D. Thomas, C. Prince, and J. P. Ko, "Landmark detection in the chest and registration of lung surfaces with an application to nodule registration," Med. Image Anal., vol. 7, no. 3, pp. 265-281, 2003.
39. J. Ehrhardt, R. Werner, A. Schmidt-Richberg, and H. Handels, "Automatic landmark detection and non-linear landmark-and surface-based registration of lung CT images," Med. Image Anal. Clinic - A Grand Challenge, MICCAI 2010, pp. 165-174, 2010.