Soo-Kng Teo, Yuxin Yang, Eric Van Reeth, Shuai He, Peijun Chua, Chueh Loo Poh


  1. [1] A. Jemal, F. Bray, M.M. Center, J. Ferlay, E. Ward &D. Forman, Global Cancer Statistics, CA: A CancerJournal for Clinicians, 61(2), 2011, 69-90.425
  2. [2] M. Rosu & G.D. Hugo, Advances in 4D RadiationTherapy for Managing Respiration: Part II - 4D TreatmentPlanning, Zeitschrift für Medizinische Physik, 2012,
  3. [3] G. Li, D. Citrin, K. Camphausen, B. Mueller, C.Burman, B. Mychalczak, R.W. Miller & Y. Song,Advances in 4D medical imaging and 4D radiationtherapy, Technology in Cancer Research & Treatment,7(1), 2008, 67-82.
  4. [4] S.S. Iyengar, X. Li, H. Xu, S. Mukhopadhyay, N.Balakrishnan, A. Sawant & P. Iyengar, Toward MorePrecise Radiotherapy Treatment of Lung Tumors,Computer, 45(1), 2012, 59-65.
  5. [5] R. Werner, J. Ehrhardt & R. Schmidt, Patient-specificfinite element modeling of respiratory lung motion using4D CT image data, Medical Physics, 36(5), 2009, 1500-1511.
  6. [6] J Eom, X.G. Xu, S. De & C. Shi, Predictive modelingof lung motion over the entire respiratory cycle usingmeasured pressure-volume data, 4DCT images, and finite-element analysis, Medical Physics, 37(8), 2010, 4389-4400.
  7. [7] Y. Miyabe, Y. Narita, T. Mizowaki, Y. Matsuo, K.Takayama, k. Takahashi, S. Kaneko, N. Kawada, A.Maruhashi & M. Hiraoka, New algorithm to simulateorgan movement and deformation for four-dimensionaldose calculation based on a three-dimensional CT andfluoroscopy of the thorax, Medical Physics, 36(10), 2009,4328-4339.
  8. [8] G.D. Hugo & M. Rosu, Advances in 4D RadiationTherapy for Managing Respiration: Part I - 4D TreatmentPlanning, Zeitschrift für Medizinische Physik, 2012,
  9. [9] J. Biederer, C. Hintze, M. Fabel & J. Dinkel, MagneticResonance Imaging and Computed Tomography ofRespiratory Mechanics, Journal of Magnetic ResonanceImaging, 32(6), 2010, 1388-1397.
  10. [10] P. Villard, M. Beuve, V. Shariat, V. Baudet & F.Jaillet, Simulation of Lung Behavior with FiniteElements: Influence of Bio-Mechanical Parameters. InMEDIVIS’05: Proc. Third Int. Conf. Med. Inf.Visualisation - BioMedical Visualisation, Washington,DC, 2005, 9-14.
  11. [11] G. Wu, Q. Wang, J. Lian & D. Shen, Reconstructionof 4D-CT from a single free-breathing 3D-CT by spatial-temporal image registration. In IPMI'11: Proc. 22nd Int.conf. on Information processing in medical imaging,Kloster Irsee, Germany, 2011, 686-698.
  12. [12] W. Lu, J.H. Song, G.E. Christensen, P.J. Parikh, J.D.Bradley & D.A. Low, Modeling lung motion usingconsistent image registration in four-dimensionaltomography for radiation therapy. In SPIE Proc. MedicalImaging: Image Processing 61442L, San Diego, CA,2006.
  13. [13] H. Handels, R. Werner, R. Schmidt, T. Frenzel, W.Lu, D. Low & J. Ehrhardt, 4D medical imagecomputational and visualization of lung tumor mobility inspatio-temporal CT image data, International Journal ofMedical Informatics, 76(S3), 2007, S433-S439.
  14. [14] J. Dinkel, C. Hintze, R. Tetzlaff, P.E. Huber, K.Herfarth, J. Debus, H.U. Kauczor & C. Thieke, 4D-MRIanalysis of lung tumor motion in patients withhemidiaphragmatic paralysis, Radiotherapy & Oncology,91(3), 2009, 449-454.
  15. [15] J.C. Sieren, Y. Ohno, H. Koyama, K. Sugimura & G.McLennan, Recent Technological and ApplicationDevelopments in Computed Tomography and MagneticResonance Imaging for Improved Pulmonary NoduleDetection and Lung Cancer Staging, Journal of MagneticResonance Imaging, 32(6), 2010, 1353-1369.
  16. [16] K. Narayanan & Y. Karunakar, 3-D Reconstructionof Tumors in MRI Images, International Journal ofResearch and Reviews in Signal Acquisition andProcessing, 1(2), 2011, 24-29.
  17. [17] M.S. Pearce, J.A. Salotti, M.P. Little, K. McHugh, C.Lee, K.P. Kim, N.L. Howe, C.M. Ronckers, P.Rajaraman, A.W. Craft, L. Parker & A.B. González,Radiation exposure from CT scans in childhood andsubsequent leukemia and brain tumors: A retrospectivecohort study, The Lancet, 380(9840), 2012, 499-505.
  18. [18] P.A. Yushkevich, J. Piven, H.C. Hazlett, R.G. Smith,S. Ho, J.C. Gee & G. Gerig, User-guided 3D activecontour segmentation of anatomical structures:significantly improved efficiency and reliability,Neuroimage, 31(3), 2006, 1116-1128.
  19. [19] M. Kass, A. Witkin & D. Terzopoulos, Snakes:Active contour models, International journal of computervision, 1(4), 1988, 321-331.
  20. [20] J.P. Thirion, Image matching as a diffusion process:an analogy with Maxwell's demons, Medical ImageAnalysis, 2(3), 1998, 243-260.
  21. [21] S.A. Maas, B.J. Ellis, G.A. Ateshian & J.A. Weiss,FEBio: Finite Elements for Biomechanics, Journal ofBiomechanical Engineering, 134(1), 2012, 011005.

Important Links:

Go Back