Thomas Lotz


  1. [1] S. S. Coughlin and D. U. Ekwueme. Breast canceras a global health concern. Cancer epidemiology,33(5):315–8, 2009.
  2. [2] M. Kriege, C. T. Brekelmans, C. Boetes, P. E.Besnard, H. M. Zonderland, I. M. Obdeijn, R. A.Manoliu, T. Kok, H. Peterse, M. M. Tilanus-Linthorst, S. H. Muller, S. Meijer, J. C. Oosterwijk,L. V. Beex, R. A. Tollenaar, H. J. de Koning, E. J.Rutgers, and J. G. Klijn. Efficacy of mri and mam-mography for breast-cancer screening in women witha familial or genetic predisposition. The New Englandjournal of medicine, 351(5):427–37, 2004.
  3. [3] R. Fazel, H. M. Krumholz, Y. Wang, J. S. Ross,J. Chen, H. H. Ting, N. D. Shah, K. Nasir, A. J. Ein-stein, and B. K. Nallamothu. Exposure to low-doseionizing radiation from medical imaging procedures.The New England journal of medicine, 361(9):849–57, 2009.
  4. [4] A. Asghari and M. K. Nicholas. Pain during mam-mography: the role of coping strategies. Pain, 108(1-2):170–9, 2004.
  5. [5] P. C. Gotzsche, O. J. Hartling, M. Nielsen, J. Broder-sen, and K. J. Jorgensen. Breast screening: the facts–or maybe not. BMJ (Clinical research ed, 338:b86,2009.
  6. [6] A. Samani, J. Zubovits, and D. Plewes. Elastic moduliof normal and pathological human breast tissues: aninversion-technique-based investigation of 169 sam-ples. Physics in medicine and biology, 52(6):1565–76, 2007.
  7. [7] Daniel B. Kopans. Breast imaging. LippincottWilliams & Wilkins, Philadelphia, 2nd edition, 1998.
  8. [8] A. Peters, J. G. Chase, and E. E. Van Houten. Estimat-ing elasticity in heterogeneous phantoms using digitalimage elasto-tomography. Medical and biological en-gineering and computing, 47(1):67–76, 2009.
  9. [9] R.G. Brown, C.E. Hann, J.G. Chase, and X.Q. Chen.Vision-based 3d surface motion capture for the dietbreast cancer screening system. In 15th International227Conference on Mechatronics and Machine Vision inPractice (M2VIP), pages 674–679, Auckland, NewZealand, 2008 of Conference.
  10. [10] R.G. Brown, C.E. Hann, J.G. Chase, and L.E. Ray.Discrete colour-based euclidean-invariant signaturesfor feature tracking in a diet breast cancer screeningsystem. In SPIE Medical Imaging, volume 6511, SanDiego, USA, 2007 of Conference. SPIE.
  11. [11] T. Lotz, P. D. Simpson, D. Stocker, C. E. Hann, andJ. G. Chase. In vitro evaluation of surface based non-invasive breast cancer screening with digital imagebased elasto tomography (diet). In IEEE EMBS, vol-ume 1, pages 3077–80, Buenos Aires, 2010.
  12. [12] T. Lotz, N. Muller, C. E. Hann, and J. G. Chase.Minimal elastographic modeling of breast cancer formodel based tumor detection in a digital image elastotomography (diet) sytem. 2011.
  13. [13] A. Peters, J. G. Chase, and E. E. Van Houten. Dig-ital image elasto-tomography: combinatorial and hy-brid optimization algorithms for shape-based elasticproperty reconstruction. IEEE transactions on bio-medical engineering, 55(11):2575–83, 2008.
  14. [14] Jimin He and Zhi-Fang Fu. Modal analysis. Butter-worth Heinemann, 2001.
  15. [15] Tony L. Schmitz. Machining dynamics: frequency re-sponse to improved productivity. Springer US, 2009.
  16. [16] J. S. Michaelson, M. Silverstein, J. Wyatt, G. Weber,R. Moore, E. Halpern, D. B. Kopans, and K. Hughes.Predicting the survival of patients with breast carci-noma using tumor size. Cancer, 95(4):713–23, 2002.

Important Links:

Go Back