3D TEXTURE SYNTHESIS FOR MODELING REALISTIC ORGANIC TISSUES

Juan-Carlos Prieto, Chantal Revol-Muller, Françoise Peyrin, Patrizia Camelliti, Christophe Odet

Abstract

Virtual anatomy models show in detail characteristics of the human body systems. These models are based in surface representation of the structures and lack information from the interior of the object. Creating models that represent the surface, the interior of the object and are able to provide pathological information is the current challenge of research in life sciences. We present a method to synthesize realistic three-dimensional organic tissues starting from bidimensional textured multi-channel samples. The method relies on an energy function that measures the difference between the reference texture and the synthesized object, through a distance metric that compares perpendicular neighborhoods in the object to neighborhoods in the sample. When this function is minimized by IRLS, the result is a solid object that resembles the sample at every slice. In some cases, the optimization might be aided by adding the feature distance transform, calculated from a given binary mask. This allows to code large textured areas. Multiple textures can also be provided to the optimization in order to create anistropic textures. We apply our method starting from various micrometric images such as histology images or slices of Synchrotron Radiation Computed Micro-Tomography (SRìCT) images. A major advantage of our method is to extend 2D histological information to a 3D representation. We demonstrate the accuracy of the generated texture by comparing statistical and morphological parameters computed from the synthetic object with those obtained from the real object underlying the reference images.

References

  1. Heeger, D. J. and Bergen, J. R. (1995). Pyramid-based texture analysis/synthesis. In Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, SIGGRAPH 7895, pages 229-238, New York, NY, USA. ACM.
  2. Hipp, J. and Simmons, C. (1997). Method-based differences in the automated analysis of the threedimensional morphology of trabecular bone. Journal of Bone and Mineral Research, 12.
  3. Kopf, J., Fu, C.-W., Cohen-Or, D., Deussen, O., Lischinski, D., and Wong, T.-T. (2007). Solid texture synthesis from 2d exemplars. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007), 26(3):2:1-2:9.
  4. Kwatra, V., Essa, I., Bobick, A., and Kwatra, N. (2005). Texture optimization for example-based synthesis. ACM Transactions on Graphics, SIGGRAPH 2005.
  5. Lefebvre, S. and Hoppe, H. (2006). Appearance-space texture synthesis. ACM Trans. Graph., 25:541-548.
  6. Odgaard, A. and Gundersen, H. (1993). Quantification of connectivity in cancellous bone, with special emphasis on 3d reconstructions. Bone, 14:173-182.
  7. Pizer, S. M., Fletcher, P. T., Joshi, S., Thall, A., Chen, J. Z., Fridman, Y., Fritsch, D. S., Gash, A. G., Glotzer, J. M., Jiroutek, M. R., Lu, C., Muller, K. E., Tracton, G., Yushkevich, P., and Chaney, E. L. (2003). Deformable m-reps for 3d medical image segmentation. Int. J. Comput. Vision, 55:85-106.
  8. Revol-Muller, C., Benoit-Cattin, H., Carillon, Y., Odet, C., Briguet, A., and Peyrin, F. (2002). Bone mri segmentation assessment based on synchrotron radiation computed microtomography. IEEE Trans Nucl Sci, 49(1):220-224.
  9. Rolland, J. P., Vo, V., Bloss, B., and Abbey, C. K. (2000). Fast algorithms for histogram matching: application to texture synthesis. Journal of Electronic Imaging, 9:39-45.
Download


Paper Citation


in Harvard Style

Prieto J., Revol-Muller C., Peyrin F., Camelliti P. and Odet C. (2012). 3D TEXTURE SYNTHESIS FOR MODELING REALISTIC ORGANIC TISSUES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 60-65. DOI: 10.5220/0003863800600065


in Bibtex Style

@conference{visapp12,
author={Juan-Carlos Prieto and Chantal Revol-Muller and Françoise Peyrin and Patrizia Camelliti and Christophe Odet},
title={3D TEXTURE SYNTHESIS FOR MODELING REALISTIC ORGANIC TISSUES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={60-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003863800600065},
isbn={978-989-8565-04-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - 3D TEXTURE SYNTHESIS FOR MODELING REALISTIC ORGANIC TISSUES
SN - 978-989-8565-04-4
AU - Prieto J.
AU - Revol-Muller C.
AU - Peyrin F.
AU - Camelliti P.
AU - Odet C.
PY - 2012
SP - 60
EP - 65
DO - 10.5220/0003863800600065