Synthesis of biomedical tissue

Jannick P. Rolland, Alexei Goon, Eric Clarkson, Liyun Yu

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Image quality assessment in medical imaging requires realistic textured backgrounds that can be statistically characterized for the computation of model observers' performance. We present a modeling framework for the synthesis of texture as well as a statistical analysis of both sample and synthesized textures. The model employs a two-component image-decomposition consisting of a slowly, spatially varying mean-background and a residual texture image. Each component is synthesized independently. The technique is demonstrated using radiological breast tissue. For statistical characterization, we compute the two-point probability density functions for the real and synthesized breast tissue textures in order to provide a complete characterization and comparison of their second-order statistics. Similar computations for other textures yield further insight into the statistical properties of these types of random fields.

Original languageEnglish (US)
Pages (from-to)85-90
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1998
EventMedical Imaging 1998: Image Perception - San Diego, CA, United States
Duration: Feb 25 1998Feb 25 1998


  • First and second order statistics
  • Medical backgrounds
  • Random fields
  • Texture synthesis
  • Textured backgrounds

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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