Synthesis of texture from clinical images

摘要: Abstract Psychophysical tests are a major tool in medical imaging for accessing persons performance viewing images. Tests that use clinical images preferred as the results more representative of task but these require large numbers and accurate definition gold standard. In this paper methods synthesising textures were evaluated. One non-parametric method was found to be suitable although samples difficult synthesise. A modification, based on sample reordering developed. Results presented showing success approach range modalities. This may help facilitate psychophysical experiments where anatomical background noise is considered.