Equalized MR Grayscale Mapping
Anders Hagvall · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2008
MR images are crucial for health care today and the application areas are continuously increasing. A major problem regarding visualization of these data sets is that there is no absolute scale for the data values. Even for the same type of examination the scale varies from patient to patient, from time to time, and from scanner model to scanner model. This thesis addresses the challenge of automatically generating visualization parameters for these data sets, eqalizing visual appearance and interactions to diversities in data set distributions. Main objectives are to achieve reasonably good starting visualizations and to ensure consistent interaction behaviour.