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Novel Methods for the Visualization and Analysis of Functional Maps in Cortex

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Results 175 7.3.1.7     Quality Calculation Stage #           Areas " All Visual Areas    V1 V2 V3 Initial   0.91335 0.95679 0.93979 0.95878 Very-low Res. 0.9333 0.96725 0.95373 0.96833 Low Resolution 0.96196 0.9839 0.97344 0.97873 High Resolution 1 1 1 1 Table 2: Quality for measured reference image; two iterations were done on very-low-resolution images, three iterations on low-resolution images, and two iterations on high-resolution images (cf., Figure 51). Here, the high-resolution visual-area ROIs were defined as the gold standard because the re- sult produced was inspected by several human experts who found it to be very good. There- fore, the qualities of the visual-area ROIs after high-resolution registration must be one. As for the artificially created reference image in section 7.2, the quality measure increases during the matching process. In contrast to the energy, the quality for the same visual areas at different stages can be compared. In general, the energies of the same deformation will be different for different resolutions. One reason for this is that the energy weights must not be equal for dif- ferent resolutions. In addition, low-resolution images are blurred and the results are therefore usually  different  even  if  the  corresponding  energy  weights  for  the  different  resolutions  are equal. The qualities between different flat data sets cannot easily be compared because the qual- ity is based on the gold standard ROIs. For example, from the quality values in Table 1 and Table 2, it cannot be inferred that the resulting visual-area ROIs are better here than for the other case.  
  
The Biology of Cancer
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