New remote branch pushed: bug-16236-statistics-testing

New remote branch pushed: bug-16236-statistics-calculator-ctd

The mitkImageStatisticsCalculator has now the ability to calculate statistics in a region with the largest appearance of intensities named hotspot.
To find the hottest spot in an image we need to calculate the average value at each position. This is done by the itkFFTConvolutionImageFilter which gets as input an image and a supersampled spherical kernel image. The kernel image
contains non-integer-values which reflects the volume part that is contained in the sphere (by calling GenerateHotspotSearchConvolutionKernel()).
To find the location of the hotspot we call CalculateExtremaWorld() which returns the maximum value and corresponding index in theoutput-image of the convolution-filter.
Next step is to generate a spherical mask which is needed to calculate the statistics in the hotspot. First of all we have to determine the size of the mask (depending on the radius) and filling then the voxels by calling FillHotspotMaskPixels().
At least a second instance of ImageStatisticsCalculator is used to compute the common statistics in the hotspot.