diff --git a/Modules/PhotoacousticSimulation/src/Algorithms/mitkPhotoacousticNoiseGenerator.cpp b/Modules/PhotoacousticSimulation/src/Algorithms/mitkPhotoacousticNoiseGenerator.cpp
index a568bda190..e5ec01dee8 100644
--- a/Modules/PhotoacousticSimulation/src/Algorithms/mitkPhotoacousticNoiseGenerator.cpp
+++ b/Modules/PhotoacousticSimulation/src/Algorithms/mitkPhotoacousticNoiseGenerator.cpp
@@ -1,43 +1,43 @@
 #include "mitkPhotoacousticNoiseGenerator.h"
 #include <random>
 #include <chrono>
 #include <mitkCommon.h>
 
 void mitk::PhotoacousticNoiseGenerator::ApplyNoiseModel(ImageType image, double detectorNoise, double speckleNoise)
 {
   if(detectorNoise < 0 || speckleNoise < 0)
   {
     std::string msg = "detectorNoise must be >= 0 and speckleNoise must be >= 0";
     MITK_ERROR << msg;
     mitkThrow() << msg;
   }
 
   if(detectorNoise == 0 && speckleNoise == 1)
   {
     return;
   }
 
   std::mt19937 rng;
   std::random_device randomDevice;
   if(randomDevice.entropy()>mitk::eps)
   {
     rng.seed(randomDevice());
   }
   else
   {
     rng.seed(std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::high_resolution_clock::now().time_since_epoch()).count());
   }
-  std::normal_distribution<> detector(detectorNoise/2, detectorNoise);
+  std::normal_distribution<> detector(detectorNoise/2, detectorNoise/2);
   std::normal_distribution<> speckle(1, speckleNoise);
 
   //TODO: Determine realistic noise model.
   for(int x = 0, xLength=image->GetXDim(); x < xLength; x++)
     for(int y = 0, yLength=image->GetYDim(); y < yLength; y++)
       for(int z = 0, zLength=image->GetZDim(); z < zLength; z++)
       {
         double additiveNoise = detector(rng);
         if(additiveNoise<=0)
           additiveNoise = 0;
         image->SetData((image->GetData(x, y, z)+additiveNoise)*speckle(rng), x, y, z);
       }
 }