A generalised geometry and intensity based partial volume correction for magnetic resonance images

Segmentation of objects of interest in magnetic resonance imaging is a necessary procedure for volumetric calculations. However, these direct measurements tend to be inaccurate due to the intrinsic MRI partial volume effects. In this paper, a generalised method for correcting these effects based on the geometry and grey level intensity of the segmented objects is presented. This method is independent of the segmentation strategy used to extract the objects of interest. An evaluation is presented for three different segmentation methods and it is shown that the proposed generalised partial volume correction can improve the volume estimation of all three methods.