This paper proposes a novel evidential reasoning based region growing (ERRG) method to solve the segmentation problem of an interactive medical CT image. ERRG considers some important features of medical images

such as gray histogram

Gabor

and gray level co-occurrence matrix. The Bhattacharyya coefficient is used to measure the similarity between the adjacent pixels and the utility function and to merge the metric coefficients. However

given the low efficiency of ERRG

a parallel region segmentation algorithm for interactive medical images is mapped to GPU to accelerate the algorithm. The true-positive fraction (TPF) can significantly increase

false-positive fraction (FPF) can significantly decrease

and the speedup is 12. Real-time interactive medical image segmentation can be achieved using GPU-accelerated.