A method for segmenting an enhanced fusion image , said method comprising: obtaining a series of images of an object of interest, the series of images comprising more than three images acquired from two or more different imaging modalities or a single modality operated to perform different scanning protocols; ordering the series of images based on information about the images in the series of images, said information relating to entropy, noise, edges or homogenous regions of the images; selecting the first image and the second image in the ordered series of images for processing; repeating, until all images in the series of images have been processed, the steps of: generating a joint histogram using the selected images; determining clusters using the joint histogram ; generating a label image using the determined clusters; determining if any of the images of the series of images has not been selected for processing; and if it is determined that each of the images in the series of images has not been processed, selecting the next image in the series of images and the generated label image ; and when all images in the series of images have been processed: performing a morphological filtering of the generated label image ; extracting connected regions; segmenting the connected regions; identifying the segmented regions based on specific characteristics of each region; performing anatomy specific segmentation; and displaying the anatomy specific segmented image. obtaining a series of images of an object of interest, the series of images comprising more than three images acquired from two or more different imaging modalities or a single modality operated to perform different scanning protocols; ordering the series of images based on information about the images in the series of images, said information relating to entropy, noise, edges or homogenous regions of the images; selecting the first image and the second image in the ordered series of images for processing; repeating, until all images in the series of images have been processed, the steps of: generating a joint histogram using the selected images; determining clusters using the joint histogram ; generating a label image using the determined clusters; determining if any of the images of the series of images has not been selected for processing; and if it is determined that each of the images in the series of images has not been processed, selecting the next image in the series of images and the generated label image ; and generating a joint histogram using the selected images; determining clusters using the joint histogram ; generating a label image using the determined clusters; determining if any of the images of the series of images has not been selected for processing; and if it is determined that each of the images in the series of images has not been processed, selecting the next image in the series of images and the generated label image ; and when all images in the series of images have been processed: performing a morphological filtering of the generated label image ; extracting connected regions; segmenting the connected regions; identifying the segmented regions based on specific characteristics of each region; performing anatomy specific segmentation; and displaying the anatomy specific segmented image. performing a morphological filtering of the generated label image ; extracting connected regions; segmenting the connected regions; identifying the segmented regions based on specific characteristics of each region; performing anatomy specific segmentation; and displaying the anatomy specific segmented image. <EOS>