In 3-dimensional tomographic medical imaging, identification of different body tissues and organs, such as muscles, is an important part of the medical interpretation of the images. The size, shape and composition, and their variations over time, of different organs can be an important piece of information in many clinical questions. The identification of such features is in general a manual process, which includes manually identifying a specific organ and possibly labeling it in the image. The present image may, after a complete identification and analysis process, comprise a plurality of labels for different organs. Points, or voxels, in the 3-dimensional image may thereby represent a location of an organ.
However, when a new image is taken of a different body, the identification process needs to be done all over again. The identification and analysis of a previous image is not possible to reuse on a new image.
Consequently, there is a need for a method of identifying organs in a 3-dimensional tomographic image, which may be performed automatically.