Neuroimaging provides a neurosurgeon with the most important information about pathology concerning a particular patient. The amount of such information is enormous and is still growing with the introduction of new equipment. The problem is the choice of the exact details of interest from this huge amount of information, how to make it more visible, and how to store it etc. in order to enable the physician to make better and quicker decisions about exact diagnosis and localization of the pathology for further medical interventions. In such cases computer based intelligent support can help a physician to acquire more important information from X-ray images. This is very important for drawing proper conclusions and taking appropriate action. The authors are developing a prototype of a computer based intelligent support for neuroimaging (CBISN). Some practical examples are presented.