Most research labs can do something a little fancier but basically similar, using mutual information reduction algorithms to mathematically align images. The s

Most research labs can do something a little fancier but basically similar, using mutual information reduction algorithms to mathematically align images. The software is also open source (see ANTS from UPenn or FSL from Oxford). Sadly, none of this is easily available in FDA approved packages from typical MRI/CT imaging vendors like GE or Siemens. Often need to pay extra for such features. You could theoretically walk to the surgery suites and borrow a stereotactic imaging station (basically an embedded Linux PC) and do it there, but radiologists typically aren't trained to do that. FSL and ANTS aren't approved by FDA for clinical use so can't be officially documented in a patient's chart... Most radiology training is based on visual recognition of abnormalities in anatomy - the "eyeball approach" has its value, which is why intelligence agencies employ human spotters and people are working on neuromorphic chips. But there isn't really a lot of quantitative/comp sci expertise among typical medical students (maybe more now, who knows?)