Current interpretation of medical images, such as those produced by CT, MRI and other devices, does not provide the means to leverage all of the actionable information they contain.
In order to successfully identify an area of interest from a 3D medical data set, doctors integrate a series of 2D images in their mind and cognitively extract the relevant 3D relationships that define the tissue or organ of interest as well as its neighboring anatomy. In complex cases, they must visually map two or more views of the same data to find appropriate correspondences of one view with another view to produce a match and determine if what they see is the tissue they want to evaluate.
Under this visualization paradigm, doctors rely on their spatial cognitive skills, in other words, their ability to generate mental spatial representations of 3D anatomy on the basis of a given 2D view.
The bottom line is that doctors are deliberating through the data, trying to solve a 3D problem from 2D views. This results in a loss of clinically significant information.
True 3D is a solution that enables doctors to minimize their reliance on their spatial cognitive skills and leverage their intuitive reasoning by providing sensory inputs that trigger a doctor's visual-motor perception system. The correspondence of visual and motor information provides an especially strong cue about spatial properties .
This means that when a doctor is evaluating 3D medical images in True 3D he does not need to solve a 3D problem and can focus on the clinical problem at hand, he will simply experience the 3D tissue and organs as real physical objects.