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3D imaging is a technique to develop or create the illusion of depth in an image. 3D imaging has become a very useful factor for industrial applications to assist in quality control processes. 3D imaging is the process of manipulating 2D data into a three-dimensional format, creating the illusion of depth.


Using spatial data points in combination with image renderings to provide contextually relevant and intuitive pointillism arrays a true Digital Twin can be generated. They are then optimized to take advantage of powerful computer platforms and AI artificial intelligence. 

Now the medical industry can perform comparative data science analysis on current and historic scan datasets to minimize subjective, human interpretation errors.

Breakthru the Limits of Medical Imaging

  • Changing medical imaging from an error-prone graphic standard to a true spatial data standard

  • Advanced AI-based data query and data visualization tools

  • Understanding the human anatomy through data quantification versus image interpretation

  • Enhances the Radiologists capabilities to the atomic level of detection 


By compiling to spatial Digital Twin data, enables radiologists and medical professionals to isolate single values of interest and eliminate all other data points  - a healthcare industry first.

They can also compare and contrast a single value, ranges of values, or combinations thereof to existing data sets (current or historical) to quantify data trends within a single patient or across populations.

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