Breakthrough Technology Offers Early Diagnosis for
Autism and Other Neurological Conditions

Using existing technology (MRI scan) the folds in a brain’s Cerebral White Matter are first mapped via gyrificaition. The resulting shapes are then analyzed by imaging technology. This new invention is comprised of machinery, systems, and software capable of producing a 3D map of a brain based on the scans. Using this 3D mesh map the brain’s neurological health can be evaluated. This provides the opportunity to diagnose and determine the severity of suspected neurological conditions.

Current Diagnostic Techniques for Autism

Diagnosing Autistic Spectrum Disorder (ASD) currently involves a number of specialized healthcare workers. Observation over long periods of time, as well as a series of tests is involved with determining if a child is on the ASD. The costs and time associated with the diagnosis can be daunting. It is extremely difficult to diagnose a young child, which prevents early interventions.

New Technology Reveals the Autistic Brain as Young as 5-Month of Age

This new technology will diagnose a child as young as five months old, which will allow for early interventions and parents’ peace of mind. Providing accurate diagnostic imaging allows physicians the knowledge of which area of the brain is affected. With a 94%+ accuracy potential errors are minimized. The test reduces costs associated with specialized healthcare workers’ administering a battery of other tests for diagnosis.

Classifying a brain includes four steps:

  1. Segment the brain’s scanned image data associated with a specific cortex of the brain
  2. Equalize and model segmented image data to generate a 3D mesh model of the brain
  3. Map the 3D mesh model to a unit sphere
  4. Compute the spherical harmonics for the delineation of the unit sphere

On completion of the listed four steps, the spherical modules are used to classify the brain. This classification is based on the learned shape model developed from a collection of previous data of categorized brain images. The test can be repeated to follow the disease state over time.