Software Re-engineering for better Neuroanatomical Visualization

Success Story.

Software Re-engineering for better Neuroanatomical Visualization

About the Client

The client makes magnetoencephalography (MEG) based diagnostic imaging systems. Their technology computes the source of magnetic activity in an impulse-response MEG experiment.

Business Challenge

The client wanted to revamp the software visualization interface and create volumetric boundary representation of the brain for improved source localization in MEG software.

The complexity of the visualization application was centered on developing a higher order interpolation tool for neural surface rendering and computational analysis. The goal was to compute the cortical surfaces extracted from a surface model of the brain to act as a boundary surface for source localizations in MEG calculations. The existing solutions weren’t accurate enough for cortical visualization.

The client approached the Silicus Medical Devices team to come up with an innovative technique for clinically accurate visualization of neuroanatomical structures.

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Silicus Solution

Silicus worked with a team of scientists to come up with techniques based on spherical harmonic regression fits for cortical surface interpolation. The techniques developed were prototyped in a scientific programming language by lead medical physicist.

The team was successful in porting the solution to C++ in Linux for the visualization of neuroanatomical sulci and gyri as required by the source localization platform. Part of delivering this solution also involved its success to verify and validate accuracy of the solution with nominal magnetic resonance datasets.

With Silicus’ technical competency, visualization solution imparted an edge to the existing UI and surface representation by providing spacing of less than 0.5 mm in the final solution developed. This involved taking the cortical surface developed with the clinically available tool and using that as an input for regression fits with spherical harmonic analysis for the conformal surface representation.

Comprehensive documentation was provided to the end user in the form of training manuals and user documentation to help understand the workflow involved to generate the viewer. Silicus also created design control documentation towards obtaining FDA conformance for the software products and clinical utilities developed.

Technologies Used

Language ASP.NET MVC4

C++, FSL, Linux



Client Benefits

Performance Improvements

We observed dramatic improvements in source localization from the researchers using this visualization as a boundary surface for source localization calculations. The tool was validated based on neuroanatomical structures drawn out by an expert to illustrate the high accuracy (>0.5 mm) for the cortical surface developed and was successfully deployed at XYZ’s Hospital with their MEG system.

Better Reporting

The clinical reporting tool developed was in the form of cortical surface rendering as illustrated by the MRI viewer and registered with the MEG data. This resulted in rapid visualization and dedicated representational services for MRI data with an interactive tool to display the volumetric data.

Better User Experience

We benchmarked almost 20 MRI visualization/segmentation packages to illustrate the power of visualization and end user interfaces for volumetric reconstruction. The final software developed was in the form a pictorial representation and a point cloud for analysis on a scientific computing platform, which greatly benefitted from the surface representation(s) developed.

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