Briona 3D Advantages
BrionaSc, Tomo Screening
BrionaDx, Tomo Diagnostics
Briona Application Architecture
Briona Features Image Gallery
Briona Tomosynthesis Images
Video of DRR tomoynthesis images reconstructed in 5 mm slice spacings.

Real Time Tomography works collaboratively with its customer's technical team for a seamless integration of the Briona software and with their clinical specialists to select the Briona reconstruction parameters to achieve the desired image quality.

 
Briona™ is Real Time Tomography's dynamic 3D image reconstruction software for digital breast tomosynthesis, a novel 3D imaging modality approved for breast cancer screening.

Briona reconstructs 3D tomographic images from 2D projecton images in real-time and on-demand.  Briona offers the ability to examine any slice depth, tilt the reconstruction plane for multiplanar views and gives higher resolution magnifications. 

Based on our Dynamic Reconstruction and Rendering™ technology, Briona gives unparallel access to 3D data for greater diagnostic confidence.  Tomosynthesis data can be viewed and interrogated as true 3D data rather than a static stack of 2D images.

Briona Advantages

 Feature    Benefit
Real-time Image Reconstruction   Enables immediate diagnostic review, higher throughput, and interventional procedures.  Reduces patient callbacks and data storage needs.
Multiplanar Reconstruction   Enables reconstruction to any depth, magnification and plane.
Greater ability to view and interrogate image data.
Reduced likelihood of missing small structures.
Super Resolution   Higher in-plane resolution and image quality during magnification for greater diagnostic confidence.
Flexible & Configurable   Optimal Image Presentation for different tissue densities, lesion types and user preferences.
Adaptable   Proven technology that has been applied to several different geometries and detectors.
Easy-to-Integrate   Reduces development time and cost with Briona's parameter-driven software library
Cost-Effective   Saves R&D and development costs and reduces time to market.

Optimized for performance using GPU technology, Briona is designed as a software library for ease-on-integration into new and existing OEM imaging systems. 

Briona is currently in beta development.  It is available to manufacturers of medical imaging systems as a cost-effective solution for fast 3D image reconstruction of tomosynthesis images. 

Tomosynthesis Screening and Diagnosis

Briona solves the challenges of the clinical practice of digital breast tomosynthesis.  With fast image reconstruction and optimal image quality, BrionaSc™ facilitates tomosynthesis screening in the clinic.  For and tomosynthesis diagnostic examines, BrionaDx™ provides advance capabilities to interrogate and view the 3D image data.
 
   

 

Real-time Reconstruction On-Demand
Immediate review of 3D tomosynthesis images to verify image quality and patient positioning.
 
Image Depth and Spacing Flexibility
Reduces likelihood of missing calcifications and small lesions.

Clinically-targeted Image Processing
Adjust image processing for different tissue densities and lesions for improved visibility and conspicuity.
 

Super Resolution
Higher image quality during magnification than conventional techniques.

Multiplanar Reconstruction
Reconstruct at any depth, angle and plane orientation to view data better.

Advanced Image Processing
Dynamically change reconstruction and filter parameers to better enhance different tissue densities and lesions.

MIP Reconstructions
Maximum intensity projection (MIP) reconstructions for superior display of calcifications.
 

Briona Application Architecture

Briona has been designed for easy integration into manufacturer's existing workstation solution. For each image dataset, 2D projections are passed to the Briona library through memory from the calling application. Parameters that control image reconstruruction and presentation are passed to the Briona library. The Briona function to reconstruct a 3D tomographic image is then invoked by the calling application. The final reconstructed image is then reconstructed according to the parameter selection.
 
 

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