Technology | February 13, 2015

System improves image quality by replicating grid use


February 13, 2015 — XRware is launching an advanced new image processing software called XRware Virtual Grid. The included technologies improve image quality for exams that are taken without a grid.

The system automatically adapts its processing to replicate grid use to reduce degradation of image quality caused by scatter radiation, with no user interaction required.

Physical add-on grids are commonly required for mobile imaging of large anatomy to help focus radiation to reduce scatter and blurring. XRware Virtual Grid processing is a benefit for mobile imaging in emergency rooms, operating rooms, nursing homes, bedsides, wheelchairs and other exams where the optimal grid or any grid may not be on-hand. The system also eliminates artifacts typical from misalignment of the tube to detector/grid angle.

The clinician will benefit as it will offer better visibility and contrast of the small and weak structure, better depiction of overlapping structure, simultaneous viewing of bone and soft tissue, reduced window width & window leveling and improved motion unsharpness reduction.

XRware Virtual Grid is available as a software development kit (SDK) available for integration into an existing product.

Part of the XRware software suite, the Virtual Grid offers the following seven modules and specifications:

  • XRware Simulation for whole-system modelling for a more accurate system design, XR control setup and system calibration. Features include X-ray spectrum simulation, detector response simulation, interaction X-ray/matter, system uncertainty modeling, dose estimation
  • XRware 2-D Image Processing to experience image processing for a more accurate analysis of images. Features include noise reduction, shading correction, sinogram-based processing, contrast enhancer, high dynamic range imaging, flux variation, projection registration, multi-energy processing.
  • XRware Tomography Reconstruction to generate object model from its projections using artifact-reduced approaches using whatever trajectories and acquisition constraints (partial scan, low dose acquisitions). Features include analytical approaches, exact reconstruction algorithm, approximated reconstruction algorithms (FDK/FBP, BFP), acquisition strategies (circular, non-circular, helix, complex trajectories), extended view, partial scan, iterative approaches (deterministic and stochastic approaches), automatic Hounsfield unit calibration, automatic geometry parameters adjustment.
  • XRware 3-D Image Processing to experience volume processing for a more accurate analysis. Features include noise reduction, contrast enhancement, sharpening, ring artifact reducer, beam hardening reduction, metal artifact reduction, scatter reduction
  • XRware Analysis, a range of tools aiding quantification and diagnosis

 

Other features include

  • Segmentation
  • Measurement/metrology
  • Mesh extraction
  • CAD comparison
  • Volume comparison
  • Porosity analysis
  • Data fusion
  • Visualization and accurate data representation tools for a better visualization study
  • Volume rendering
  • Mesh rendering
  • 2-D/3-D representation
  • Hierarchical visualization
  • LUT management

For more information: www.xrware.com


Related Content

News | Radiation Dose Management

April 9, 2024 — Mirion Dosimetry Services, a Mirion Medical company, today announced commercial availability of its ...

Time April 09, 2024
arrow
News | X-Ray

April 1, 2024 — MinXray, a leading manufacturer of imaging systems for medical and veterinary use, recently sent its ...

Time April 01, 2024
arrow
News | HIMSS

March 8, 2024 — DeepTek.ai, a leading medical imaging AI company, will showcase its groundbreaking US FDA-cleared chest ...

Time March 08, 2024
arrow
News | Artificial Intelligence

March 6, 2024 — Body Vision Medical, a leader in AI-driven, intraoperative imaging, announced the successful validation ...

Time March 06, 2024
arrow
News | Artificial Intelligence

February 29, 2024 — AIxSCAN, Inc., a Sunnyvale, CA-based developer of a next generation artificial intelligence (AI) ...

Time February 29, 2024
arrow
News | X-Ray

February 26, 2024 — AIxSCAN, Inc. began clinical trials in late 2023. The AIxSCAN, Inc. team is very pleased with the ...

Time February 26, 2024
arrow
News | Radiology Imaging

February 23, 2024 — Can dual-energy tomosynthesis be performed portably? This is one of the topics to be discussed by KA ...

Time February 23, 2024
arrow
News | Artificial Intelligence

February 6, 2024 — Medical imaging AI innovator, Qure.ai, has received breakthrough device designation from the Food and ...

Time February 06, 2024
arrow
News | Artificial Intelligence

February 2, 2024 — DeepTek.ai, a leading provider of artificial intelligence (AI) solutions for medical imaging ...

Time February 02, 2024
arrow
News | Artificial Intelligence

January 16, 2024 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, announced ...

Time January 16, 2024
arrow
Subscribe Now