Technology | Computed Tomography (CT) | October 09, 2017

Medis Releases QAngio CT v3.1

Coronary plaque burden analysis software now offers enhanced access to CT angiography studies across the network, ability to analyze multiple vessels at the same time

Medis Releases QAngio CT v3.1

October 9, 2017 — Medis has released a new version of its QAngio CT (computed tomography), which can now be launched from the Medis Suite imaging platform. QAngio CT v3.1 provides a detailed analysis of plaque burden of the coronary system with comprehensive results.

Features of QAngio CT include:

Data import

  • Support for CT angiography (CTA) studies of all major CT vendors;
  • Access to CTA studies across the network;
  • Import of CTA studies from local storage media (hard disk, USB and CD/DVD);
  • DICOM connectivity, receiving cases, and query and retrieve;
  • Centralized database, thick client solution possible with multiple clients;
  • Loading of prior exams in parallel.

Viewing

  • Viewing 3-D CTA series, double oblique viewing, MPR, MIP, slabbed MIP, VR; and
  • Efficient caliper measurements.

CTA analysis workflow

  • Fully automatic extraction of the complete coronary tree;
  • Semi-automatic editing of coronary tree;
  • Automatic labeling of the segments in the coronary tree with anatomical names;
  • Analyze multiple vessels at the same time;
  • A two-step contour detection approach per vessel for both lumen and vessel contours:
    • Longitudinal detection: provides quick overview of border and allows easy corrections which will propagate to the transversal step.
    • Transversal detection: Based on the longitudinal contours and corrections.
    • Edit contours in longitudinal and transversal images simultaneously; and
  • Flexible lesion detection and definition using synchronized views of the vessel data (stretched MPR, curved MPR, graphs).
    • Simple contour editing workflow (two steps)
    • Automatic segment labeling for reporting and statistics

CTA analysis results

  • Lumen and plaque statistics:
    • Degree of stenosis (diameter and area)
    • Lesion length
    • Plaque burden
    • Plaque volume (per lesion and per vessel)
    • Vessel remodeling index
    • Mean plaque and lumen intensities
  • Fixed and adaptive thresholding methods for plaque characterization;
  • Plaque characterization components according to Virtual Histology classification; and
  • Vessel segment labeling.

Data export

  • All analysis results including coronary tree, contours, lesion parameters and vessel labels can be saved and reloaded again for reviewing and/or exporting;
  • Easy data export for quantification data (Excel or copy-to-clipboard);
  • Batch processing of quantified parameters from multiple studies into a single spreadsheet
    • Segment based
    • Lesion based
    • Slice based; and
  • Screenshots (jpeg, png, copy to clipboard, DICOM snapshots).

For more information: www.medis.nl

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