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 plaque burden analysis 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