Cordicity
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The solution

Introducing CorASCT.
More than improved imaging.

Automated blood stagnation mapping from a standard CT — a new quantitative marker for clinicians, designed for cloud-native distribution through existing PACS platforms.

01
Patient-specific

Computes hemodynamics per case — no population averages, no proxies.

02
Standard CT input

Works with any CT vendor and the systems that already exist in hospitals today.

03
Cloud-native

Delivered as an automated application integrated into PACS and AI marketplaces — without any manual intervention.

How it works

AI powered segmentation.

Not a render. The model identifies target cardiac structures from a routine CT, which are tracked over time and feed advanced hemodynamic computations.

Scene 01 · Whole heart
Scene 01 · Whole heart
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This is the actual segmentation.

Not a render. The model identifies seven cardiac structures from a routine CT — the same data that feeds the hemodynamic computation in step 03.

  • Left atrium
  • Left ventricle
  • Right atrium
  • Right ventricle
  • Aorta
  • Pulmonary artery
  • Myocardium
Scene 02 · Left side
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Where stasis matters.

The left atrium and left ventricle are the chambers where slow, recirculating blood drives thromboembolic risk. Cordicity quantifies stagnation here.

  • Left atrium
  • Left ventricle
Scene 03 · Right side
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Right-side anatomy, isolated.

Right atrium and right ventricle are segmented with the same model — enabling full four-chamber flow analysis when needed.

  • Right atrium
  • Right ventricle
Scene 04 · Outflow tracts
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Inflow and outflow, quantified.

Aorta and pulmonary artery boundaries define the flux surfaces. PV inflow and MV outflow are computed directly from these — step 03 takes over from here.

  • Aorta
  • Pulmonary artery
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Cordicity

More than improved imaging.

Talk to the team building the next quantitative marker in stroke care — whether you are a clinician, a partner, an investor or a future colleague.

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