pcat-workstation-v2 Svelte Themes

Pcat Workstation V2

PCAT Coronary Artery Analysis Workstation v2 — Tauri + Svelte + Rust

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PCAT Workstation

A desktop application for measuring Fat Attenuation Index (FAI) around coronary arteries from cardiac CT scans. FAI quantifies pericoronary adipose tissue inflammation — a biomarker for coronary artery disease risk.

Author: Shu Nie · University of California, Irvine

Research use only. Not for clinical diagnosis.

Quick Start

1. Install

Download the latest .dmg from Releases, open it, and drag PCAT Workstation to your Applications folder.

macOS note: If you see "PCAT Workstation is damaged and can't be opened", open Terminal and run:

xattr -cr /Applications/PCAT\ Workstation.app

This removes the quarantine flag that macOS adds to unsigned downloaded apps.

2. Open a CT scan

Click Open DICOM and select the folder containing your cardiac CT DICOM files. The application loads the volume and displays it in three views: Axial, Coronal, and Sagittal.

  • Scroll through slices with the mouse wheel
  • Adjust brightness/contrast by right-clicking and dragging
  • Zoom with pinch gesture on trackpad
  • Recently opened scans appear in the dropdown next to "Open DICOM"

3. Trace the coronary arteries

Select a vessel (RCA, LAD, or LCx) from the toolbar, then click on the MPR views to place seed points along the artery. Start from the aorta and trace distally.

  • Place at least 2 seeds per vessel (more = smoother centerline)
  • Seeds appear as colored dots; a spline centerline connects them automatically
  • Drag a seed to adjust its position
  • Delete/Backspace removes the selected seed
  • Cmd+Z to undo, Cmd+Shift+Z to redo
  • Click Save to store your work (auto-loads next time you open this patient)

4. Review the CPR

Once you have 2+ seeds, the bottom-right panel shows the Curved Planar Reformation (CPR) — a reformatted view that follows the vessel through the anatomy.

  • Switch between Straightened and Curved modes
  • Rotate the view with the slider at the bottom
  • Three cross-sections (A, B, C) show the vessel at different positions
  • Shift+click on the CPR to mark the ostium position

5. Run the FAI analysis

Click Analyze in the toolbar. The analysis takes a few seconds and includes:

  1. Centerline refinement along the proximal 40mm segment
  2. Vessel wall boundary detection
  3. Perivascular VOI construction (CRISP-CT protocol: 1mm gap + 3mm ring)
  4. FAI measurement within the -190 to -30 HU fat window

Click FAI on the CPR to toggle the fat attenuation overlay:

  • Green = healthy pericoronary fat
  • Red = inflamed pericoronary fat

6. View the results

After the pipeline completes, click the Analysis tab (next to CPR) to see:

Overview

Per-vessel FAI summary with risk classification (HIGH if mean HU > -70.1, LOW otherwise).

Histograms

HU distribution within the FAI window, with reference lines at -190, -30, and -70.1 HU.

Radial Profile

How mean HU changes with distance from the vessel wall (1–20mm). Shows whether inflammation is localized near the vessel or diffuse.

Angular Analysis

Cross-sectional ring showing mean HU in 8 sectors around the vessel. Identifies whether inflammation is focal (one side) or circumferential.

RCA LAD

7. Save and compare

  • Click Save to store seeds + analysis results together
  • You can trace multiple vessels (RCA, LAD, LCx) and run the pipeline for each
  • Switch between CPR and Analysis tabs anytime — your MPR views stay visible
  • Click Re-analyze after adjusting seeds to update results

Keyboard Shortcuts

Action Shortcut
Undo Cmd + Z
Redo Cmd + Shift + Z
Delete seed Delete / Backspace
Switch vessel 1 (RCA), 2 (LAD), 3 (LCx)
Navigate seeds Left / Right arrow
Deselect seed Escape
Set ostium Shift + click on CPR

Analysis Parameters

Parameter Value Reference
FAI window -190 to -30 HU Antonopoulos et al., Sci Transl Med 2017
Risk threshold -70.1 HU Oikonomou et al., Eur Heart J 2018
VOI protocol 1mm gap + 3mm ring (CRISP-CT) CRISP-CT study
Segment length Proximal 40mm from ostium Standard clinical protocol
Radial profile 1–20mm from vessel wall, 1mm bins
Angular sectors 8 sectors around vessel circumference

For Developers

Build from source

Prerequisites

Run

git clone https://github.com/MolloiLab/pcat-workstation-v2.git
cd pcat-workstation-v2
npm install
cargo tauri dev

Build release

cargo tauri build

Output: src-tauri/target/release/bundle/dmg/PCAT Workstation_0.1.0_aarch64.dmg

Tech stack

Tauri v2 (Rust) + Svelte 5 + cornerstone3D + Plotly.js

References

  1. Oikonomou EK et al. "Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk." Eur Heart J. 2018.
  2. Antonopoulos AS et al. "Detecting human coronary inflammation by imaging perivascular fat." Sci Transl Med. 2017.
  3. CRISP-CT: Coronary Inflammation and Structural Plaque characteristics by CT.

License

MIT License. See LICENSE for details.

Not intended for clinical diagnosis — research use only.

Created by Shu Nie at the Molloi Lab, University of California, Irvine.

Contact

For questions, collaboration, or issues: Shu Nie — nies1@uci.edu

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