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CaroTo: A Tool for Fast Comprehensive Analysis of Carotid Artery Stenosis in 4D PC- and 3D BB-MRI Data

Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Jonathan Andrae, Christoph Strecker, Andreas Harloff, Anja Hennemuth

Abstract

Atherosclerosis of the carotid artery increases stroke risk. Atherosclerosis assessment with MRI requires multimodal and multidimensional segmentation of the carotid artery, reproducible extraction of biomarkers, and the visualization of segmentations and biomarkers. We developed CaroTo, a tool that allows for standardized carotid atherosclerosis assessment. It combines the capabilities of MEVISFlow with specialized tools for carotid geometry and vessel wall assessment. It supports manual and automatic segmentation for 2D, 2D+time, and 3D images, facilitating precise and consistent evaluations of carotid artery stenosis.

CaroTo: A Tool for Fast Comprehensive Analysis of Carotid Artery Stenosis in 4D PC- and 3D BB-MRI Data

Abstract

Atherosclerosis of the carotid artery increases stroke risk. Atherosclerosis assessment with MRI requires multimodal and multidimensional segmentation of the carotid artery, reproducible extraction of biomarkers, and the visualization of segmentations and biomarkers. We developed CaroTo, a tool that allows for standardized carotid atherosclerosis assessment. It combines the capabilities of MEVISFlow with specialized tools for carotid geometry and vessel wall assessment. It supports manual and automatic segmentation for 2D, 2D+time, and 3D images, facilitating precise and consistent evaluations of carotid artery stenosis.
Paper Structure (6 sections, 2 figures)

This paper contains 6 sections, 2 figures.

Table of Contents

  1. Introduction
  2. CaroTo
  3. Segmentation
  4. Visualization of 3D segmentation and VWT
  5. Visualization of 4D-Flow MRI
  6. Conclusions

Figures (2)

  • Figure 1: Tab for manual segmentation of the carotid artery in cross-sections that are perpendicular to the centerline. Automatic segmentations can be created and are transformed into contours. This allows for manual correction and good visibility of the BB-MRI data.
  • Figure 2: Visualization of (a) 3D segmentation on a curved MPR (b) 3D segmentation mask, color-coded with the VWT (c) Pathlines computed from 4D-Flow MRI, color-coded with the velocity