CACTAS(Carotid Artery-Computed Tomographic Angiography Scoring) is an open-source project that can assist radiologists in diagnosing an embolic stroke of undetermined source (ESUS). Our project aims to design a program that can characterize qualitative and quantitative morphologic features of calcific plaque. We designed a web-based tool for plaque annotation to segment plaque with a single click.
CACTAS-Tool is a web-based single-click annotation tool that is 2.89 times faster than manual segmentation. We perform 3D region growing based on a user-selected CT Hounsfield Unit (HU) intensity with a configurable tolerance threshold to include neighboring voxels. Visualization was set to window/level of 130/1500 HU.
Here is an example of CACTAS-Tool:
🚀 Challenge
We want to integrate the CACTAS tool functionality in Boostlet.js which is JavaScript plugins that enhance web-based image processing!
💡 CACTAS Project
CACTAS(Carotid Artery-Computed Tomographic Angiography Scoring) is an open-source project that can assist radiologists in diagnosing an embolic stroke of undetermined source (ESUS). Our project aims to design a program that can characterize qualitative and quantitative morphologic features of calcific plaque. We designed a web-based tool for plaque annotation to segment plaque with a single click.
CACTAS-Tool is a web-based single-click annotation tool that is 2.89 times faster than manual segmentation. We perform 3D region growing based on a user-selected CT Hounsfield Unit (HU) intensity with a configurable tolerance threshold to include neighboring voxels. Visualization was set to window/level of 130/1500 HU.
Here is an example of CACTAS-Tool:
![Screen Shot 2023-07-18 at 3 59 33 PM](https://github.com/jiehyunjkim/CACTAS_Aim2/assets/54910137/448b91e2-8295-41b0-81ac-99ea37e7f9f1)
🚀 Challenge
We want to integrate the CACTAS tool functionality in Boostlet.js which is JavaScript plugins that enhance web-based image processing!
🛠️ Getting Started
You can get CACTAS tool code from: https://github.com/jiehyunjkim/CACTAS_Aim2