VEELA - Vessel Extraction and Extrication for Liver Analysis

You are here

Home » VEELA - Vessel Extraction and Extrication for Liver Analysis

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

VEELA - Vessel Extraction and Extrication for Liver Analysis

2024
https://veela.grand-challenge.org/VEELA/

Supported by the SPS Challenge Program.

Accurate analysis of liver vasculature in three dimensions (3D) is essential for a variety of medical procedures including computer-aided diagnosis, treatment planning, or pre-operative planning of hepatic diseases. Pre-surgical planning for living donated liver transplantation requires precise knowledge of the liver vascular morphology. Likewise, the localization of liver lesions is based on the lesion’s relative position to the surrounding hepatic vessels. Moreover, it is also used for medical education, which significantly benefits from advanced models and realistic simulations. A complete analysis of the liver vasculature implies the analysis of three vessel types: Hepatic vessels that transport deoxygenated blood from the liver to the heart, portal vessels that transport nutrient-rich blood from the intestines to the liver, and the hepatic artery that carries oxygenated blood from the heart to the liver.

During routine clinical workflow, vessel segmentation is mostly carried out by radiologists, who manually annotate all vessels on abdominal multi-slice computed tomography angiography (CTA) images in DICOM format. This process is tedious, time-consuming work that is prone to high intra- and inter-expert variability. This creates the need for an accurate, fully automated vessel segmentation method. In this context, the VEELA challenge has two goals:
 
1) Segmentation of liver vasculature,
2) Classification of hepatic and portal vessels. (Note: hepatic arteries were not included in the scope of this challenge)

Visit the Challenge website for details and more information!

 

Technical Committee: Applied Signal Processing Systems, Image, Video, and Multidimensional Signal Processing, Machine Learning for Signal Processing

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel