CartiMorph: A Framework for Automated Knee Articular Cartilage Morphometrics

Yongcheng Yao , Junru Zhong , Liping Zhang , Sheheryar Khan , Weitian Chen
Medical Image Analysis, 2024
https://doi.org/10.1016/j.media.2023.103035
Paper arXiv Code Data

CartiMorph provides a framework for automated knee articular cartilage morphometrics, including thickness mapping and full-thickness cartilage loss estimation.

CartiMorph overview

Highlights

We present CartiMorph, a framework for automated knee articular cartilage morphometrics. It includes:

  • A method for automated cartilage thickness mapping that is robust to cartilage lesions.
  • A method for automated full-thickness cartilage loss (FCL) estimation.
  • A rule-based cartilage parcellation method that is robust to FCL.

BibTeX

@article{YAO2024103035,
title = {CartiMorph: A framework for automated knee articular cartilage morphometrics},
journal = {Medical Image Analysis},
author = {Yongcheng Yao and Junru Zhong and Liping Zhang and Sheheryar Khan and Weitian Chen},
volume = {91},
pages = {103035},
year = {2024},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2023.103035}
}