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Abstract #2954

An automated technique to estimate knee cartilage thickness for femoral, tibial, patellar cartilages and menisci

Deepthi Sundaran1, Laura Carretero Gomez2,3, Bruno Nunes4, Jignesh Dholakia1, and Maggie Fung5
1GE HealthCare, Bengaluru, India, 2GE HealthCare, Madrid, Spain, 3Medical Image Analysis and Biometry Lab, Rey Juan Carlos University, Madrid, Spain, 4GE HealthCare, San Ramon, CA, United States, 5GE HealthCare, New Jersey, NY, United States

Synopsis

Keywords: Cartilage, Segmentation, Thickness map, femur, tibia, patella, meniscus

Motivation: Accurate estimation of knee cartilage thickness is crucial for assessing cartilage health and tracking disease progression, such as in osteoarthritis.

Goal(s): To propose a generic, non-DL algorithm that estimates the thickness of three cartilage compartments—femur, tibia, patella—and the meniscus, allowing visualization in 2D/3D.

Approach: The method involves isolating bone and cartilage surfaces from pre-segmented volumes using selected morphological processes. Thickness is then calculated with a nearest neighbor algorithm and encoded onto one surface to enable visualization.

Results: Accuracy is evaluated using digital phantoms and validated by comparison with manual measurements from clinical experts.

Impact: Cartilage thickness estimation holds significant clinical value and the proposed method enables efficient thickness estimation and visualization of all cartilage compartments - femur, tibia, patella and meniscus in a generic and less computationally intensive manner.

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Keywords