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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