Reproducibility of an Automated Quantitative MRI Assessment of Low-Grade Knee Articular Cartilage Lesions.
Vladimir JurasPavol SzomolanyiMarkus M SchreinerKarin UnterbergerAndrea KurekovaBenedikt HagerDidier LaurentEsther RaithelHeiko MeyerSiegfried TrattnigPublished in: Cartilage (2020)
The proposed technique of automated knee cartilage evaluation based on the segmentation of 3D MR images and correlation with T2 mapping provides highly reproducible results and significantly reduces the segmentation effort required for the analysis of knee articular cartilage in longitudinal studies.
Keyphrases
- deep learning
- low grade
- total knee arthroplasty
- convolutional neural network
- knee osteoarthritis
- high grade
- anterior cruciate ligament
- anterior cruciate ligament reconstruction
- high resolution
- contrast enhanced
- machine learning
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- mass spectrometry
- clinical evaluation