Review Article

Machine Learning Techniques for Quantification of Knee Segmentation from MRI

Table 1

Automated segmentation approaches.

StudyMR sampleNumber of subjectsMethods usedEfficiency measures

[47]3D DESS33 subjectsRegion growing and seed selectionDSC 82.8%, 83.1%, and 72.6% for femur, tibia, and patella, respectively
[15]T1-weighted 3D DESS20 subjectsSide selection and coupled cartilage segmentationDSC 0.80
Sensitivity 90.0
Specificity 99.8
[48]3D DESS20 subjectsSpatial fuzzy C-meanDSC of femur, tibia, and patella are 87.1, 81.1, and 84.8, respectively
[37]DESS50 subjectsStatistical shape modelAccuracy 74 ± 5
DSC 86.1%
[49]2D scan100 subjectsRandom walker algorithmDSC 0.8758
[50]DESS8 subjectsDRLSE algorithmDSC 90.28
Sensitivity 91.14
Specificity 99.12
[35]3D DESS10 subjectsK-nearest neighborSensitivity 84.2
Specificity 99.9
Dice volume 0.81
[34]3D image139 subjectsVoxel classificationDSC 0.80 ± 0.04
[51]DESS13 subjectsHierarchical classifier and random forestSurface positioning errors femur 0.03 ± 0.19 tibia 0.10 ± 0.17
[52]T1-weighted 3D SPGR and T2-weighted GRE9 subjectsThree-label segmentationMedian dice coefficient femur 0.935 and tibia 0.938
[53]3D SPGR155 subjectsLongitudinal three label segmentationFemur DSC 75%
Sensitivity 78%
Specificity 99.9%
[54]Sagittal DESS88 subjectsConvolution neural networkDSC 83.8%
[55]DESS40 subjectsActive appearance model (statistical model)RMSE for femur 1.49, tibia 1.21
[56]PDW TSE14 subjectsDistance-weighted directional gradientIntensity level, 2∼4
[57]T1-weighted30 subjectsMultiatlas segmentation constrained graphFemur average surface distance 0.36 mm
[58]2D ASM140 subjectsRigid multiatlas registrationDice volume tibia 0.8 and femur 0.87
[59]T1-weighted SPGR20 subjectsStatistical methodDSC of femur 0.871, tibia 0.852, and patella 0.645. Sensitivity of femur 0.947, tibia 0.949, and patella 0.909. Specificity of femur 0.988, tibia 0.993, and patella 0.996.
[60]T1-weighted FS14 subjectsValidation of statistical methodMeniscus DSC 0.75, sensitivity 0.72, and specificity 1.00
[61]T1-weighted100 subjectsCoarse to fine method with min-cutDSC of femur 0.947, and tibia 0.968