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Figures
- Fig 1.
Schematic of the proposed SDC lesion-change detection algorithm on the T2-weighted FLAIR subtraction image. One unchanged lesion (yellow arrow) and 1 new lesion (red arrow) are correctly identified by the SDC. The algorithm automatically generates red ROIs, which encompass the detected areas of change on the second FLAIR image to help the human reader quickly identify lesion changes.
- Fig 2.
Comparison of lesion changes identified by the LPA and SDC (indicated by the red ROIs generated by the algorithms and superimposed on the T2 source FLAIR images). Each column shows images acquired at a different time points. The LPA identifies more false-positives (yellow arrows) yet misses a new small lesion (red arrow). The SDC correctly classifies positive lesion changes in concordance with the human expert.
Tables
Summary of diagnostic accuracy of the SDC and LPA algorithms for detecting positive lesion change (lesion growth) between 2 FLAIR images with side-by-side image review by a human reader as the reference standard
Predicted Lesion Status True Lesion Status by a Human Reader Change No Change By SDC Change 83 261 No change 2 824 By LPA Change 52 1454 No change 34 524
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