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. 2020 Dec 2;3(2):e200137. doi: 10.1148/ryai.2020200137

Figure 6c:

The potential pitfalls of PETDL are illustrated on noncorrected (left), attenuation- and scatter-corrected (middle), and deep learning–corrected (right) maximum intensity projection (MIP) PET images with (a) a missing one of two lesions in the chest (zoomed-in red box vs blue box), (b) an underestimated lesion in the spine, and (c, d) uncorrected pathologic structures in the chest (red vs blue dashed ellipse). A high-uptake lesion was missed in a and blurred in b, and the pathologic patterns were not corrected accurately on the PETDL images in b and c.

The potential pitfalls of PETDL are illustrated on noncorrected (left), attenuation- and scatter-corrected (middle), and deep learning–corrected (right) maximum intensity projection (MIP) PET images with (a) a missing one of two lesions in the chest (zoomed-in red box vs blue box), (b) an underestimated lesion in the spine, and (c, d) uncorrected pathologic structures in the chest (red vs blue dashed ellipse). A high-uptake lesion was missed in a and blurred in b, and the pathologic patterns were not corrected accurately on the PETDL images in b and c.