Figure 2
From: A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion
Plaque rupture and plaque erosion as seen on OCT, CTA, and CTA enhanced by DL model. Representative images of each label are shown. (A) shows an OCT image of plaque rupture. Plaque rupture is characterized by the presence of fibrous cap discontinuity with a cavity formation (asterisks) within the plaque. (A) also shows the residual ruptured cap (red arrow). (B,C) show CTA images of the corresponding site. (B) shows the ruptured cap (yellow arrow) protruding into the vessel lumen at the same site observed by OCT. (C) shows that the DL model attends on the ruptured cap and cavity. (D) shows an OCT image of plaque erosion. Definite plaque erosion is characterized by the presence of attached thrombus (blue arrow) overlying an intact and visualized plaque. (E,F) show CTA images of the corresponding site. (E) shows a small lumen surrounded by plaque without a cavity. (F) shows that the DL model attends on the site of stenosis without evidence of a cavity. In panels (C) and (F), the visualized model attention represents the relative importance as determined by the DL model for each specific image, with values normalized to a range between 0 and 1 for the images under consideration. CTA computed tomography angiography, DL deep learning, OCT optical coherence tomography, RI relative importance.
