Artificial intelligence-assisted compressed sensing CINE enhances the workflow of cardiac magnetic resonance in challenging patients

Figure 3 Exceptional alignment between conventional CINE and artificial-intelligence-assisted compressed sensing CINE is demonstrated in a 76-year-old female patient diagnosed with cardiac amyloidosis. A: The short-axis stack vividly displays the apex, middle, and base of the left ventricle in both conventional CINE (C-CINE) (top row) and artificial-intelligence-assisted compressed sensing CINE (AI-CS-CINE) (bottom row); B: Furthermore, the 2-, 3-, and 4-chamber views exhibit outstanding agreement between C-CINE and AI-CS-CINE in this patient. The left ventricle appears mildly dilated. Additionally, small-to-moderate pericardial effusion (indicated by arrows) is clearly visualized on both C-CINE (top row) and AI-CS-CINE (bottom row), highlighting the consistency in detecting pathological features across both sequences. C-CINE: Conventional CINE; AI-CS-CINE: Artificial-intelligence-assisted compressed sensing CINE.