Research Article

Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging

Table 1

The detection results of the ED frame in 10 subjects from the first slice (s1) to the tenth slice (s10). ED ± n denotes the deviation of the ED detection in n frames. T and F represent the true and false detection results, respectively.

Subject12345678910

s1FFTTFFTFFF
s2TTTTTTTTTT
s3TTTTTTTTTT
s4TTTTTTTTTT
s5TTTTTTTTTT
s6TTTTTTTTTT
s7TTTTTTTTTT
s8TTTTTTTTTED − 1
s9TED + 1TFTTTTTED + 1
s10FFFFFFFFFF