The application relates to a multi-b-value joint high-definition
diffusion magnetic
resonance intelligent imaging method, and relates to image reconstruction. 1)
data acquisition, containing multi-shot interleaved
echo planar diffusion weighted data with b values of 0 s / mm 2 and other b values; 2) generating a training
data set, reconstructing a magnetic
resonance image with a b value of 0 s / mm 2 , estimating channel sensitivity from the image with a b value of 0; using PAIR to reconstruct
diffusion weighted data with other b values as training labels; 3) designing a diffusion weighted intelligent imaging model and a
loss function; 4) training a joint multi-b-value intelligent reconstruction network using the training
data set; 5) acquiring multi-shot diffusion weighted
test data to be reconstructed; 6) reconstructing multi-shot diffusion weighted data using the trained intelligent reconstruction network to obtain a reconstructed image. The time for reconstructing a single picture by using a traditional
algorithm can be reduced from 1-2 min to 0.2 s, multi-shot diffusion weighted images can be quickly reconstructed, the
signal-to-
noise ratio and the
image quality can be improved, and Nyquist
ghosting can be suppressed.