Fast myocardial perfusion spect denoising using an attention-guided generative adversarial network

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SUMMARY

    The authors propose an attention-based cGAN (AttGAN) in denoising fast MP-SPECT projection images and compare its performance with Unet-based and cGAN-based denoising. The acquisition time for the conventional NaI-based MP-SPECT is relatively long (15-20 min), leading to potential motion artifacts, e_g, upward creep, patient`s discomfort, lower patient throughput, and mismatch artifacts between the sequential MP-SPECT and CT. Advanced reconstruction algorithms also facilitate the possibility of reducing acquisition time without degrading image_quality. Image noise is a substantial problem for fast MP-SPECT due to the limited . . .

     

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