Deblurring for spiral real-time MRI using convolutional neural networksDownload PDF

25 Jan 2020 (modified: 27 Jun 2020)MIDL 2020 Conference Blind SubmissionReaders: Everyone
  • Keywords: Artifact correction, CNN, deblurring, off-resonance, real-time MRI
  • Abstract: Spiral acquisitions are preferred in real-time MRI because of their time efficiency. A fundamental limitation of spirals is image blurring due to off-resonance, which degrades image quality significantly at air-tissue boundaries. Here, we demonstrate a simple CNN-based deblurring method for spiral real-time MRI of human speech production. We show the CNN-based deblurring is capable of restoring blurred vocal tract tissue boundaries, without a need for exam-specific field maps. Deblurring performance is superior to a current auto-calibrated method, and slightly inferior to ideal reconstruction with perfect knowledge of the field maps.
  • Track: short paper
  • Paper Type: well-validated application
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