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Found 4 papers, 0 papers with code
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium
Our approach integrates a physics-based forward model that accounts for the propagation of a collimated ultrasonic beam in multi-layered media, a spatially varying image prior, and a denoiser designed to suppress the ringing artifacts that are characteristic of reconstructions from high-fractional bandwidth ultrasound sensor data.
Model-based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems
Collimated beam ultrasound systems are a technology for imaging inside multi-layered structures such as geothermal wells.
Model-Based Reconstruction for Collimated Beam Ultrasound Systems
Collimated beam ultrasound systems are a novel technology for imaging inside multi-layered structures such as geothermal wells.
X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR
We then train a 2. 5D deep convolutional neural network [4], deemed 2. 5D Deep Learning MBIR (2. 5D DL-MBIR), on these pairs of noisy and high-quality 3D volumes to learn a fast, non-linear mapping function.
