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Found 6 papers, 0 papers with code
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
In this work, we present for the first time a VN solution for a pulse-echo SoS image reconstruction problem using diverging waves with conventional transducers and single-sided tissue access.
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Simulation-based ultrasound training can be an essential educational tool.
Deep variational network for rapid 4D flow MRI reconstruction
Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis.
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
Tomographic image reconstruction is relevant for many medical imaging modalities including X-ray, ultrasound (US) computed tomography (CT) and photoacoustics, for which the access to full angular range tomographic projections might be not available in clinical practice due to physical or time constraints.
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging
Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI).
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging
Speed-of-sound is a biomechanical property for quantitative tissue differentiation, with great potential as a new ultrasound-based image modality.
