Publications related to Analytical Form Of Shepp-Logan Phantom For Parallel Mri

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, José Pedro Rebelo Ferreira Marques

Purpose To obtain whole-brain high-resolution T-2 maps in 2 minutes by combining simultaneous multislice excitation and low-power PINS (power independent of number of slices) refocusing pulses with undersampling and a model-based reconstruction. Methods A ...

WILEY2019

3D Bpconvnet To Reconstruct Parallel Mri

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In recent years, compressed sensing techniques have been applied to the reconstruction of parallel magnetic resonance (MR) images. Particularly for 3D MR signal, it is crucial to acquire fewer samples to reduce the distortions caused by long-time acquisiti ...

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Magnetic resonance imaging (MRI) has yielded great success as a medical imaging modality in the past decades, and its excellent soft tissue contrast is used in clinical routine to support diagnosis today. However, MRI is still facing challenges. For exampl ...

EPFL2018

A semi-algebraic version of Zarankiewicz's problem

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A bipartite graph G is semi-algebraic in R-d if its vertices are represented by point sets P,Q subset of R-d and its edges are defined as pairs of points (p,q) epsilon P x Q that satisfy a Boolean combination of a fixed number of polynomial equations and i ...

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

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We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

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p

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Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

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PurposeIn this work, the limits of image reconstruction in k-space are explored when non-bijective gradient fields are used for spatial encoding. TheoryThe image space analogy between parallel imaging and imaging with non-bijective encoding fields is parti ...

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Iterative image subset scanning for image reconstruction from sensor signals

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Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method ...

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Single-Shot Imaging with Higher-Dimensional Encoding Using Magnetic Field Monitoring and Concomitant Field Correction

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PurposePatLoc (Parallel Imaging Technique using Localized Gradients) accelerates imaging and introduces a resolution variation across the field-of-view. Higher-dimensional encoding employs more spatial encoding magnetic fields (SEMs) than the corresponding ...

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Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

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We propose a new variational framework for the problem of reconstructing flow fields from noisy measurements. The formalism is based on regularizers penalizing the singular values of the Jacobian of the field. Specifically, we rely on the nuclear norm. Our ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Near-Infrared Optical Tomography with Single-Photon Avalanche Diode Image Sensors

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In the past decades different methods based on magnetic resonance imaging (MRI) and positron emission tomography (PET) have been developed to image a variety of hemodynamic parameters in tissue. However, simultaneous high resolution imaging of oxy- and deo ...

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Analytical Form Of Shepp-Logan Phantom For Parallel Mri

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Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

3D Bpconvnet To Reconstruct Parallel Mri

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

A semi-algebraic version of Zarankiewicz's problem

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

Iterative image subset scanning for image reconstruction from sensor signals

Single-Shot Imaging with Higher-Dimensional Encoding Using Magnetic Field Monitoring and Concomitant Field Correction

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data

Near-Infrared Optical Tomography with Single-Photon Avalanche Diode Image Sensors

Fast model-based T-2 mapping using SAR-reduced simultaneous multislice excitation

3D Bpconvnet To Reconstruct Parallel Mri

Single-Shot Imaging with Higher-Dimensional Encoding Using Magnetic Field Monitoring and Concomitant Field Correction

A semi-algebraic version of Zarankiewicz's problem

Near-Infrared Optical Tomography with Single-Photon Avalanche Diode Image Sensors

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

Iterative image subset scanning for image reconstruction from sensor signals

Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data