Publications related to Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging

Iterative image subset processing for image reconstruction

Paul Hurley, Matthieu Martin Jean-André Simeoni, Giovanni Cherubini, Sanaz Kazemi

The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest a ...

2017

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

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}

denotes the indicator function and

p

is some r ...

2016

The effects of molecular diffusion in spatially encoded magnetic resonance imaging

Geoffrey Bodenhausen, Sina Marhabaie

In spatially encoded MRI, the signal is acquired sequentially for different coordinates. In particular for single-scan acquisitions in inhomogeneous fields, spatially encoded methods improve the image quality compared to traditional k-space encoding. Previ ...

Academic Press Inc Elsevier Science2016

Sparse regularization methods in ultrafast ultrasound imaging

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Adrien Georges Jean Besson, Olivier Bernard

Ultrafast ultrasound (US) imaging based on plane wave (PW) insonification is a widely used modality nowadays. Two main types of approaches have been proposed for image reconstruction either based on classical delay-and-sum (DAS) or on Fourier reconstructio ...

Ieee2016

Parallel imaging with phase scrambling

Rolf Gruetter, Daniel Gallichan

PURPOSE: Most existing methods for accelerated parallel imaging in MRI require additional data, which are used to derive information about the sensitivity profile of each radiofrequency (RF) channel. In this work, a method is presented to avoid the acquisi ...

Wiley-Blackwell2015

Joint Acquisition of Color and Near-Infrared Images on a Single Sensor

Zahra Sadeghipoor Kermani

In the past few years, fusing NIR and color images has been explored in general computational photography and computer vision tasks, where traditionally only color images are used. The additional information provided by the differences of light and scene r ...

EPFL2015

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

Daniel Gallichan

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 ...

Wiley-Blackwell2015

Exploring information retrieval using image sparse representations

William Guicquéro

New advances in the field of image sensors (especially in CMOS technology) tend to question the conventional methods used to acquire the image. Compressive Sensing (CS) plays a major role in this, especially to unclog the Analog to Digital Converters which ...

EPFL2015

Self-Navigation with Compressed Sensing for 2D translational Motion Correction in Free-Breathing Coronary MRI: a Feasibility Study

Yves Wiaux, Gilles Puy, Ruud van Heeswijk, Davide Piccini, Gabriele Vincenzo Bonanno

Purpose Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based ...

Public Library of Science2014

Luminance driven sparse representation based demosaicking

Mattia Rossi

Typical consumer cameras sense at each pixel only one out of the three color components the representation of a color image requires. Then the missing components are estimated via a procedure referred to as demosaicking. The recent spread of sparse regular ...

2014

Fully automated gridding reconstruction for non-Cartesian x-space magnetic particle imaging

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Iterative image subset processing for image reconstruction

Sampling and Reconstruction of Shapes with Algebraic Boundaries

The effects of molecular diffusion in spatially encoded magnetic resonance imaging

Sparse regularization methods in ultrafast ultrasound imaging

Parallel imaging with phase scrambling

Joint Acquisition of Color and Near-Infrared Images on a Single Sensor

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

Exploring information retrieval using image sparse representations

Self-Navigation with Compressed Sensing for 2D translational Motion Correction in Free-Breathing Coronary MRI: a Feasibility Study

Luminance driven sparse representation based demosaicking

Joint Acquisition of Color and Near-Infrared Images on a Single Sensor

The effects of molecular diffusion in spatially encoded magnetic resonance imaging

Self-Navigation with Compressed Sensing for 2D translational Motion Correction in Free-Breathing Coronary MRI: a Feasibility Study

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

Sparse regularization methods in ultrafast ultrasound imaging

Exploring information retrieval using image sparse representations

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Iterative image subset processing for image reconstruction

Parallel imaging with phase scrambling

Luminance driven sparse representation based demosaicking