Publications related to Differential Phase-Contrast X-Ray Computed Tomography: From Model Discretization To Image Reconstruction

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Optical tomography has been widely investigated for biomedical imaging applications. In recent years, it has been combined with digital holography and has been employed to produce high quality images of phase objects such as cells. In this Thesis, we look ...

EPFL2018

Compact lensless digital holography

Manon Rostykus

Microscopy is of high interest for biology since it allows imaging features that are too small to be seen with naked eyes. However, cells are mostly transparent to visible and infrared light which makes it difficult to see with a traditional microscope. To ...

EPFL2018

Robust and adaptive approaches for Relative Geologic Time Estimation

Mireille El Gheche

For a geoscientist, the Relative Geologic Time (RGT) is an important tool to perform chronostratigraphic analysis. However, automatically estimate an RGT image from a seismic image can be a challenging task where we have to respect seismic features, the de ...

ELSEVIER SCIENCE BV2018

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

Michaël Unser, Thanh-An Michel Pham, Emmanuel Emilien Louis Soubies

Optical diffraction tomography relies on solving an inverse scattering problem governed by the wave equation. Classical reconstruction algorithms are based on linear approximations of the forward model (Born or Rytov), which limits their applicability to t ...

2017

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Michaël Unser, Laurène Donati, Emmanuel Emilien Louis Soubies, Ferréol Arnaud Marie Soulez

We present a unifying framework for the development of state-of-the-art reconstruction algorithms in computational optics with a clear separation between the physical (forward model) and signal-related (regularization, incorporation of prior constraints) a ...

OSA2017

Acoustic DoA Estimation by One Unsophisticated Sensor

Martin Vetterli, Ivan Dokmanic, Dalia Salem Hassan Fahmy El Badawy

We show how introducing known scattering can be used in direction of arrival estimation by a single sensor. We first present an analysis of the geometry of the underlying measurement space and show how it enables localizing white sources. Then, we extend t ...

Springer Verlag2017

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Emrah Bostan

We propose new regularization models to solve inverse problems encountered in biomedical imaging applications. In formulating mathematical schemes, we base our approach on the sparse signal processing principles that have emerged as a central paradigm in t ...

EPFL2016

Fast 3D reconstruction method for differential phase contrast X-ray CT

Michaël Unser, Masih Nilchian, Michael Thompson McCann, Marco Stampanoni

We present a fast algorithm for fully 3D regularized X-ray tomography reconstruction for both traditional and differential phase contrast measurements. In many applications, it is critical to reduce the X-ray dose while producing high-quality reconstructio ...

2016

Joint absorption and phase retrieval in grating-based x-ray radiography

Michaël Unser, Emrah Bostan, Masih Nilchian, Marco Stampanoni, Mohammad Reza Nilchiyan

Given the raw absorption and differential phase-contrast images obtained from a grating-based x-ray radiography, we formulate the joint denoising of the absorption image and retrieval of the non-differential phase image as a regularized inverse problem. Th ...

Optical Society of America2016

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Michaël Unser, Julien René Pierre Fageot, Harshit Gupta

We present a theoretical analysis and comparison of the effect of

ℓ _{ 1 }

versus

ℓ _{ 2 }

regularization for the resolution of ill-posed linear inverse and/or compressed sensing problems. Our formulation covers the most general setting where the s ...

IEEE2016

Differential Phase-Contrast X-Ray Computed Tomography: From Model Discretization To Image Reconstruction

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3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Compact lensless digital holography

Robust and adaptive approaches for Relative Geologic Time Estimation

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Acoustic DoA Estimation by One Unsophisticated Sensor

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Fast 3D reconstruction method for differential phase contrast X-ray CT

Joint absorption and phase retrieval in grating-based x-ray radiography

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Compact lensless digital holography

Robust and adaptive approaches for Relative Geologic Time Estimation

3D Reconstruction of Optical Diffraction Tomography Based on a Neural Network Model

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems

Fast 3D reconstruction method for differential phase contrast X-ray CT

Acoustic DoA Estimation by One Unsophisticated Sensor

Joint absorption and phase retrieval in grating-based x-ray radiography

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization