Concept

Médecine nucléaire

Publications associées (81)

Learning to sample in Cartesian MRI

Magnetic Resonance Imaging (MRI) is a non-invasive, non-ionizing imaging modality with unmatched soft tissue contrast. However, compared to imaging methods like X-ray radiography, MRI suffers from long scanning times, due to its inherently sequential acqui ...

EPFL2022

Quantitative Microstructural Imaging for Clinical Use

Gian Franco Piredda

Today, Magnetic Resonance Imaging (MRI) is a well-established medical imaging modality thanks to its excellent soft tissue contrast. Conventional MR image contrasts can be weighted towards one or more physical properties that discriminate different tissues ...

EPFL2021

Ultrasound Imaging: From Physical Modeling to Deep Learning

Dimitris Perdios

Among the medical imaging modalities, ultrasound (US) imaging is one of the safest, most widespread, and least expensive method used in medical diagnosis. In the past decades, several technological advances enabled the advent of ultrafast US imaging, an ac ...

EPFL2021

Frequent new particle formation over the high Arctic pack ice by enhanced iodine emissions, ancillary data

Julia Schmale, Andrea Baccarini

This dataset contains a collection of ancillary data that were used for the publication Frequent new particle formation over the high Arctic pack ice by enhanced iodine emissions (Baccarini et al., 2020, Nature Comm.). Some of these datasets can be reprodu ...

2020

Methods and apparatus for tomographic additive manufacturing with a spatially coherent light source

Christophe Moser, Paul Delrot, Damien Claude-Marie Loterie

A method of fabricating a three-dimensional article comprises providing a spatially coherent light source (101, 201), generating from said light source (101, 201), patterns of light based on computed tomographic projections of said three-dimensional articl ...

2020

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Georges Wagnières, Xiaokang Wang, Sharib Ali

We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art computer vis ...

NATURE PUBLISHING GROUP2020

Monitoring radiation damage in the LHCb Tracker

Elena Graverini, Mark Tobin, Preema Rennee Pais, Pavol Stefko

This paper presents the techniques used to monitor radiation damage in the LHCb Tracker Turicensis during the LHC Runs 1 and 2. Bulk leakage currents in the silicon sensors were monitored continuously, while the full depletion voltages of the sensors were ...

2020

Glenoid bone strain after anatomical total shoulder arthroplasty: In vitro measurements with micro-CT and digital volume correlation

Dominique Pioletti, Alexandre Terrier, Alain Farron, Yasmine Boulanaache

Glenoid implant loosening remains a major source of failure and concern after anatomical total shoulder arthroplasty (aTSA). It is assumed to be associated with eccentric loading and excessive bone strain, but direct measurement of bone strain after aTSA i ...

2020

Uncertainty propagation based on correlated sampling technique for nuclear data applications

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

A correlated sampling technique has been implemented to estimate the impact of cross section modifications on the neutron transport and in Monte Carlo simulations in one single calculation. This implementation has been coupled to a Total Monte Carlo approa ...

2020

Zero-Learning Fast Medical Image Fusion

Sabine Süsstrunk, Fayez Lahoud

Clinical applications, such as image-guided surgery and noninvasive diagnosis, rely heavily on multi-modal images. Medical image fusion plays a central role by integrating information from multiple sources into a single, more understandable output. We prop ...

2019

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