Functional imaging

Applied sciences
Health sciences
Radiologie médicale
Radiologie médicale

Publications associées (30)

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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

The perspectives of mapping and monitoring of the sense of self in neurosurgical patients

Olaf Blanke, Bruno Herbelin, Hyeongdong Park, Sophie Jacqueline Andrée Betka, Pavo Orepic, Sixto Luis Alcoba Banqueri, Giannina Rita Iannotti

Surgical treatment of tumors, epileptic foci or of vascular origin, requires a detailed individual pre-surgical workup and intra-operative surveillance of brain functions to minimize the risk of post-surgical neurological deficits and decline of quality of ...

SPRINGER WIEN2021

Subcellular Chemical Imaging: New Avenues in Cell Biology

Melissa Kathleen Passarelli

To better understand the physiology and acclimation capability of the cell, one of the great challenges of the future is to access the interior of a cell and unveil its chemical landscape (composition and distribution of elements and molecules). Chemical i ...

ELSEVIER SCIENCE LONDON2020

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling To Machine Learning

Marcel Arditi

Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell. With ...

2020

Dynamic distortion correction for functional MRI using FID navigators

Tobias Kober

Purpose To develop a method for slice-wise dynamic distortion correction for EPI using rapid spatiotemporal B(0)field measurements from FID navigators (FIDnavs) and to evaluate the efficacy of this new approach relative to an established data-driven techni ...

WILEY2021

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Meritxell Bach Cuadra, Tobias Kober, Reto Meuli, João Pedro Forjaco Jorge, Cristina Granziera, Francesco La Rosa, Jonas Richiardi, Mario Joao Fartaria de Oliveira

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a ...

2020

Roadmap toward the 10 ps time-of-flight PET challenge

Edoardo Charbon, Mathieu Benoit, Christian Morel, Joao Varela

Since the seventies, positron emission tomography (PET) has become an invaluable medical molecular imaging modality with an unprecedented sensitivity at the picomolar level, especially for cancer diagnosis and the monitoring of its response to therapy. Mor ...

IOP PUBLISHING LTD2020

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by a composite framewise ...

2020

An Overview of Functional Magnetic Resonance Imaging Techniques for Organizational Research

Kerstin Preuschoff, Leyla Loued-Khenissi

Functional magnetic resonance imaging is a galvanizing tool for behavioral scientists. It provides a means by which to see what the brain does while a person thinks, acts, or perceives, without invasive procedures. In this, fMRI affords us a relatively eas ...

SAGE PUBLICATIONS INC2019

Multi-slice passband bSSFP for human and rodent fMRI at ultra-high field

Rolf Gruetter, Ileana Ozana Jelescu, Rodrigo Araujo Fraga Da Silva, Olivier Benoit Thomas Reynaud

Balanced steady-state free precession (bSSFP) can be used as an alternative to gradient-echo (GE) EPI for BOLD functional MRI when image distortions and signal drop-outs are severe such as at ultra-high field. However, 3D-bSSFP acquisitions have distinct d ...

Academic Press Inc - Elsevier Science2019

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