A
Anne Menini
Researcher at GE Healthcare
Publications - 34
Citations - 476
Anne Menini is an academic researcher from GE Healthcare. The author has contributed to research in topics: Image quality & Imaging phantom. The author has an hindex of 8, co-authored 33 publications receiving 373 citations. Previous affiliations of Anne Menini include University of Lorraine & General Electric.
Papers
More filters
Journal ArticleDOI
Zero TE MR bone imaging in the head.
Florian Wiesinger,Laura Sacolick,Anne Menini,Sandeep Kaushik,Sangtae Ahn,Patrick Veit-Haibach,Gaspar Delso,Gaspar Delso,Dattesh Dayanand Shanbhag +8 more
TL;DR: To investigate proton density‐weighted zero TE (ZT) imaging for morphological depiction and segmentation of cranial bone structures, proton densities are measured through X-ray diffraction and radiolysis.
Journal ArticleDOI
Free-breathing, zero-TE MR lung imaging
Fabio Gibiino,Fabio Gibiino,Laura Sacolick,Anne Menini,Luigi Landini,Luigi Landini,Florian Wiesinger +6 more
TL;DR: Three-dimensional radial, zero-echo time (TE) imaging for high-resolution, free-breathing magnetic resonance (MR) lung imaging using prospective and retrospective motion correction and Zero-TE appears to be an attractive pulse sequence for 3D isotropic lung imaging.
Journal ArticleDOI
Joint Reconstruction of Multiple Images and Motion in MRI: Application to Free-Breathing Myocardial ${\rm T}_{2}$ Quantification
Freddy Odille,Anne Menini,Jean-Marie Escanye,Pierre-André Vuissoz,Pierre-Yves Marie,Marine Beaumont,Jacques Felblinger +6 more
TL;DR: A joint optimization framework is proposed for reconstructing multiple MR images together with a nonrigid motion model that takes into account both intra-image and inter-image motion and therefore can correct for most ghosting/blurring artifacts and misregistration between images.
Journal ArticleDOI
Quiet and distortion-free, whole brain BOLD fMRI using T2 -prepared RUFIS.
TL;DR: To develop and evaluate a novel MR method that addresses some of the most eminent technical challenges of current BOLD‐based fMRI in terms of acoustic noise and geometric distortions and signal dropouts.
Journal ArticleDOI
Isotropic Reconstruction of MR Images Using 3D Patch-Based Self-Similarity Learning
Aurelien Bustin,Damien Voilliot,Anne Menini,Jacques Felblinger,Christian de Chillou,Darius Burschka,Laurent Bonnemains,Freddy Odille +7 more
TL;DR: A novel isotropic 3D reconstruction scheme that integrates non-local and self-similarity information from 3D patch neighborhoods is proposed that outperforms current state-of-the-art methods.