Publication
Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T
Publications associées (52)
Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation
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Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...
Berlin20233D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy
To obtain a more complete understanding of material microstructure at the nanoscale and to gain profound insights into their properties, there is a growing need for more efficient and precise methods that can streamline the process of 3D imaging using a tr ...
EPFL2023Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design
Current research of designing prosthetic robotic hands mainly focuses on improving their functionality by devising new mechanical structures and actuation systems. Most of existing work relies on a single structure/system (e.g., bone-only or tissue-only) a ...
WHIOCE PUBLISHING PTE LTD, SINGAPORE2022Bragg edge tomography characterization of additively manufactured 316L steel
Roland Logé, Christian Leinenbach, Efthymios Polatidis, Markus Strobl, Nikola Kalentics
In this work we perform a neutron Bragg edge tomography of stainless steel 316L additive manufacturing samples, one as built via standard laser powder bed fusion, and one using the novel three-dimensional (3D) laser shock peening technique. First, we consi ...
AMER PHYSICAL SOC2022Robust Isometric Non-Rigid Structure-From-Motion
Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...
IEEE COMPUTER SOC2022Structure-aware Multi-view 3D Reconstruction of Dislocations in TEM with Message Passing Neural Networks
Pascal Fua, Cécile Hébert, Emad Oveisi, Gulnaz Ganeeva, Anastasiia Mishchuk, Okan Altingövde
Efficient analysis of the three-dimensional (3D) shape and distribution of curvilinear crystal defects, namely dislocations, is an open research topic in material science and computer vision. In order to determine the structural and opto-electrical charact ...
2021Megapixel time-gated SPAD image sensor for 2D and 3D imaging applications
Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Andrei Ardelean, Ming-Lo Wu, Arin Can Ülkü, Kazuhiro Morimoto
We present a 1 Mpixel single-photon avalanche diode camera featuring 3.8 ns time gating and 24 kips frame rate, fabricated in 180 nm CMOS image sensor technology. We designed two pixels with a pitch of 9.4 mu m in 7 T and 5.75 T configurations respectively ...
OPTICAL SOC AMER2020Compression and visual quality assessment for light field contents
Since its invention in the 19th century, photography has allowed to create durable images of the world around us by capturing the intensity of light that flows through a scene, first analogically by using light-sensitive material, and then, with the advent ...
EPFL20191024-Channel Single 5W FPGA Towards High-quality Portable 3D Ultrasound Platform
Jean-Philippe Thiran, Giovanni De Micheli, Marcel Arditi, Aya Mohamed Naguib Ahmed Ibrahim, Ahmet Caner Yüzügüler
Volumetric Ultrasound (US) imaging is an emerging tech- nology for medical US applications. Typically, US imaging is 2D, where a number of vibrating elements, arranged in an array, are used to scan 2D cross-sections of the human body. In volumetric US a ma ...
2017Prospective head motion correction using FID-guided on-demand image navigators
Rolf Gruetter, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Reto Meuli, Guillaume Bonnier, Pavel Falkovskiy, Maryna Volodimirivna Waszak
PURPOSE: We suggest a motion correction concept that employs free-induction-decay (FID) navigator signals to continuously monitor motion and to guide the acquisition of image navigators for prospective motion correction following motion detection. METHODS: ...
Wiley-Blackwell2017