Prof. Elsa D. Angelini Profile

Prof. Elsa D. Angelini

Prof at Telecom Paris

SPIE Involvement:

Conference Program Committee | Author | Editor

Proceedings Article | 2 April 2024 Presentation + Paper

Label refinement for noisy annotation in weakly supervised segmentation

Ziyi Huang, Hongshan Liu, Haofeng Zhang, Fuyong Xing, Andrew Laine, Elsa Angelini, Christine Hendon, Yu Gan

Proceedings Volume 12926, 129260W (2024) https://doi.org/10.1117/12.3006817

KEYWORDS: Image segmentation, Neural networks, Optical coherence tomography, Medical imaging, Deep learning

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Proceedings Article | 5 March 2021 Presentation

Automated adipose segmentation within cardiac optical coherence tomography images

Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Andrew Laine, Elsa Angelini, Christine Hendon

Proceedings Volume 11621, 1162107 (2021) https://doi.org/10.1117/12.2578814

KEYWORDS: Image segmentation, Optical coherence tomography, Heart, Tissues, Spectral resolution, Radiofrequency ablation, Machine learning, Image resolution, Image processing algorithms and systems, Binary data

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Proceedings Article | 24 August 2017 Paper

A sparsity-based simplification method for segmentation of spectral-domain optical coherence tomography images

William Meiniel, Yu Gan, Jean-Christophe Olivo-Marin, Elsa Angelini

Proceedings Volume 10394, 1039406 (2017) https://doi.org/10.1117/12.2274126

KEYWORDS: Image segmentation, Optical coherence tomography, Image denoising, Compressed sensing

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Proceedings Article | 11 September 2015 Paper

Image denoising by adaptive Compressed Sensing reconstructions and fusions

William Meiniel, Elsa Angelini, Jean-Christophe Olivo-Marin

Proceedings Volume 9597, 95970X (2015) https://doi.org/10.1117/12.2188648

KEYWORDS: Image fusion, Denoising, Reconstruction algorithms, Image processing, Compressed sensing, Fourier transforms, Image filtering, Image quality, Digital filtering, Image denoising

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Proceedings Article | 26 September 2013 Paper

Biological video reconstruction using linear or non-linear Fourier measurements

Yoann Le Montagner, Elsa Angelini, Jean-Christophe Olivo-Marin

Proceedings Volume 8858, 885818 (2013) https://doi.org/10.1117/12.2024282

KEYWORDS: Video, Phase retrieval, Video microscopy, Fourier transforms, Radon, Compressed sensing, Video compression, Detection theory, Reconstruction algorithms, Interference (communication)

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Proceedings Article | 27 September 2011 Paper

Numerical evaluation of subsampling effects on image reconstruction in compressed sensing microscopy

Yoann Le Montagner, Elsa Angelini, Jean-Christophe Olivo-Marin

Proceedings Volume 8138, 81380H (2011) https://doi.org/10.1117/12.893291

KEYWORDS: Image restoration, Binary data, Compressed sensing, Microscopy, Transform theory, Image processing, Error analysis, Image filtering, Wavelets, Matrices

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Proceedings Article | 15 March 2011 Paper

Implicit medial representation for vessel segmentation

Guillaume Pizaine, Elsa Angelini, Isabelle Bloch, Sherif Makram-Ebeid

Proceedings Volume 7962, 79623Q (2011) https://doi.org/10.1117/12.878048

KEYWORDS: Image segmentation, Convolution, Angiography, 3D image processing, Liver, Mathematical modeling, Medical imaging, 3D modeling, Image processing, Image processing algorithms and systems

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Proceedings Article | 4 September 2009 Paper

Compressed sensing in biological microscopy

Marcio de Moraes Marim, Elsa Angelini, Jean-Christophe Olivo-Marin

Proceedings Volume 7446, 744605 (2009) https://doi.org/10.1117/12.826275

KEYWORDS: Signal to noise ratio, Denoising, Microscopy, Luminescence, Interference (communication), Image restoration, Image acquisition, Compressed sensing, Molecules, Process control

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Proceedings Article | 16 March 2006 Paper

Superresolution spatial compounding techniques with application to 3D breast ultrasound imaging

Pau Soler, Gaspar Delso, Nicolas Villain, Elsa Angelini, Isabelle Bloch

Proceedings Volume 6147, 61470V (2006) https://doi.org/10.1117/12.653455

KEYWORDS: Speckle, Wavelets, Image fusion, Ultrasonography, Deconvolution, Tissues, Breast, Point spread functions, Signal to noise ratio, Spatial resolution

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Proceedings Article | 15 March 2006 Paper

Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

Bruno Vallet, Elsa Angelini, Andrew Laine

Proceedings Volume 6144, 61444A (2006) https://doi.org/10.1117/12.653692

KEYWORDS: Data modeling, 3D modeling, Image segmentation, Motion models, Echocardiography, Ultrasonography, Heart, 3D image processing, Spherical lenses, 3D scanning

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Proceedings Article | 29 April 2005 Paper

Recognition of micro-array protein crystals images using multi-scale representations

Ya Wang, David Kim, Elsa Angelini, Andrew Laine

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595902

KEYWORDS: Crystals, Proteins, Image classification, Image processing, Radon transform, Image filtering, Hough transforms, Neural networks, Databases, Feature extraction

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Proceedings Article | 12 April 2005 Paper

Evaluation of optical flow algorithms for tracking endocardial surfaces on three-dimensional ultrasound data

Qi Duan, Elsa Angelini, Susan Herz, Christopher Ingrassia, Olivier Gerard, Kevin Costa, Jeffrey Holmes, Andrew Laine

Proceedings Volume 5750, (2005) https://doi.org/10.1117/12.596890

KEYWORDS: Optical flow, Ultrasonography, Optical tracking, Detection and tracking algorithms, Data acquisition, 3D image processing, Transducers, Visualization, 3D acquisition, Automatic tracking

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With relatively high frame rates and the ability to acquire volume data sets with a stationary transducer, 3D ultrasound systems, based on matrix phased array transducers, provide valuable three-dimensional information, from which quantitative measures of cardiac function can be extracted. Such analyses require segmentation and visual tracking of the left ventricular endocardial border. Due to the large size of the volumetric data sets, manual tracing of the endocardial border is tedious and impractical for clinical applications. Therefore the development of automatic methods for tracking three-dimensional endocardial motion is essential. In this study, we evaluate a four-dimensional optical flow motion tracking algorithm to determine its capability to follow the endocardial border in three dimensional ultrasound data through time. The four-dimensional optical flow method was implemented using three-dimensional correlation. We tested the algorithm on an experimental open-chest dog data set and a clinical data set acquired with a Philips' iE33 three-dimensional ultrasound machine. Initialized with left ventricular endocardial data points obtained from manual tracing at end-diastole, the algorithm automatically tracked these points frame by frame through the whole cardiac cycle. A finite element surface was fitted through the data points obtained by both optical flow tracking and manual tracing by an experienced observer for quantitative comparison of the results. Parameterization of the finite element surfaces was performed and maps displaying relative differences between the manual and semi-automatic methods were compared. The results showed good consistency between manual tracing and optical flow estimation on 73% of the entire surface with fewer than 10% difference. In addition, the optical flow motion tracking algorithm greatly reduced processing time (about 94% reduction compared to human involvement per cardiac cycle) for analyzing cardiac function in three-dimensional ultrasound data sets.

Proceedings Article | 12 May 2004 Paper

Segmentation and quantitative evaluation of brain MRI data with a multiphase 3D implicit deformable model

Elsa Angelini, Ting Song, Brett Mensh, Andrew Laine

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535860

KEYWORDS: Image segmentation, Magnetic resonance imaging, Brain, Tissues, 3D modeling, 3D image processing, Data modeling, Binary data, Neuroimaging, Clinical research

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Proceedings Article | 28 April 2004 Paper

Assessment of visual quality and spatial accuracy of fast anisotropic diffusion and scan conversion algorithms for real-time three-dimensional spherical ultrasound

Qi Duan, Elsa Angelini, Andrew Laine

Proceedings Volume 5373, (2004) https://doi.org/10.1117/12.535813

KEYWORDS: Anisotropic diffusion, Ultrasonography, Spherical lenses, Denoising, Data conversion, Image quality, Anisotropic filtering, Speckle, Diffusion, Visualization

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Proceedings Article | 9 May 2002 Paper

Improving statistics for hybrid segmentation of high-resolution multichannel images

Elsa Angelini-Casadevall, Celina Imielinska, Yinpeng Jin, Andrew Laine

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467182

KEYWORDS: Image segmentation, Quantization, RGB color model, Magnetic resonance imaging, Fuzzy logic, Binary data, Tissues, Brain, Bone, Distance measurement

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Proceedings Article | 4 December 2000 Paper

Spatiotemporal directional analysis of 4D echocardiography

Elsa Angelini-Casadevall, Andrew Laine, Shin Takuma, Shunichi Homma

Proceedings Volume 4119, (2000) https://doi.org/10.1117/12.408649

KEYWORDS: Speckle, Interference (communication), Ultrasonography, Denoising, Fourier transforms, Signal to noise ratio, Echocardiography, Spatial resolution, Phase measurement, Data modeling

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