Project

Back to overview

Advanced signal processing on the sphere for high angular resolution diffusion magnetic resonance imaging

English title Advanced signal processing on the sphere for high angular resolution diffusion magnetic resonance imaging
Applicant Wiaux Yves
Number 138311
Funding scheme Project funding (Div. I-III)
Research institution Laboratoire de traitement des signaux 5 EPFL - STI - IEL - LTS5
Institution of higher education EPF Lausanne - EPFL
Main discipline Information Technology
Start/End 01.04.2012 - 31.08.2016
Approved amount 233'391.00
Show all

All Disciplines (2)

Discipline
Information Technology
Biomedical Engineering

Keywords (4)

Diffusion magnetic resonance imaging; Structural neuronal connectivity; Signal processing on the sphere; Efficient and compressive sampling

Lay Summary (English)

Lead
Lay summary

The anisotropy of diffusion in white matter can be exploited for mapping the structural neuronal connectivity of the brain, and structures invisible with other imaging modalities can be highlighted. The study of this connectivity is of course of major importance in a fundamental neuroscience perspective, for developing our understanding of the brain, but also in a clinical perspective, with particular applications for the understanding of stroke, schizophrenia, or Parkinson’s disease. As a consequence, our ability to achieve high angular resolution diffusion magnetic resonance (MR) imaging represents an important challenge for neuroscience.

The state-of-the-art diffusion spectrum imaging modality, which relies on Cartesian signal sampling, is known to provide good imaging quality but is significantly too time-consuming to be of real interest in a clinical perspective. Accelerated acquisitions, relying on a smaller number of sampling points, are thus required.

The primary aim of this project is to define advanced acquisition strategies for accelerated high angular resolution diffusion MR imaging. Since the signal of interest, identifying the fiber directions, lives on the sphere, we will consider multiple spherical shell sampling rather then Cartesian sampling, as suggested by recent approaches. The originality of our approach resides in the fact the our sampling strategies will be driven by the conditions of a new sampling theorem on the sphere, with the aim of avoiding as much as possible interpolation and aliasing issues that may hamper the imaging quality.

At the reconstruction level, in each voxel of the brain, the imaging problem for diffusion will be formulated in terms of denoising, deconvolution or even compressive sampling problems for the recovery of a sparse signal on the sphere, where the sparsity stems from the small number of fiber directions of interest.

The main applicant of this project has recognized expertise in signal processing on the sphere, sparsity applications, and compressive sampling, while the other applicants have an extensive expertise in diffusion MR imaging and its applications to structural connectivity analysis. Their collaboration therefore sets ideal grounds for the expected breakthroughs towards accelerated high angular resolution diffusion MR imaging.


Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

Employees

Publications

Publication
Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space
Auría Rasclosa Anna, Romascano David Paul Roger, Canales-Rodriguez Erick J., Dyrby Tim B., Alexander Daniel C., Thiran Jean-Philippe, Wiaux Yves, Daducci Alessandro (2016), Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space, in ISMRM, ISMRM, ISMRM.
Reducing acquisition time for microstructure imaging with spatially-regularized global optimization
Auría Rasclosa Anna, Romascano David Paul Roger, Canales-Rodriguez Erick J., Dyrby Tim B., Alexander Daniel C., Thiran Jean-Philippe, Wiaux Yves, Daducci Alessandro (2016), Reducing acquisition time for microstructure imaging with spatially-regularized global optimization, in OHBM, OHBM, OHBM.
Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres ({AMICO}x)
Auría Rasclosa Anna, Romascano David Paul Roger, Canales-Rodriguez Eric, Wiaux Yves, Dirby T. B., Alexander Daniel, Thiran Jean-Philippe, Daducci Alessandro (2015), Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres ({AMICO}x), in IEEE ICIP, IEEE, IEEE.
Accelerated Microstructure Imaging via Convex Optimization ({AMICO}) in crossing fibers
Auría Rasclosa Anna, Canales-Rodriguez Erick, Wiaux Yves, Dyrby Tim, Alexander Daniel, Thiran Jean-Philippe, Daducci Alessandro (2015), Accelerated Microstructure Imaging via Convex Optimization ({AMICO}) in crossing fibers, in ISMRM, ISMRM, ISMRM.
Structured sparsity for spatially coherent fibre orientation estimation in diffusion {MRI}
Auría Rasclosa Anna, Daducci Alessandro, Thiran Jean-Philippe, Wiaux Yves (2015), Structured sparsity for spatially coherent fibre orientation estimation in diffusion {MRI}, in Neuroimage, 115, 245-255.
Structured sparsity through reweighting and application to diffusion {MRI}
Auría Rasclosa Anna, Daducci Alessandro, Thiran Jean-Philippe, Wiaux Yves (2015), Structured sparsity through reweighting and application to diffusion {MRI}, in EUSIPCO, EUSIPCO, EUSIPCO.
Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion {MRI}
Daducci Alessandro, Canales-Rodríguez Erick Jorge, Descoteaux Maxime, Garyfallidis Eleftherios, Gur Yaniv, Lin Ying-Chia, Mani Merry, Merlet Sylvain, Paquette Michael, Ramirez-Manzanares Alonso, Reisert Marco, Rodrigues Paulo Reis, Sepehrband Farshid, Jacob Mathews, Caruyer Emmanuel, Choupan Jeiran, Deriche Rachid, Menegaz Gloria, Prckovska Vesna, Rivera Mariano, Wiaux Yves, Thiran Jean-Philippe (2014), Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion {MRI}, in {IEEE} Transactions on Medical Imaging, 33(2), 384-399.
Sparse regularization for fiber {ODF} reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$
Daducci Alessandro, Van De Ville Dimitri, Thiran Jean-Philippe, Wiaux Yves (2014), Sparse regularization for fiber {ODF} reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$, in Medical Image Analysis, 18, 820.
Sparsity in tensor optimization for optical-interferometric imaging
Auría Rasclosa Anna, Carrillo Rafael, Thiran Jean-Philippe, Wiaux Yves (2014), Sparsity in tensor optimization for optical-interferometric imaging, in IEEE ICIP 2014, IEEE, IEEE.
Tensor optimization for optical-interferometric imaging
Auria Anna, Carrillo Rafael, Thiran Jean-Philippe, Wiaux Yves (2014), Tensor optimization for optical-interferometric imaging, in Monthly Notices Of The Royal Astronomical Society, 437(3), 2083-2091.
A convex optimization approach for image recovery from nonlinear measurements in optical interferometry
Auria A., Carrillo R., Wiaux Y. (2013), A convex optimization approach for image recovery from nonlinear measurements in optical interferometry, in BASP Frontiers 2013, Villars-sur-ollononline open access BASP proceedings, online open access BASP proceedings.
l0-deconvolution for compressive diffusion MRI
Daducci A., Auria A., Thiran J.-Ph., Wiaux Y. (2013), l0-deconvolution for compressive diffusion MRI, in BASP Frontiers 2013, Villars-sur-Ollononline open access BASP proceedings, online open access BASP proceedings.

Collaboration

Group / person Country
Types of collaboration
CMIC, University College London: Prof. D. Alexander Great Britain and Northern Ireland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
FIDMAG Germanes Hospitalaries: Dr E. Canales Rodriguez Spain (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
Copenhagen University Hospital: T.B. Dirby Denmark (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
Institute of BioEngineering, EPF Lausanne: Prof D Van de Ville Switzerland (Europe)
- Publication
- Exchange of personnel

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
OHBM16 Poster Reducing acquisition time for microstructure imaging with spatially-regularized global optimization 26.06.2016 Geneva, Switzerland Wiaux Yves; Auria Rasclosa Anna; Thiran Jean-Philippe;
ISMRM16 Poster Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space 07.05.2016 Singapore, Singapore Wiaux Yves; Auria Rasclosa Anna; Thiran Jean-Philippe;
ICIP15 Poster Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx) 27.09.2015 Quebec, Canada Thiran Jean-Philippe; Auria Rasclosa Anna; Wiaux Yves;
EUSIPCO15 Talk given at a conference Structured sparsity through reweighting and application to diffusion MRI 31.08.2015 Nice, France Thiran Jean-Philippe; Wiaux Yves; Auria Rasclosa Anna;
ISMRM15 Poster Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers 30.05.2015 Toronto, Canada Wiaux Yves; Thiran Jean-Philippe; Auria Rasclosa Anna;
Special Session on Astronomical Imaging, ICIP Conference 2014 Talk given at a conference Sparsity in tensor optimization for optical-interferometric imaging 12.10.2014 Paris, France Auria Rasclosa Anna; Thiran Jean-Philippe; Wiaux Yves;
Astronomical Data Analysis (ADA) Conference Talk given at a conference A novel convex optimisation approach to optical interferometric imaging 14.05.2012 Cargèse, France, France Thiran Jean-Philippe; Wiaux Yves; Auria Rasclosa Anna;


Self-organised

Title Date Place
BASP Frontiers 2015 25.01.2015 Villars-sur-Ollon, Switzerland
HARDI reconstruction challenge 2013 (Hosted by ISBI 2013) 07.04.2013 San Fransisco, USA, United States of America
BASP Frontiers 2013 27.01.2013 Villars-sur-Ollon, Switzerland

Associated projects

Number Title Start Funding scheme
175974 Regularized Linear Inverse Problems in Diffusion Magnetic Resonance and Ultrasound Imaging 01.11.2017 Project funding (Div. I-III)
146594 Next-generation calibration and imaging in radio interferometry 01.08.2013 Project funding (Div. I-III)
130359 Compressed sensing imaging techniques for radio interferometry 01.06.2010 Project funding (Div. I-III)
140861 Advanced signal processing for calibration and imaging in radio interferometry 01.08.2012 Project funding (Div. I-III)
150828 Development of Advanced Translational High-Field MRI 12.05.2014 R'EQUIP

Abstract

The anisotropy of diffusion in white matter can be exploited for mapping the structural neuronal connectivity of the brain, and structures invisible with other imaging modalities can be highlighted. The study of this connectivity is of course of major importance in a fundamental neuroscience perspective, for developing our understanding of the brain, but also in a clinical perspective, with particular applications for the understanding of stroke, schizophrenia, or Parkinson’s disease. As a consequence, our ability to achieve high angular resolution diffusion magnetic resonance (MR) imaging represents an important challenge for neuroscience.The state-of-the-art diffusion spectrum imaging modality, which relies on Cartesian signal sampling, is known to provide good imaging quality but is significantly too time-consuming to be of real interest in a clinical perspective. Accelerated acquisitions, relying on a smaller number of sampling points, are thus required.The primary aim of this project is to define advanced acquisition strategies for accelerated high angular resolution diffusion MR imaging. Since the signal of interest, identifying the fiber directions, lives on the sphere, we will consider multiple spherical shell sampling rather then Cartesian sampling, as suggested by recent approaches. The originality of our approach resides in the fact the our sampling strategies will be driven by the conditions of a new sampling theorem on the sphere, with the aim of avoiding as much as possible interpolation and aliasing issues that may hamper the imaging quality.At the reconstruction level, in each voxel of the brain, the imaging problem for diffusion will be formulated in terms of denoising, deconvolution or even compressive sampling problems for the recovery of a sparse signal on the sphere, where the sparsity stems from the small number of fiber directions of interest.The main applicant of this project has recognized expertise in signal processing on the sphere, sparsity applications, and compressive sampling, while the other applicants have an extensive expertise in diffusion MR imaging and its applications to structural connectivity analysis. Their collaboration therefore sets ideal grounds for the expected breakthroughs towards accelerated high angular resolution diffusion MR imaging.
-