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Medical image processing

Our main research objectif is to develop new methodologies for medical image processing. Most of our projects are related to neuroimaging, including functional magnetic resonance imaging (fMRI), laser Doppler imaging (LDI), and electroencephalography (EEG).

Sophisticated tools in signal processing and statistics are required to fully exploit the potential of functional brain imaging data, which are usually large, complex, and noisy. Among those tools, the wavelet transform receives our particular attention. Despite significant breakthroughs in this field, general-purpose wavelets have been used up to now, and significant gain can be expected by tailoring wavelets to the properties of the signals under investigation. For example, we study "activelets" that exploit the hemodynamic nature of the signal (such as the BOLD response in fMRI) and provide us with a more sparse representation (which is useful to derive stronger statistical measures).

Currently, fMRI data analysis is performed voxel-wise and does not allow to exploit spatial coupling. We propose to develop multivariate analyses based on machine learning techniques that can take advantage of subtle coupling between voxels and lead to backward inference; so-called "mind reading" based on fMRI data. Another research axis pursues better integration of analysis methods for intrinsic and evoked brain activity. Existing methodologies are very different according to the type of activity they want to process. Statistical methods such as blind source separation have been utilized to describe intrinsic brain activity while general linear models are the workhorse to tackle evoked activity. Our point-of-view is to consider intrinsic activity as an essential element that modulates evoked activity, for example through (low-frequency) fluctuations in brain networks. We investigate into a new methodology that leads to an integrated approach.

One of our primary research goals is to bridge the gap between theoretical advances and applications in neurosciences and medical imaging. To that aim, we collaborate closely with other laboratories in the Faculty of Medicine such as the Laboratory of Neurology and Imaging of Cognition (LABNIC) and the Functional Brain Mapping Lab. Our research also fits within the framework of the Brain and Behaviour Laboratory (BBL), the Center for Biomedical Imaging (CIBM), the Geneva Neuroscience Center, and the Interfacultary Center for Affectives Sciences (CISA). Our laboratory is not only related to the Department of Radiology and Medical Informatics, but also to the Ecole Polytechnique Fédérale de Lausanne (School of Engineering, Institute of Bioengineering).

Group's publications

Decoding of Emotional Information in Voice-Sensitive Cortices
CURRENT BIOLOGY : CB
2009 vol. 19(12) pp. 1028-1033
ETHOFER T, VAN DE VILLE D, SCHERER KLAUS R., VUILLEUMIER P

Invariances, Laplacian-like wavelet bases, and the whitening of fractal processes.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2009 vol. 18(4) pp. 689-702
TAFTI P, VAN DE VILLE D, UNSER M

Multiresolution monogenic signal analysis using the Riesz-Laplace wavelet transform.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2009 vol. 18(11 pp. 2402-2418
UNSER M, SAGE D, VAN DE VILLE D

Laser Doppler imaging for intraoperative human brain mapping.
NEUROIMAGE
2009 vol. 44(4) pp. 1284-1289
RAABE A AND AL.

The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations.
PHYSICS IN MEDICINE AND BIOLOGY
2009 vol. 54(14) pp. 303-318
BINZONI T, LEUNG TS, VAN DE VILLE D

Spontaneous NA+ transients in individual mitochondria of intact astrocytes.
GLIA
2008 vol. 56(3) pp. 342-353
AZARIAS G, VAN DE VILLE D, UNSER M, CHATTON JY

Complex wavelet bases, steerability, and the marr-like pyramid.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2008 vol. 17(11) pp. 2063-2080
UNSER M, VAN DE VILLE D

Model-based 2.5-d deconvolution for extended depth of field in brightfield microscopy.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2008 vol. 17(7) pp. 1144-1153
AGUET F, VAN DE VILLE D, UNSER M

Reversible, fast, and high-quality grid conversions.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2008 vol. 17(5) pp. 679-693
CONDAT L, VAN DE VILLE D, FORSTER-HEINLEIN B

The pairing of a wavelet basis with a mildly redundant analysis via subband regression.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2008 vol. 17(11) pp. 2040-2052
UNSER M, VAN DE VILLE D

Dynamic PET reconstruction using wavelet regularization with adapted basis functions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
2008 vol. 27(7) pp. 943-959
VERHAEGHE J, VAN DE VILLE D, KHALIDOV I, D'ASSELER Y, LEMAHIEU I, UNSER M

Practical box splines for reconstruction on the body centered cubic lattice.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
2008 vol. 14(2) pp. 313-328
ENTEZARI A, VAN DE VILLE D, MOELLER T

Full-field laser-Doppler imaging and its physiological significance for tissue blood perfusion.
PHYSICS IN MEDICINE AND BIOLOGY
2008 vol. 53(23) pp. 6673-6694
BINZONI T, VAN DE VILLE D

Quasi-interpolating spline models for hexagonally-sampled data.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2007 vol. 16(5) pp. 1195-1206
CONDAT L, VAN DE VILLE D

BSLIM: spectral localization by imaging with explicit B0 field inhomogeneity compensation
IEEE TRANSACTIONS ON MEDICAL IMAGING
2007 vol. 26(7) pp. 990-1000
KHALIDOV I, VAN DE VILLE D, JACOB M, LAZEYRAS F, UNSER M

Wavelet-based multi-resolution statistics for optical imaging signals: Application to automated detection of odour activated glomeruli in the mouse olfactory bulb.
NEUROIMAGE
2007 vol. 34(3) pp. 1020-1035
BATHELLIER B, VAN DE VILLE D, BLU T, UNSER M, CARLETON A

WSPM: wavelet-based statistical parametric mapping.
NEUROIMAGE
2007 vol. 37(4) pp. 1205-1217
VAN DE VILLE D, SEGHIER ML, LAZEYRAS FRANCOIS, BLU T, UNSER M

Surfing the brain.
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE : THE QUARTERLY MAGAZINE OF THE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY
2006 vol. 25(2) pp. 65-78
VAN DE VILLE D, BLU T, UNSER M

Polyharmonic smoothing splines and the multidimensional Wiener filtering of fractal-like signals.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2006 vol. 15(9) pp. 2616-2630
TIROSH S, VAN DE VILLE D, UNSER M

Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data.
NEUROIMAGE
2006 vol. 31(3) pp. 1142-1155
PATEL RS, VAN DE VILLE D, BOWMAN FD

An orthogonal family of quincunx wavelets with continuously adjustable order.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2005 vol. 14(4) pp. 499-510
FEILNER M, VAN DE VILLE D

Isotropic polyharmonic B-splines: scaling functions and wavelets.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2005 vol. 14(11) pp. 1798-1813
VAN DE VILLE D, BLU T, UNSER M

A maximum-likelihood formalism for sub-resolution axial localization of fluorescent nanoparticles.
OPTICS EXPRESS
2005 vol. 13(26) pp. 10503-10522
AGUET F, VAN DE VILLE D, UNSER M

Hex-splines: a novel spline family for hexagonal lattices.
IEEE TRANSACTIONS ON IMAGE PROCESSING
2004 vol. 13(6) pp. 758-772
VAN DE VILLE D, BLU T, UNSER M, PHILIPS W, LEMAHIEU I, VAN DE WALLE R.

Complex wavelets for extended depth-of-field: a new method for the fusion of multichannel microscopy images.
MICROSCOPY RESEARCH AND TECHNIQUE
2004 vol. 65(1-2) pp. 33-42
FORSTER B, VAN DE VILLE D, BERENT J, SAGE D, UNSER M

Research's domains




DATABASE-RESEARCH	GROUP OF BASIC RESEARCH

VAN DE VILLE D.	Head of group CV	Research subject	Members of the group


	Links about the group Prof. Van de Ville D. Dépt Radiol.Inform.Médic. HUG Rue Gabrielle-Perret-Gentil 4 1211 Genève 4 Suisse Dimitri.Vandeville@unige.ch Tel.: +41 22 372 52 15 Comments Pages updated the 17.11.2015		Reseach's subject \| Group's publications \| Research's domains Medical image processing Our main research objectif is to develop new methodologies for medical image processing. Most of our projects are related to neuroimaging, including functional magnetic resonance imaging (fMRI), laser Doppler imaging (LDI), and electroencephalography (EEG). Sophisticated tools in signal processing and statistics are required to fully exploit the potential of functional brain imaging data, which are usually large, complex, and noisy. Among those tools, the wavelet transform receives our particular attention. Despite significant breakthroughs in this field, general-purpose wavelets have been used up to now, and significant gain can be expected by tailoring wavelets to the properties of the signals under investigation. For example, we study "activelets" that exploit the hemodynamic nature of the signal (such as the BOLD response in fMRI) and provide us with a more sparse representation (which is useful to derive stronger statistical measures). Currently, fMRI data analysis is performed voxel-wise and does not allow to exploit spatial coupling. We propose to develop multivariate analyses based on machine learning techniques that can take advantage of subtle coupling between voxels and lead to backward inference; so-called "mind reading" based on fMRI data. Another research axis pursues better integration of analysis methods for intrinsic and evoked brain activity. Existing methodologies are very different according to the type of activity they want to process. Statistical methods such as blind source separation have been utilized to describe intrinsic brain activity while general linear models are the workhorse to tackle evoked activity. Our point-of-view is to consider intrinsic activity as an essential element that modulates evoked activity, for example through (low-frequency) fluctuations in brain networks. We investigate into a new methodology that leads to an integrated approach. One of our primary research goals is to bridge the gap between theoretical advances and applications in neurosciences and medical imaging. To that aim, we collaborate closely with other laboratories in the Faculty of Medicine such as the Laboratory of Neurology and Imaging of Cognition (LABNIC) and the Functional Brain Mapping Lab. Our research also fits within the framework of the Brain and Behaviour Laboratory (BBL), the Center for Biomedical Imaging (CIBM), the Geneva Neuroscience Center, and the Interfacultary Center for Affectives Sciences (CISA). Our laboratory is not only related to the Department of Radiology and Medical Informatics, but also to the Ecole Polytechnique Fédérale de Lausanne (School of Engineering, Institute of Bioengineering). Group's publications Decoding of Emotional Information in Voice-Sensitive Cortices CURRENT BIOLOGY : CB 2009 vol. 19(12) pp. 1028-1033 ETHOFER T, VAN DE VILLE D, SCHERER KLAUS R., VUILLEUMIER P Invariances, Laplacian-like wavelet bases, and the whitening of fractal processes. IEEE TRANSACTIONS ON IMAGE PROCESSING 2009 vol. 18(4) pp. 689-702 TAFTI P, VAN DE VILLE D, UNSER M Multiresolution monogenic signal analysis using the Riesz-Laplace wavelet transform. IEEE TRANSACTIONS ON IMAGE PROCESSING 2009 vol. 18(11 pp. 2402-2418 UNSER M, SAGE D, VAN DE VILLE D Laser Doppler imaging for intraoperative human brain mapping. NEUROIMAGE 2009 vol. 44(4) pp. 1284-1289 RAABE A AND AL. The photo-electric current in laser-Doppler flowmetry by Monte Carlo simulations. PHYSICS IN MEDICINE AND BIOLOGY 2009 vol. 54(14) pp. 303-318 BINZONI T, LEUNG TS, VAN DE VILLE D Spontaneous NA+ transients in individual mitochondria of intact astrocytes. GLIA 2008 vol. 56(3) pp. 342-353 AZARIAS G, VAN DE VILLE D, UNSER M, CHATTON JY Complex wavelet bases, steerability, and the marr-like pyramid. IEEE TRANSACTIONS ON IMAGE PROCESSING 2008 vol. 17(11) pp. 2063-2080 UNSER M, VAN DE VILLE D Model-based 2.5-d deconvolution for extended depth of field in brightfield microscopy. IEEE TRANSACTIONS ON IMAGE PROCESSING 2008 vol. 17(7) pp. 1144-1153 AGUET F, VAN DE VILLE D, UNSER M Reversible, fast, and high-quality grid conversions. IEEE TRANSACTIONS ON IMAGE PROCESSING 2008 vol. 17(5) pp. 679-693 CONDAT L, VAN DE VILLE D, FORSTER-HEINLEIN B The pairing of a wavelet basis with a mildly redundant analysis via subband regression. IEEE TRANSACTIONS ON IMAGE PROCESSING 2008 vol. 17(11) pp. 2040-2052 UNSER M, VAN DE VILLE D Dynamic PET reconstruction using wavelet regularization with adapted basis functions. IEEE TRANSACTIONS ON MEDICAL IMAGING 2008 vol. 27(7) pp. 943-959 VERHAEGHE J, VAN DE VILLE D, KHALIDOV I, D'ASSELER Y, LEMAHIEU I, UNSER M Practical box splines for reconstruction on the body centered cubic lattice. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2008 vol. 14(2) pp. 313-328 ENTEZARI A, VAN DE VILLE D, MOELLER T Full-field laser-Doppler imaging and its physiological significance for tissue blood perfusion. PHYSICS IN MEDICINE AND BIOLOGY 2008 vol. 53(23) pp. 6673-6694 BINZONI T, VAN DE VILLE D Quasi-interpolating spline models for hexagonally-sampled data. IEEE TRANSACTIONS ON IMAGE PROCESSING 2007 vol. 16(5) pp. 1195-1206 CONDAT L, VAN DE VILLE D BSLIM: spectral localization by imaging with explicit B0 field inhomogeneity compensation IEEE TRANSACTIONS ON MEDICAL IMAGING 2007 vol. 26(7) pp. 990-1000 KHALIDOV I, VAN DE VILLE D, JACOB M, LAZEYRAS F, UNSER M Wavelet-based multi-resolution statistics for optical imaging signals: Application to automated detection of odour activated glomeruli in the mouse olfactory bulb. NEUROIMAGE 2007 vol. 34(3) pp. 1020-1035 BATHELLIER B, VAN DE VILLE D, BLU T, UNSER M, CARLETON A WSPM: wavelet-based statistical parametric mapping. NEUROIMAGE 2007 vol. 37(4) pp. 1205-1217 VAN DE VILLE D, SEGHIER ML, LAZEYRAS FRANCOIS, BLU T, UNSER M Surfing the brain. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE : THE QUARTERLY MAGAZINE OF THE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY 2006 vol. 25(2) pp. 65-78 VAN DE VILLE D, BLU T, UNSER M Polyharmonic smoothing splines and the multidimensional Wiener filtering of fractal-like signals. IEEE TRANSACTIONS ON IMAGE PROCESSING 2006 vol. 15(9) pp. 2616-2630 TIROSH S, VAN DE VILLE D, UNSER M Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data. NEUROIMAGE 2006 vol. 31(3) pp. 1142-1155 PATEL RS, VAN DE VILLE D, BOWMAN FD An orthogonal family of quincunx wavelets with continuously adjustable order. IEEE TRANSACTIONS ON IMAGE PROCESSING 2005 vol. 14(4) pp. 499-510 FEILNER M, VAN DE VILLE D Isotropic polyharmonic B-splines: scaling functions and wavelets. IEEE TRANSACTIONS ON IMAGE PROCESSING 2005 vol. 14(11) pp. 1798-1813 VAN DE VILLE D, BLU T, UNSER M A maximum-likelihood formalism for sub-resolution axial localization of fluorescent nanoparticles. OPTICS EXPRESS 2005 vol. 13(26) pp. 10503-10522 AGUET F, VAN DE VILLE D, UNSER M Hex-splines: a novel spline family for hexagonal lattices. IEEE TRANSACTIONS ON IMAGE PROCESSING 2004 vol. 13(6) pp. 758-772 VAN DE VILLE D, BLU T, UNSER M, PHILIPS W, LEMAHIEU I, VAN DE WALLE R. Complex wavelets for extended depth-of-field: a new method for the fusion of multichannel microscopy images. MICROSCOPY RESEARCH AND TECHNIQUE 2004 vol. 65(1-2) pp. 33-42 FORSTER B, VAN DE VILLE D, BERENT J, SAGE D, UNSER M Research's domains