Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.

Muriel Perrin; Cyril Poupon; Bernard Rieul; Patrick Leroux; André Constantinesco; Jean-François Mangin; Denis Le Bihan

hal-00349670, version 1

Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.

Muriel Perrin ^1, 2, Cyril Poupon ³, Bernard Rieul, Patrick Leroux ^4, 5, 6, André Constantinesco ⁷, Jean-François Mangin ^8, 9, 10, Denis Le Bihan ^{9, 11, 12, 13, 14}

Philosophical Transactions Biological Sciences 360, 1457 (2005) 881-91

Résumé : Magnetic resonance (MR) diffusion imaging provides a valuable tool used for inferring structural anisotropy of brain white matter connectivity from diffusion tensor imaging. Recently, several high angular resolution diffusion models were introduced in order to overcome the inadequacy of the tensor model for describing fibre crossing within a single voxel. Among them, q-ball imaging (QBI), inherited from the q-space method, relies on a spherical Radon transform providing a direct relationship between the diffusion-weighted MR signal and the orientation distribution function (ODF). Experimental validation of these methods in a model system is necessary to determine the accuracy of the methods and to optimize them. A diffusion phantom made up of two textile rayon fibre (comparable in diameter to axons) bundles, crossing at 90 degrees , was designed and dedicated to ex vivo q-ball validation on a clinical scanner. Normalized ODFs were calculated inside regions of interest corresponding to monomodal and bimodal configurations of underlying structures. Three-dimensional renderings of ODFs revealed monomodal shapes for voxels containing single-fibre population and bimodal patterns for voxels located within the crossing area. Principal orientations were estimated from ODFs and were compared with a priori structural fibre directions, validating efficiency of QBI for depicting fibre crossing. In the homogeneous regions, QBI detected the fibre angle with an accuracy of 19 degrees and in the fibre-crossing region with an accuracy of 30 degrees .

1 : Service central de radiologie et d'imagerie médicale
CHU Grenoble – Hôpital Michallon
2 : Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion (EM2C)
CNRS : UPR288 – Ecole Centrale Paris
3 : Laboratoire d'Imagerie et de Spectroscopie (LRMN)
CEA : DSV/I2BM/NEUROSPIN
4 : Le Mans (INSTITUT D'INFORMATIQUE CLAUDE CHAPPE)
Aucune
5 : Institut de Recherche Mathématique de Rennes (IRMAR)
CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) : - RENNES – Université de Rennes II - Haute Bretagne
6 : Laboratoire d'Informatique de l'Université du Maine (LIUM)
CNRS : FRE2730 – Université du Maine
7 : Service de Biophysique et Médecine Nucléaire
CHU Strasbourg – Université Louis Pasteur - Strasbourg I – Hôpital de Hautepierre
8 : Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO)
CEA : DSV/I2BM/NEUROSPIN
9 : Service Hospitalier Frédéric Joliot (SHFJ)
CEA : DSV/I2BM
10 : Center for Neuroscience and Behavioral Medicine
Children's National Medical Center
11 : Service NEUROSPIN (NEUROSPIN)
CEA : DSV/I2BM
12 : IFR de Neuroimagerie Fonctionnelle (IFR 49)
CEA
13 : National Institutes of Health (NIH)
National Institutes of Health
14 : Human Brain Research Center [Kyoto] (HBRC)
Kyoto University

hal-00349670, version 1
http://hal.archives-ouvertes.fr/hal-00349670
oai:hal.archives-ouvertes.fr:hal-00349670
Contributeur : Denis Le Bihan <>
Soumis le : Samedi 3 Janvier 2009, 15:54:47
Dernière modification le : Samedi 3 Janvier 2009, 15:54:47

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PubMed : 16087433

PubMed Central : 1854933

DOI : 10.1098/rstb.2005.1650

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%% hal-00349670, version 1
%% http://hal.archives-ouvertes.fr/hal-00349670
@article{perrin:hal-00349670,
    hal_id = {hal-00349670},
    url = {http://hal.archives-ouvertes.fr/hal-00349670},
    title = {{Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.}},
    author = {Perrin, Muriel and Poupon, Cyril and Rieul, Bernard and Leroux, Patrick and Constantinesco, Andr{\'e} and Mangin, Jean-Fran{\c c}ois and Le Bihan, Denis},
    abstract = {{Magnetic resonance (MR) diffusion imaging provides a valuable tool used for inferring structural anisotropy of brain white matter connectivity from diffusion tensor imaging. Recently, several high angular resolution diffusion models were introduced in order to overcome the inadequacy of the tensor model for describing fibre crossing within a single voxel. Among them, q-ball imaging (QBI), inherited from the q-space method, relies on a spherical Radon transform providing a direct relationship between the diffusion-weighted MR signal and the orientation distribution function (ODF). Experimental validation of these methods in a model system is necessary to determine the accuracy of the methods and to optimize them. A diffusion phantom made up of two textile rayon fibre (comparable in diameter to axons) bundles, crossing at 90 degrees , was designed and dedicated to ex vivo q-ball validation on a clinical scanner. Normalized ODFs were calculated inside regions of interest corresponding to monomodal and bimodal configurations of underlying structures. Three-dimensional renderings of ODFs revealed monomodal shapes for voxels containing single-fibre population and bimodal patterns for voxels located within the crossing area. Principal orientations were estimated from ODFs and were compared with a priori structural fibre directions, validating efficiency of QBI for depicting fibre crossing. In the homogeneous regions, QBI detected the fibre angle with an accuracy of 19 degrees and in the fibre-crossing region with an accuracy of 30 degrees .}},
    language = {Anglais},
    affiliation = {Service central de radiologie et d'imagerie m{\'e}dicale , Laboratoire d'{\'E}nerg{\'e}tique Mol{\'e}culaire et Macroscopique, Combustion - EM2C , Laboratoire d'Imagerie et de Spectroscopie - LRMN , Le Mans - INSTITUT D'INFORMATIQUE CLAUDE CHAPPE , Institut de Recherche Math{\'e}matique de Rennes - IRMAR , Laboratoire d'Informatique de l'Universit{\'e} du Maine - LIUM , Service de Biophysique et M{\'e}decine Nucl{\'e}aire , Laboratoire de Neuroimagerie Assist{\'e}e par Ordinateur - LNAO , Service Hospitalier Fr{\'e}d{\'e}ric Joliot - SHFJ , Center for Neuroscience and Behavioral Medicine , Service NEUROSPIN - NEUROSPIN , IFR de Neuroimagerie Fonctionnelle - IFR 49 , National Institutes of Health (NIH) , Human Brain Research Center [Kyoto] - HBRC},
    pages = {881-91},
    journal = {Philosophical Transactions Biological Sciences},
    volume = {360},
    number = {1457 },
    audience = {internationale },
    doi = {10.1098/rstb.2005.1650 },
    year = {2005},
    month = May,
}

%F hal-00349670, version 1
%0 Journal Article
%U http://hal.archives-ouvertes.fr/hal-00349670
%2 SDV:IB:IMA
%T Validation of q-ball imaging with a diffusion fibre-crossing phantom on a clinical scanner.
%A Perrin, Muriel
%A Poupon, Cyril
%A Rieul, Bernard
%A Leroux, Patrick
%A Constantinesco, André
%A Mangin, Jean-François
%A Le Bihan, Denis
%+ Service central de radiologie et d'imagerie médicale , Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion - EM2C , Laboratoire d'Imagerie et de Spectroscopie - LRMN , Le Mans - INSTITUT D'INFORMATIQUE CLAUDE CHAPPE , Institut de Recherche Mathématique de Rennes - IRMAR , Laboratoire d'Informatique de l'Université du Maine - LIUM , Service de Biophysique et Médecine Nucléaire , Laboratoire de Neuroimagerie Assistée par Ordinateur - LNAO , Service Hospitalier Frédéric Joliot - SHFJ , Center for Neuroscience and Behavioral Medicine , Service NEUROSPIN - NEUROSPIN , IFR de Neuroimagerie Fonctionnelle - IFR 49 , National Institutes of Health (NIH) , Human Brain Research Center [Kyoto] - HBRC
%X Magnetic resonance (MR) diffusion imaging provides a valuable tool used for inferring structural anisotropy of brain white matter connectivity from diffusion tensor imaging. Recently, several high angular resolution diffusion models were introduced in order to overcome the inadequacy of the tensor model for describing fibre crossing within a single voxel. Among them, q-ball imaging (QBI), inherited from the q-space method, relies on a spherical Radon transform providing a direct relationship between the diffusion-weighted MR signal and the orientation distribution function (ODF). Experimental validation of these methods in a model system is necessary to determine the accuracy of the methods and to optimize them. A diffusion phantom made up of two textile rayon fibre (comparable in diameter to axons) bundles, crossing at 90 degrees , was designed and dedicated to ex vivo q-ball validation on a clinical scanner. Normalized ODFs were calculated inside regions of interest corresponding to monomodal and bimodal configurations of underlying structures. Three-dimensional renderings of ODFs revealed monomodal shapes for voxels containing single-fibre population and bimodal patterns for voxels located within the crossing area. Principal orientations were estimated from ODFs and were compared with a priori structural fibre directions, validating efficiency of QBI for depicting fibre crossing. In the homogeneous regions, QBI detected the fibre angle with an accuracy of 19 degrees and in the fibre-crossing region with an accuracy of 30 degrees .
%G Anglais
%R 10.1098/rstb.2005.1650
%J Philosophical Transactions Biological Sciences
%2 internationale
%8 2005-05-29
%V 360
%N 1457
%P 881-91
%K Anisotropy; Brain; Brain Mapping; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Neurological; Nerve Fibers

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