ParkinsonCanadaV1, France, Analysis, bibRecord, 000211

Comparison of Piece-Wise Linear, Linear, and Nonlinear Atlas-to-Patient Warping Techniques: Analysis of the Labeling of Subcortical Nuclei for Functional Neurosurgical Applications

Identifieur interne : 000211 ( France/Analysis ); précédent : 000210; suivant : 000212

Comparison of Piece-Wise Linear, Linear, and Nonlinear Atlas-to-Patient Warping Techniques: Analysis of the Labeling of Subcortical Nuclei for Functional Neurosurgical Applications

Auteurs : M. Mallar Chakravarty [Canada] ; Abbas F. Sadikot [Canada] ; Jürgen Germany [Canada] ; Pierre Hellier [France] ; Gilles Bertrand [Canada] ; D. Louis Collins [Canada]

Source :

Human brain mapping [ 1065-9471 ] ; 2009.

RBID : Pascal:09-0447014

Descripteurs français

Pascal (Inist)
- Maladie de Parkinson, Pathologie du système nerveux, Etude comparative, Non linéarité, Atlas, Homme, Technique, Souscortex, Chirurgie, Planification, Thalamotomie, Radiodiagnostic, Stimulation cérébrale profonde.
Wicri :
- topic : Atlas, Homme, Chirurgie.

English descriptors

KwdEn :
- Atlas, Comparative study, Deep brain stimulation, Human, Nervous system diseases, Nonlinearity, Parkinson disease, Planning, Radiodiagnosis, Subcortex, Surgery, Technique, Thalamotomy.

Abstract

Digital atlases are commonly used in pre-operative planning in functional neurosurgical procedures performed to minimize the symptoms of Parkinson's disease. These atlases can be customized to fit an individual patient's anatomy through atlas-to-patient warping procedures. Once fitted to pre-operative magnetic resonance imaging (MRI) data, the customized atlas can be used to plan and navigate surgical procedures. Linear, piece-wise linear and nonlinear registration methods have been used to customize different digital atlases with varying accuracies. Our goal was to evaluate eight different registration methods for atlas-to-patient customization of a new digital atlas of the basal ganglia and thalamus to demonstrate the value of nonlinear registration for automated atlas-based subcortical target identification in functional neurosurgery. In this work, we evaluate the accuracy of two automated linear techniques, two piece-wise linear techniques (requiring the identification of manually placed anatomical landmarks), and four different automated nonlinear atlas-to-patient warping techniques (where two of the four nonlinear techniques are variants of the ANIMAL algorithm). Since a gold standard of the subcortical anatomy is not available, manual segmentations of the striatum, globus pallidus, and thalamus are used to derive a silver standard for evaluation. Four different metrics, including the kappa statistic, the mean distance between the surfaces, the maximum distance between surfaces, and the total structure volume are used to compare the warping techniques. The results show that nonlinear techniques perform statistically better than linear and piece-wise linear techniques. In addition, the results demonstrate statistically significant differences between the nonlinear techniques, with the ANIMAL algorithm yielding better results.

Affiliations:

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Pascal:09-0447014

Le document en format XML

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<term>Human</term>
<term>Nervous system diseases</term>
<term>Nonlinearity</term>
<term>Parkinson disease</term>
<term>Planning</term>
<term>Radiodiagnosis</term>
<term>Subcortex</term>
<term>Surgery</term>
<term>Technique</term>
<term>Thalamotomy</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Maladie de Parkinson</term>
<term>Pathologie du   système nerveux</term>
<term>Etude comparative</term>
<term>Non linéarité</term>
<term>Atlas</term>
<term>Homme</term>
<term>Technique</term>
<term>Souscortex</term>
<term>Chirurgie</term>
<term>Planification</term>
<term>Thalamotomie</term>
<term>Radiodiagnostic</term>
<term>Stimulation cérébrale profonde</term>
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<front><div type="abstract" xml:lang="en">Digital atlases are commonly used in pre-operative planning in functional neurosurgical procedures performed to minimize the symptoms of Parkinson's disease. These atlases can be customized to fit an individual patient's anatomy through atlas-to-patient warping procedures. Once fitted to pre-operative magnetic resonance imaging (MRI) data, the customized atlas can be used to plan and navigate surgical procedures. Linear, piece-wise linear and nonlinear registration methods have been used to customize different digital atlases with varying accuracies. Our goal was to evaluate eight different registration methods for atlas-to-patient customization of a new digital atlas of the basal ganglia and thalamus to demonstrate the value of nonlinear registration for automated atlas-based subcortical target identification in functional neurosurgery. In this work, we evaluate the accuracy of two automated linear techniques, two piece-wise linear techniques (requiring the identification of manually placed anatomical landmarks), and four different automated nonlinear atlas-to-patient warping techniques (where two of the four nonlinear techniques are variants of the ANIMAL algorithm). Since a gold standard of the subcortical anatomy is not available, manual segmentations of the striatum, globus pallidus, and thalamus are used to derive a silver standard for evaluation. Four different metrics, including the kappa statistic, the mean distance between the surfaces, the maximum distance between surfaces, and the total structure volume are used to compare the warping techniques. The results show that nonlinear techniques perform statistically better than linear and piece-wise linear techniques. In addition, the results demonstrate statistically significant differences between the nonlinear techniques, with the ANIMAL algorithm yielding better results.</div>
</front>
</TEI>
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<tree><country name="Canada"><region name="Québec"><name sortKey="Mallar Chakravarty, M" sort="Mallar Chakravarty, M" uniqKey="Mallar Chakravarty M" first="M." last="Mallar Chakravarty">M. Mallar Chakravarty</name>
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<name sortKey="Bertrand, Gilles" sort="Bertrand, Gilles" uniqKey="Bertrand G" first="Gilles" last="Bertrand">Gilles Bertrand</name>
<name sortKey="Bertrand, Gilles" sort="Bertrand, Gilles" uniqKey="Bertrand G" first="Gilles" last="Bertrand">Gilles Bertrand</name>
<name sortKey="Collins, D Louis" sort="Collins, D Louis" uniqKey="Collins D" first="D. Louis" last="Collins">D. Louis Collins</name>
<name sortKey="Germany, Jurgen" sort="Germany, Jurgen" uniqKey="Germany J" first="Jürgen" last="Germany">Jürgen Germany</name>
<name sortKey="Sadikot, Abbas F" sort="Sadikot, Abbas F" uniqKey="Sadikot A" first="Abbas F." last="Sadikot">Abbas F. Sadikot</name>
<name sortKey="Sadikot, Abbas F" sort="Sadikot, Abbas F" uniqKey="Sadikot A" first="Abbas F." last="Sadikot">Abbas F. Sadikot</name>
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<country name="France"><region name="Région Bretagne"><name sortKey="Hellier, Pierre" sort="Hellier, Pierre" uniqKey="Hellier P" first="Pierre" last="Hellier">Pierre Hellier</name>
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<name sortKey="Hellier, Pierre" sort="Hellier, Pierre" uniqKey="Hellier P" first="Pierre" last="Hellier">Pierre Hellier</name>
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</record>

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   |texte=   Comparison of Piece-Wise Linear, Linear, and Nonlinear Atlas-to-Patient Warping Techniques: Analysis of the Labeling of Subcortical Nuclei for Functional Neurosurgical Applications
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	La maladie de Parkinson au Canada (serveur d'exploration)
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

La maladie de Parkinson au Canada (serveur d'exploration)

Comparison of Piece-Wise Linear, Linear, and Nonlinear Atlas-to-Patient Warping Techniques: Analysis of the Labeling of Subcortical Nuclei for Functional Neurosurgical Applications

Comparison of Piece-Wise Linear, Linear, and Nonlinear Atlas-to-Patient Warping Techniques: Analysis of the Labeling of Subcortical Nuclei for Functional Neurosurgical Applications

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri