Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation

Bardinet, Éric; Dormont, Didier; Malandain, Grégoire; Bhattacharjee, Manik; Pidoux, B.; Saleh, Christian; Cornu, Philippe; Ayache, Nicholas; Agid, Yves; Yelnik, Jérôme

doi:10.1007/11566489_48

Cited by 16 publications

(20 citation statements)

References 13 publications

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“…All these possible sources of errors will be further investigated. Nevertheless, these limitations are also applicable to the work performed by other research groups [15]- [18], where most of these weaknesses are also present. They construct the ground-truth indirectly by registering different kinds of atlases: anatomical, electrophysiological, and/or histological and using final electrode's coordinates, which may introduce also additional errors.…”

Section: Discussionmentioning

confidence: 99%

“…We also study the influence of surrounding structures in the STN estimation. Some efforts for automatically estimating the STN target have been reported recently [15]- [18]. They construct the ground truth through indirect methods by registering anatomical, histological, and/or electrophysiological atlases with the reference patient, model or template but, as far as we know, our study is the first one that constructs the ground truth in a direct way from visible STNs and that directly studies the influence of neighboring structures in the estimation of the STN's location.…”

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confidence: 99%

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A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

Castro

Pollo

Meuli

et al. 2006

IEEE Trans. Med. Imaging

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Abstract-Validation of image registration algorithms is a diffi-cult task and open-ended problem, usually application-dependent. In this paper, we focus on deep brain stimulation (DBS) targeting for the treatment of movement disorders like Parkinson's disease and essential tremor. DBS involves implantation of an electrode deep inside the brain to electrically stimulate specific areas shutting down the disease's symptoms. The subthalamic nucleus (STN) has turned out to be the optimal target for this kind of surgery. Unfortunately, the STN is in general not clearly distinguishable in common medical imaging modalities. Usual techniques to infer its location are the use of anatomical atlases and visible surrounding landmarks. Surgeons have to adjust the electrode intraoperatively using electrophysiological recordings and macrostimulation tests. We constructed a ground truth derived from specific patients whose STNs are clearly visible on magnetic resonance (MR) T2-weighted images. A patient is chosen as atlas both for the right and left sides. Then, by registering each patient with the atlas using different methods, several estimations of the STN location are obtained. Two studies are driven using our proposed validation scheme. First, a comparison between different atlas-based and nonrigid registration algorithms with a evaluation of their performance and usability to locate the STN automatically. Second, a study of which visible surrounding structures influence the STN location. The two studies are cross validated between them and against expert's variability. Using this scheme, we evaluated the expert's ability against the estimation error provided by the tested algorithms and we demonstrated that automatic STN targeting is possible and as accurate as the expert-driven techniques currently used. We also show which structures have to be taken into account to accurately estimate the STN location.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

Castro

Pollo

Meuli

et al. 2006

IEEE Trans. Med. Imaging

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“…More recently, these authors compared the anatomic and functional human STN by using the same atlas and showed that the functional STN and the anatomic STN correlated well for medium and high probabilities of the functional STN. 95 A histologically based deformable 3D atlas of the basal ganglia was used on a series of patients with parkinsonism treated by DBS, 55,96 allowing comparison of atlas data with postoperative stimulation results (Fig 3).…”

Section: Study Of Electrode Contact Positions On Postoperative Imagingmentioning

confidence: 99%

Neuroimaging and Deep Brain Stimulation

Dormont¹,

Seidenwurm²,

Galanaud³

et al. 2009

AJNR Am J Neuroradiol

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SUMMARY: Deep brain stimulation (DBS) is a new neurosurgical method principally used for the treatment of Parkinson disease (PD).Many new applications of DBS are under development, including the treatment of intractable psychiatric diseases. Brain imaging is used for the selection of patients for DBS, to localize the target nucleus, to detect complications, and to evaluate the final electrode contact position. In patients with implanted DBS systems, there is a risk of electrode heating when MR imaging is performed. This contraindicates MR imaging unless specific precautions are taken. Involvement of neuroradiologists in DBS procedures is essential to optimize presurgical evaluation, targeting, and postoperative anatomic results. The precision of the neuroradiologic correlation with anatomic data and clinical outcomes in DBS promises to yield significant basic science and clinical advances in the future. Chronic high-frequency stimulation of the ventral intermediate nucleus (VIM) of the thalamus was first described in the early 1990s by Benabid et al.1 These authors implanted chronic stimulating electrodes in the VIM connected to a subcutaneous pulse generator positioned in the thoracic region to treat disabling tremor in 26 patients with Parkinson disease (PD) and in 6 with essential tremor.1 They demonstrated the effectiveness of this technique and its ability to produce complete relief from tremor. Improvement was maintained for up to 29 months. This was the first clinical demonstration that chronic high-frequency stimulation of nuclei (deep brain stimulation [DBS]) could replace destructive lesion-producing functional neurosurgery such as thalamotomy. This new technique was reversible and led to a renaissance in functional neurosurgery.Next, the same team introduced bilateral DBS of the subthalamic nucleus (STN) in patients with disabling akineticrigid PD and severe motor fluctuations.2 This work extended data obtained in a 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine monkey model of PD showing that lesions and electric stimulation of the subthalamic nucleus reduced all of the major motor disturbances in this animal model. The results in patients with advanced PD were striking and were reproduced in many centers internationally. The US Food and Drug Administration approved the use of DBS for treatment of advanced PD with bilateral STN stimulation in 2002 and internal globus pallidus (GPi) stimulation in 2003. The main indication for DBS remains advanced PD, but numerous additional applications have been developed, ranging from dystonia to cluster headache, Tourette syndrome, and even psychiatric indications like obsessive-compulsive disorders (OCD) and major depression.DBS is a neurosurgical method, but the role of neuroimaging in successful DBS intervention is critical. Neuroimaging is used for the preoperative selection of patients who will have DBS and to localize the intended target nuclei. In the postoperative period, imaging detects complications that uncommonly accompany the procedure, confirms the pos...

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“…High-dimensional volumetric nonrigid registration based on continuum mechanics and cortical surface registration has been utilized in the construction of these atlases. A similar study [75] has been conducted on anatomical changes in Parkinsonian patients. Analysis of functional information and comparison between the two groups is subtle and highly dependent on the accuracy of matching the brains to the deformable atlas.…”

Section: Deformable Atlasesmentioning

confidence: 93%

Brain Functional Localization: A Survey of Image Registration Techniques

Gholipour

Kehtarnavaz

Briggs

et al. 2007

IEEE Trans. Med. Imaging

227

127

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Abstract-Functional localization is a concept which involves the application of a sequence of geometrical and statistical image processing operations in order to define the location of brain activity or to produce functional/parametric maps with respect to the brain structure or anatomy. Considering that functional brain images do not normally convey detailed structural information and, thus, do not present an anatomically specific localization of functional activity, various image registration techniques are introduced in the literature for the purpose of mapping functional activity into an anatomical image or a brain atlas. The problems addressed by these techniques differ depending on the application and the type of analysis, i.e., single-subject versus group analysis. Functional to anatomical brain image registration is the core part of functional localization in most applications and is accompanied by intersubject and subject-to-atlas registration for group analysis studies. Cortical surface registration and automatic brain labeling are some of the other tools towards establishing a fully automatic functional localization procedure. While several previous survey papers have reviewed and classified general-purpose medical image registration techniques, this paper provides an overview of brain functional localization along with a survey and classification of the image registration techniques related to this problem.Index Terms-Brain functional localization, fMRI image processing, functional imaging, survey of image registration techniques.

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Retrospective Cross-Evaluation of an Histological and Deformable 3D Atlas of the Basal Ganglia on Series of Parkinsonian Patients Treated by Deep Brain Stimulation

Cited by 16 publications

References 13 publications

A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

Neuroimaging and Deep Brain Stimulation

Brain Functional Localization: A Survey of Image Registration Techniques

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