ANIMAL+INSECT: Improved Cortical Structure Segmentation

Collins, D. Louis; Zijdenbos, Alex P.; Baaré, William F.C.; Evans, Alan C.

doi:10.1007/3-540-48714-x_16

Cited by 203 publications

(171 citation statements)

References 23 publications

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“…To improve the ability to compare populations, each subject's cortical thickness map was blurred using a 30-mm surface-based diffusion blurring kernel, chosen to maximize statistical power while minimizing false positives . Cortical points were assigned to specific regions using a probabilistic atlas [Collins et al, 1999]. These methods have been validated using both manual measurements [Kabani et al, 2001] and a population simulation , and have been used in studies of Alzheimer's disease and normal development [Shaw et al, 2005], among others.…”

Section: Mri Acquisitionmentioning

confidence: 99%

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Lenroot

Schmitt

Ordaz

et al. 2007

Human Brain Mapping

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260

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In this report, we present the first regional quantitative analysis of age-related differences in the heritability of cortical thickness using anatomic MRI with a large pediatric sample of twins, twin siblings, and singletons (n 5 600, mean age 11.1 years, range 5-19). Regions of primary sensory and motor cortex, which develop earlier, both phylogenetically and ontologically, show relatively greater genetic effects earlier in childhood. Later developing regions within the dorsal prefrontal cortex and temporal lobes conversely show increasingly prominent genetic effects with maturation. The observation that regions associated with complex cognitive processes such as language, tool use, and executive function are more heritable in adolescents than children is consistent with previous studies showing that IQ becomes increasingly heritable with maturity(Plomin et al. [1997]: Psychol Sci 8:442-447). These results suggest that both the specific cortical region and the age of the population should be taken into account when using cortical thickness as an intermediate phenotype to link genes, environment, and behavior. Hum Brain Mapp 30: [163][164][165][166][167][168][169][170][171][172][173][174] 2009. V V C 2007 Wiley-Liss, Inc.

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Section: Mri Acquisitionmentioning

confidence: 99%

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Lenroot

Schmitt

Ordaz

et al. 2007

Human Brain Mapping

Self Cite

302

260

View full text Add to dashboard Cite

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“…This labeling, or classification, can be performed based on a single MR image or based on a multispectral image constructed by combining series images of the same subject acquired with different pulse sequence parameters. Typically, the tissue types of interest are white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF), but also more anatomical labels can be assigned to image voxels (Collins et al, 1999;Fischl et al, 2002). However, voxel classification with three basic tissue types has itself rather direct applications such as quantifying disease burden in multiple sclerosis by estimation of the amount of brain atrophy (Collins et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Fast and robust parameter estimation for statistical partial volume models in brain MRI

2004

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Due to the finite spatial resolution of imaging devices, a single voxel in a medical image may be composed of mixture of tissue types, an effect known as partial volume effect (PVE). Partial volume estimation, that is, the estimation of the amount of each tissue type within each voxel, has received considerable interest in recent years. Much of this work has been focused on the mixel model, a statistical model of PVE. We propose a novel trimmed minimum covariance determinant (TMCD) method for the estimation of the parameters of the mixel PVE model. In this method, each voxel is first labeled according to the most dominant tissue type. Voxels that are prone to PVE are removed from this labeled set, following which robust location estimators with high breakdown points are used to estimate the mean and the covariance of each tissue class. Comparisons between different methods for parameter estimation based on classified images as well as expectation -maximization-like (EM-like) procedure for simultaneous parameter and partial volume estimation are reported. The robust estimators based on a pruned classification as presented here are shown to perform well even if the initial classification is of poor quality. The results obtained are comparable to those obtained using the EM-like procedure, but require considerably less computation time. Segmentation results of real data based on partial volume estimation are also reported. In addition to considering the parameter estimation problem, we discuss differences between different approximations to the complete mixel model. In summary, the proposed TMCD method allows for the accurate, robust, and efficient estimation of partial volume model parameters, which is crucial to a variety of brain MRI data analysis procedures such as the accurate estimation of tissue volumes and the accurate delineation of the cortical surface. D 2004 Elsevier Inc. All rights reserved.

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“…These three datasets are acquired in a single session and are aligned by linear registration (rigid body, 6 parameters). Furthermore, the T1w dataset is aligned to the ICBM-152 atlas by non-linear registration [14].…”

Section: Mri Acquisitionmentioning

confidence: 99%

Automatic Trajectory Planning of DBS Neurosurgery from Multi-modal MRI Datasets

Bériault

Subaie

Mok

et al. 2011

Lecture Notes in Computer Science

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Abstract. We propose an automated method for preoperative trajectory planning of deep brain stimulation image-guided neurosurgery. Our framework integrates multi-modal MRI analysis (T1w, SWI, TOF-MRA) to determine an optimal trajectory to DBS targets (subthalamic nuclei and globus pallidus interna) while avoiding critical brain structures for prevention of hemorrhages, loss of function and other complications. Results show that our method is well suited to aggregate many surgical constraints and allows the analysis of thousands of trajectories in less than 1/10th of the time for manual planning. Finally, a qualitative evaluation of computed trajectories resulted in the identification of potential new constraints, which are not addressed in the current literature, to better mimic the decision-making of the neurosurgeon during DBS planning.

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ANIMAL+INSECT: Improved Cortical Structure Segmentation

Cited by 203 publications

References 23 publications

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Fast and robust parameter estimation for statistical partial volume models in brain MRI

Automatic Trajectory Planning of DBS Neurosurgery from Multi-modal MRI Datasets

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