Automatic Segmentation of the Ventricular System from MR Images of the Human Brain

Schnack, Hugo G.; Pol, Hilleke E. Hulshoff; Baaré, William F.C.; Viergever, Max A.; Kahn, René S.

doi:10.1006/nimg.2001.0800

Cited by 104 publications

(50 citation statements)

References 30 publications

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“…Quantitative assessment of the TB, GM, WM, cerebellar, V3, and LV volumes were performed based on histogram analyses, followed by mathematical morphological operators in the 3D fast field echo image, using the intracranial volume as mask. 34,35 In addition, for the cerebellum and V3 and LV volumes, anatomical knowledge-based selection principles were used. For the cerebellum, this included a plane perpendicular to the sagittal plane through the aqueduct.…”

Section: Mri Data Acquisitionmentioning

confidence: 99%

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Boonstra¹,

Haren²,

Schnack³

et al. 2011

Journal of Clinical Psychopharmacology

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Section: Mri Data Acquisitionmentioning

confidence: 99%

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Boonstra¹,

Haren²,

Schnack³

et al. 2011

Journal of Clinical Psychopharmacology

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“…35 Briefly, T1-weighted 3D fast field echo and T2-weighted dual echo turbo spin echo scans of the whole head were acquired on a Philips Gyroscan running at 1.5 T for volumetric measurements (Philips Medical Systems, 35 and Schnack et al 57,58 ). Gray matter volume could not be estimated for four individuals, due to subject motion during the scan (two subjects with ADHD, two unaffected siblings).…”

Section: Mri Acquisition and Processingmentioning

confidence: 99%

Differential effects of DRD4 and DAT1 genotype on fronto-striatal gray matter volumes in a sample of subjects with attention deficit hyperactivity disorder, their unaffected siblings, and controls

et al. 2005

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Genetic influences on behavior are complex and, as such, the effect of any single gene is likely to be modest. Neuroimaging measures may serve as a biological intermediate phenotype to investigate the effect of genes on human behavior. In particular, it is possible to constrain investigations by prior knowledge of gene characteristics and by including samples of subjects where the distribution of phenotypic variance is both wide and under heritable influences. Here, we use this approach to show a dissociation between the effects of two dopamine genes that are differentially expressed in the brain. We show that the DAT1 gene, a gene expressed predominantly in the basal ganglia, preferentially influences caudate volume, whereas the DRD4 gene, a gene expressed predominantly in the prefrontal cortex, preferentially influences prefrontal gray matter volume in a sample of subjects including subjects with ADHD, their unaffected siblings, and healthy controls. This demonstrates that, by constraining our investigations by prior knowledge of gene expression, including samples in which the distribution of phenotypic variance is wide and under heritable influences, and by using intermediate phenotypes, such as neuroimaging, we may begin to map out the pathways by which genes influence behavior. Investigators interested in the effect of genes on behavior face a challenge in that behavior is complex, and is likely affected by multiple genes, as well as gene-gene and gene-environment interactions. As such, the effect of any single gene on behavior is probably only small. Indeed, studies investigating the effect of genotype on behavior have reported modest associations. For example, Fossella et al 1 described the influence of four genes related to dopamine function on measures of executive attention and report small effect sizes. Furthermore, their effects were subtle in that not all aspects of executive attention were affected and that genes had differential effects. 1

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“…The 3D-FFE images were then corrected for magnetic field inhomogeneities (8) and the DE-TSE images were registered to the 3D-FFE images (9). Brain volume measures were calculated using in-house-developed automated computer programs based on intensity histogram analysis followed by mathematical morphology operators in the DE-TSE and 3D-FFE images, using the intracranial volume as a mask (10). In addition, for the lateral and third ventricular volumes, anatomical knowledge-based selection principles were used.…”

Section: Nmr Studiesmentioning

confidence: 99%

“…Automatic decision rules bridged connections that were not detectable and prevented "leaking" into cisterns. Coronal slices that clearly showed the anterior and posterior commissures limited the third ventricle, and the upper boundary was a plane through the plexus choroideus of the third ventricle perpendicular to the midsagittal slice (10). GM and WM segmentation of the cerebrum (total brain excluding the stem/cerebellum) was done by one rater thresholding the 3D-FFE images twice, using randomization of images between each iteration.…”

Section: Nmr Studiesmentioning

confidence: 99%

MRI, volumetry, ¹H spectroscopy, and cerebropetal blood flowmetry in childhood idiopathic anatomic megalencephaly

Koudijs

Hoogendoorn

Pol

et al. 2006

Magnetic Resonance Imaging

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Purpose:To evaluate cerebral abnormalities in childhood idiopathic anatomic megalencephaly (MC) by means of different magnetic resonance (MR) modalities. Materials and Methods:MRI, volumetry, spectroscopy, and cerebropetal blood flowmetry were performed in six children with idiopathic anatomic MC, and seven volunteers.Results: MRI revealed an increased ventricular system in five of six patients. A thalamic hamartoma was found in one patient and a Chiari I malformation was found in two. Volumetric analysis showed a disproportional increase of ventricular volume but normal subarachnoid cerebrospinal fluid (CSF) volume. Supratentorial volume was disproportionally increased compared to cerebellar volume. Intracranial volume correlated significantly with skull circumference. MR spectroscopy (MRS) N-acetyl aspartate/choline (NAA/Cho) peak ratios in WM were significantly higher in patients than in controls. Choline/creatine (Cho/Cr) peak ratios in WM were significantly lower in patients. Cortical gray matter (GM) MRS ratios were unaltered. Cerebropetal flow was increased in MC, possibly related to increased brain volume. Conclusion:This study reveals associated developmental anomalies for idiopathic anatomic MC. A relative ventriculomegaly was found, which should not be misinterpreted as true hydrocephalus. In contrast to metabolic MC, MRS showed no severe disturbances. Total intracranial volume is correlated to skull circumference and cerebropetal blood flow.

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Automatic Segmentation of the Ventricular System from MR Images of the Human Brain

Cited by 104 publications

References 30 publications

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Differential effects of DRD4 and DAT1 genotype on fronto-striatal gray matter volumes in a sample of subjects with attention deficit hyperactivity disorder, their unaffected siblings, and controls

MRI, volumetry, ¹H spectroscopy, and cerebropetal blood flowmetry in childhood idiopathic anatomic megalencephaly

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Automatic Segmentation of the Ventricular System from MR Images of the Human Brain

Cited by 104 publications

References 30 publications

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Brain Volume Changes After Withdrawal of Atypical Antipsychotics in Patients With First-Episode Schizophrenia

Differential effects of DRD4 and DAT1 genotype on fronto-striatal gray matter volumes in a sample of subjects with attention deficit hyperactivity disorder, their unaffected siblings, and controls

MRI, volumetry, 1H spectroscopy, and cerebropetal blood flowmetry in childhood idiopathic anatomic megalencephaly

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MRI, volumetry, ¹H spectroscopy, and cerebropetal blood flowmetry in childhood idiopathic anatomic megalencephaly