Method for Quantification of Brain, Ventricular, and Subarachnoid CSF Volumes from MR Images

Maisog, José M.; Murphy, Declan; Teichberg, Diane; Rapoport, Stanley I.; Horwitz, Barry

doi:10.1097/00004728-199203000-00018

Cited by 241 publications

(210 citation statements)

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“…CEL were recorded on hard copy films by consensus of two neuroradiologists. T2 lesion volume was determined by a semiautomated thresholding technique (PV-WAVE) (9). Black hole volume and volume of CEL were determined from registered images (10) by using a semiautomated thresholding program (Jeff Solomon, MRIPS, National Institutes of Health) on MEDX (Sensor Systems, Sterling, VA) applied to postcontrast T1WI, after verification of lesion colocalization on T2WI or FLAIR images.…”

Section: Methodsmentioning

confidence: 99%

Humanized anti-CD25 (daclizumab) inhibits disease activity in multiple sclerosis patients failing to respond to interferon β

Bielekova

Richert

Howard

et al. 2004

Proc. Natl. Acad. Sci. U.S.A.

303

232

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Identifying effective treatment combinations for MS patients failing standard therapy is an important goal. We report the results of a phase II open label baseline-to-treatment trial of a humanized monoclonal antibody against CD25 (daclizumab) in 10 multiple sclerosis patients with incomplete response to IFN-β therapy and high brain inflammatory and clinical disease activity. Daclizumab was very well tolerated and led to a 78% reduction in new contrast-enhancing lesions and to a significant improvement in several clinical outcome measures.

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Section: Methodsmentioning

confidence: 99%

Humanized anti-CD25 (daclizumab) inhibits disease activity in multiple sclerosis patients failing to respond to interferon β

Bielekova

Richert

Howard

et al. 2004

Proc. Natl. Acad. Sci. U.S.A.

303

232

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“…Typically, the multi-variate Gaussian model ("Normal" distribution) is used. If the features are MR signal intensities from various MRI modalities (such as T1, T2, PD), then the Gaussian model assumption can be poor (Clarke et al, 1993;DeCarli et al, 1992;Schellenberg et al, 1990) : besides biological causes such as the intrinsic heterogeneity within the tissue classes that concern this paper (CSF, grey matter, white matter), the MRI acquisition artifacts also affect the intensity distributions -i.e. result in deviations from a Normal distribution (Ashburner, 2000;Kollokian, 1996;Schellenberg et al, 1990).…”

Section: Feature Space Distributionsmentioning

confidence: 99%

A fully automatic and robust brain MRI tissue classification method

Cocosco

Zijdenbos

Evans

2003

Medical Image Analysis

297

184

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A novel, fully automatic, adaptive, robust procedure for brain tissue classification from 3D magnetic resonance head images (MRI) is described in this paper. The procedure is adaptive in that it customizes a training set, by using a "pruning" strategy, such that the classification is robust against anatomical variability and pathology. Starting from a set of samples generated from prior tissue probability maps (a "model") in a standard, brain-based coordinate system ("stereotaxic space"), the method first reduces the fraction of incorrectly labeled samples in this set by using a minimum spanning tree graph-theoretic approach. Then, the corrected set of samples is used by a supervised kNN classifier for classifying the entire 3D image. The classification procedure is robust against variability in the image quality through a non-parametric implementation: no assumptions are made about the tissue intensity distributions. The performance of this brain tissue classification procedure is demonstrated through quantitative and qualitative validation experiments on both simulated MRI data (10 subjects) and real MRI data (43 subjects). A significant improvement in output quality was observed on subjects who exhibit morphological deviations from the model due to aging and pathology.

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“…Images were then resampled every 2 mm using sinc interpolation and smoothed with a 4 mm Gaussian kernel to decrease spatial noise. Total brain volume-Non-brain elements were manually removed from structural images by operator-guided tracing using a custom-written computer program operating on a UNIX, Solaris platform (Quanta 6.1) These images were automatically segmented into cerebrospinal fluid and brain matter components according to previously published methods in order to obtain a measure of total brain volume (DeCarli et al 1992(DeCarli et al , 1995(DeCarli et al , 1996.…”

Section: Brain Volume and Functionmentioning

confidence: 99%

Reduced Hippocampal Activation During Recall is Associated with Elevated FMR1 mRNA and Psychiatric Symptoms in Men with the Fragile X Premutation

Koldewyn

Hessl

Adams

et al. 2008

Brain Imaging and Behavior

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Recent studies reveal that young carriers of the fragile X premutation are at increased risk for psychiatric conditions, memory problems and executive deficits. Post mortem and structural MRI studies suggest the hippocampus is preferentially affected by the premutation. The current study utilized magnetic resonance imaging (MRI) to explore the relationship between hippocampal structure and function as well as molecular/genetic and psychiatric measures in men with the fragile X premutation. Although the groups did not differ in hippocampal volume, the premutation group showed reduced left hippocampal activation and increased right parietal activation during a recall task relative to controls. These results suggest that brain function underlying memory recall is affected by premutation status. Left hippocampal activation was negatively correlated with both FMR1 mRNA level and psychiatric symptomology in the premutation group. These associations support the theory that increased levels of FMR1 mRNA affect brain function and contribute to psychiatric symptoms.

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Method for Quantification of Brain, Ventricular, and Subarachnoid CSF Volumes from MR Images

Cited by 241 publications

References 0 publications

Humanized anti-CD25 (daclizumab) inhibits disease activity in multiple sclerosis patients failing to respond to interferon β

Humanized anti-CD25 (daclizumab) inhibits disease activity in multiple sclerosis patients failing to respond to interferon β

A fully automatic and robust brain MRI tissue classification method

Reduced Hippocampal Activation During Recall is Associated with Elevated FMR1 mRNA and Psychiatric Symptoms in Men with the Fragile X Premutation

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