Ultra-fast automated brain volumetry based on bispectral MR imaging data.

In this paper we present a fast automated three-dimensional brain segmentation and brain volumetry method providing minimal requirements of the number of spectral MR image channels and the performance of the computer equipment employed. The presented method is based on standard non-iterative two-dimensional grey level segmentation techniques in combination with pixel vector-oriented classificators and morphological operators and requires a bispectral high resolution MR data base. In its current design, the method provides for the largely partial volume-corrected determination of the cerebrospinal fluid (CSF) and the white and grey brain matter volumes of the human brain. For the verification of our approach, the results of applications to clinical data were compared to those of studies found in the literature.

Corpus callosum in Alzheimer's disease and vascular dementia--a quantitative magnetic resonance study.

We investigated atrophic alterations in different regions of the corpus callosum in Alzheimer's disease (AD) and vascular dementia (VD) with respect to clinical changes. 32 patients with AD (NINCDS-ADRDA criteria), 17 patients with VD (NINDS-AIREN criteria) and 13 healthy control subjects were included. 3-D MRI sequences were acquired using a 1.5T MRI scanner. The size of the corpus callosum and its subdivisions was sampled on 5 mid-saggital slices using a personal computer-based software. Total callosal size was significantly reduced in AD but not in VD. Furthermore, the most rostral parts of the corpus callosum were significantly smaller in AD when compared to controls. Again, these changes were not found in patients with VD. Severity of dementia was significantly correlated with the size of the midbody of the corpus callosum in AD. Callosal atrophy in AD may reflect the severity and pattern of cortical neuronal damage occurring mostly in the inferior frontal, anterior parietal and midtemporal regions. Correlations between regional callosal atrophy and severity of dementia indicate that interhemispheric cortico-cortical disconnections may contribute to the dementia syndrome.

Quantitative magnetic resonance imaging and neuropsychological functions in dementia of the Alzheimer type.

BACKGROUND: The aim of the present study was to investigate neuropsychological functions in dementia of the Alzheimer type (DAT) with respect to morphological changes that were revealed by quantitative magnetic resonance imaging (MRI). METHODS: Twenty patients with DAT (NINCDS-ADRDA criteria) and 10 healthy age and sex matched controls were included. The neuropsychological function was evaluated on a test battery covering the severity of dementia, verbal and visual memory, concentration and attention, language skills and general intelligence as well as activities of daily living. 3D MRI sequences were acquired using a 1.5 T Siemens MAGNETOM. Whole brain volume, total intracranial volume (TIV), volume of the frontal and temporal lobes and volumes of the amygdalahippocampus complex (AHC) were assessed using the newly developed software NMR Win. RESULTS: Apart from TIV all morphometric parameters differed significantly between the diagnostic groups. AHC volumes discriminated best between the groups, with only a small overlap. AHC atrophy exceeded generalized atrophy. These findings were confirmed when the data were reanalysed after dividing the DAT patients into a mildly and moderately affected group. The severity of dementia was significantly correlated with the volumes of the AHC and the volumes of the temporal lobes bilaterally, but not with the whole brain volume and the volumes of the frontal lobes. CONCLUSIONS: These results underline the important role of the temporal substructures for aetiology and progression of DAT. They indicate that the volume of the AHC can be monitored by MRI and may be used to follow up the disease process.

Quantitative magnetic resonance imaging in geriatric depression and primary degenerative dementia.

Quantitative magnetic resonance imaging (MRI) was used to investigate volumes of different brain structures in 19 patients with late-onset major depression (DSM-III-R), 27 patients with Alzheimer's disease (NINCDS-ADRDA criteria) and 13 age matched controls. 3-D MRI sequences were acquired using a Siemens 1.5 T scanner. Whole brain volume, CSF volume, volume of the frontal and temporal lobes and the volume of the amygdala-hippocampus complex were assessed using the software NMR Win. Compared to the controls, depressed patients showed a significantly lower whole brain volume and a significantly higher CSF volume, whereas volumes of the frontal and temporal lobes as well as the amygdala-hippocampus complex volumes were not significantly decreased. In addition, depressed patients exhibited a higher ventricle-brain ratio suggesting a higher degree of central atrophy compared to healthy individuals. In contrast, Alzheimer patients showed significantly lower volumes than depressed patients and controls with respect to all volumetric parameters. Although the findings indicate the presence of brain atrophy in patients with late-onset depression, the pattern of volumetric changes in these patients differs markedly from that observed in patients with primary degenerative dementia.

[Quantitative magnetic resonance tomography and the severity of deficits in dementia of the Alzheimer type]. / Quantitative Magnetresonanztomographie und Schweregrad der Defizite bei der Demenz vom Alzheimer-Typ.

The aim of the present study was to investigate the severity of dementia of the Alzheimer type (DAT) with respect to morphological changes revealed by quantitative magnetic resonance imaging (MRI). Seventeen patients with DAT (NINCDS-ADRDA guidelines) and 10 healthy elderly controls were included. The severity of dementia was evaluated on the Mini Mental State Examination (MMSE), the Global Deterioration Scale (GDS) and the Brief Cognitive Rating Scale (BCRS). Three-dimensional MRI sequences were acquired using a 1.5-T Siemens Magnetom. Whole-brain volume and the volume of the amygdala-hippocampus complex (AHC) were assessed using the newly developed software NMRWin. This software provides a semi-automated measure of the whole brain volume, while measurement of substructures requires manual guidance. In addition, the ventricle-brain ratio (VBR) was assessed. All morphometric parameters differed significantly between the two groups. AHC volumes discriminated best between them with only a small overlap. These findings were confirmed when only the data of the mildly demented patients were included in the analysis. The degree of AHC atrophy exceeded that of generalized cerebral atrophy. The severity of dementia as indicated by the MMSE, GDS and BCRS scores was correlated significantly with the volumes of the AHC bilaterally, but not with whole-brain volume or with VBR. These results underline the importance of the mesial temporal substructures in the etiology and progression of DAT and indicate that the volume of the AHC can be monitored by MRI and may be used to follow up the disease process.

Rapid automatic brain volumetry on the basis of multispectral 3D MR imaging data on personal computers.

Fast magnetic resonance imaging sequences are an excellent basis for the volumetry of the human brain. We present a concept for an automatic three-dimensional (3D) segmentation and volumetry which provides rapid image processing along with minimal requirements of manual interaction on low-end hardware platforms. The concept is based on standard image segmentation techniques and provides for the determination of the total brain tissue and cerebrospinal fluid volumes from the input data base, a T1- and a T2-weighted 3D image data cube. We used a 3D MPRAGE sequence for the T1- and a 3D PSIF sequence for the T2-weighted images; both 3D image data cubes consisted of 128 sagittal image slices with a voxel size of 1.0 x 1.0 x 1.2 mm3. The segmentation and volumetry tool was applied to clinical image data of volunteers and Alzheimer patients in order to prove its stability.

Postprocessing of functional MRI data of motor cortex stimulation measured with a standard 1.5 T imager.

Functional magnetic resonance imaging (fMRI) is usually based on acquisition of alternating series of images under rest and an activation task (stimulus). Brain activation maps can be generated from fMRI data sets by applying several mathematical methods. Two methods of image postprocessing have been compared: (i) simple difference of mean values between rest and stimulation, and (ii) Student's t-test. The comparison shows that the difference method is very sensitive to arbitrary signal fluctuations as seen mainly in large vessels (e.g., in the sagittal sinus), leading to insignificantly activated spots in brain activation maps. In contrary, Student's t-test maps show strongly reduced sensitivity for fluctuations and have the advantage of giving activation thresholds by setting significance levels. This allows the comparison of activation strength between patient collectives by using a grid overlay technique leading to an observer independent quantification of the stimulation effects. The method was able to reproduce previous findings of activation differences between healthy volunteers and schizophrenic patients. Moreover, a simple algorithm for the correction of slight head movements during the functional imaging task is presented. The algorithm is based on shifting the fMRI data set relative to a reference image by maximizing the linear correlation coefficients. This leads to a further reduction of insignificant brain activation and to an improvement in brain activation map quality.