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Brain atrophy during aging. Brain atrophy was minimal in years old in both sexes, increased exponentially to the increasing age after years, and probably resulted in dementia, such as vascular or multi-infarct dementia. Brain atrophy was significantly greater in men than in women at all ages. Brain volumes were maximal in years old in both sexes with minimal individual differences which increased proportionally to the increasing age.

Progression of brain atrophy was closely related to loss of mental activities independently of their ages.

Our longitudinal study has revealed that the most important factors promoting brain atrophy during aging was the decrease in the cerebral blood flow. Brain atrophy of type I progresses significantly in almost all of the geriatric disorders. This type of brain atrophy progresses significantly in heavy smokers and drinkers. Therefore this type of brain atrophy might be caused by the grwnus in the blood flow in anterior and middle cerebral arteries.

Brain atrophy of type II was caused by the disturbance of cerebrospinal fluid circulation after cerebral bleeding and subarachnoid bleeding. Brain atrophy of type III was seen in vascular dementia or multi-infarct dementia which was caused by loss of brain matter after multiple infarction, and was seen also in dementia of Alzheimer type in which degeneration of nerve cells results in brain atrophy. NMR-CT can easily detect small infarction lacunae and edematous lesions resulting from ischemia and hypertensive encephalopathy.

Age-related brain atrophy was investigated in grenuus of persons with no neurologic disturbances using X-CT and NMR-CT and following results were obtained. Brain atrophy was minimal in 34 — 35 years old in both sexes, increased flassification to the increasing age after 34 — 35 years, and probably resulted in dementia, such as vascular or multiinfarct dementia.

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Brain volumes were maximal in 34 — 35 years old in both sexes with minimal individual differences which increased proportionally to the increasing age. Some aged subjects had little or no atrophy of their brainsas seen in young subjects, and others had markedly shrunken brains associated with senility. From these results there must be pathological factors promoting brain atrophy with a great individual difference.

We have studied the relation classificatjon intelligence to brain volume, and dez ascertained that progression of brain atrophy was closely related to loss of mental activities independently of their ages.

Our longitudinal study has revealed that the most important factors promoting brain atrophy during aging was decrease xols the cerebral blood flow. MNR-CT can easily detected small infarction lacunae and edematous lesions resulting from clwssification and hypertensive encephalopathy, while X-CT can not.

Computer tomography investigation of epilepsy the brain atrophy. The problem of brain atrophy in patients with epilepsy is often discussed in literature. The aim of the study is to present the results of computer tomography measurements of ventricular size and sulci of brain of 90 patients with various electro-clinical forms of epilepsy, including males and females at the age of 15 to 70 years.

Computer tomography measurements were performed having in mind 6 parameters frontal horn index, FHI; Huckman’s number, HZ; cella media index,CMI; clasdification of the third and the fourth ventricles; sulci.

The results were compared to the CT measurements of a control group of 40 healthy males and females in the same age range. The obtained data indicate high percentage of subcortical atrophy among patients with epilepsy. Ventricular dilatation was found to be in light extent occurring most early in the frontal brain regions frontal horns and lateral ventricles.


Brain atrophy and dementia from the aspect of CT. Two major causes of dementia in the elderly are reported to be the degeneration of brain and cerebrovascular diseases. Recently, CT findings of cerebrovascular diseases and brain atrophy have been noticed, because they rather clearly show these changes. The authors examined the view of atrophy frequently observed on the dementia in the elderly. The results obtained are as follows: However, there was no significant difference on the lesion of atrophy between the cases.

The results mentioned above include some exceptional points respectively, so further investigation will be necessary from the qualitative and quantitative points of view. Cerebral blood flow and brain atrophy correlated by xenon contrast CT scanning. Correlations between cerebral blood flow CBF measured during stable xenon contrast CT scanning and standard CT indices of brain atrophy were investigated in the patients with senile dementia of Alzheimer type, multi-infarct dementia and idiopathic Parkinson’s disease.

Compared to age-matched normal volunteers, significant correlations were found in patients with idiopathic Parkinson’s disease between cortical and subcortical gray matter blood flow and brain atrophy estimated by the ventricular body ratio, and mild to moderate brain atrophy were correlated with stepwise CBF reductions.

However, in patients with senile dementia of Alzheimer type and multi-infarct dementia, brain atrophy was not associated with stepwise CBF reductions. Overall correlations between brain atrophy and reduced CBF were weak. Mild degrees of brain atrophy are not always associated with reduced CBF.

Analysis of MRI in chronic alcoholics with brain atrophy. To quantitatively evaluate by MRI brain atrophy and abnormal classificatioon signal intensity on Grenks spin echo image in alcoholics.

The alcoholics and controls were divided into two age groups, younger years and older yearsand statistical analysis was then performed. Axial and sagittal T1- and T2-weighted spin echo images were obtained using a 0. Statistical significant parameters in the supratentorial region were cerebral sulcal width, distance between lateral ends of frontal horns of both lateral grenue, and third ventricular width p ventricular width, ambient cistern width, cerebellopontine angle cistern width, number of cerebellar classification, and number of vermian sulci p ventricular width, ambient cistern width, cerebellopontine angle cistern width, number of cerebellar sulci, and number of vermian sulci clasdification ventricular width, fourth ventricular width, number of cerebellar sulci, and number of vermian sulci p brain changes and periventricular high signal foci on T2-weighted spin echo image are.

Age-related infra-tentorial brain atrophy on CT scan. We had reported cpassification the brain atrophy progressed significantly with advancing age using the two dimensional CT measurement by digitizer which was connected with personal computer.

Using this method, we studied the age-related infra-tentrial brain atrophy in 67 normal subjects yearsand compared that with age-related supra-tentrial brain atrophy. There was a significant correlation between age and all indices [cranio- ventricular index CVIventricular area index VAI and brain atrophy index BAI ] in supratentrial brain.

These indices did not correlated to the age in infra-tentrial brain brainstem and cerebellum. Significant change of the brain atrophy occured above 60 years old was observed by BAI and VAI in supra-tentrial brain. There was a significant correlation between supra-tentrial brain atrophy index BAI and that of infratentrial brain.

These results indicate that age-related brain atrophy might progress more slowly in brainstem and cerebellum than in cerebrum.

Cube propagation for focal brain atrophy estimation.

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They are used as secondary outcomes in drug trials, and they correlate with the cognitive scores. When two successive scans are non-linearly aligned Cerebrospinal fluid volumetric MRI mapping as a simple measurement for evaluating brain atrophy.

Atrophy -specific MRI brain template for Alzheimer’s disease and mild cognitive impairment.

Increase of the lateral ventricular volume is strongly correlated with the progression of the disease. High variability in the degree of atrophy for subjects with AD Alzheimer’s and Dementia, Figure 1 shows images through 6 example values of increasing RLVV. Conclusions The proposed method and resulting template will be useful tools for the development of grennus automatic image processing methods targeted Features of brain atrophy in Parkinson’s disease.

Multiple parameters for brain volume and mass were studied in 85 parkinsonian patients and in normal controls aged 24 to 89 using CT scanning. In controls there was reduction in brain substance with advancing age.


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Increased brain atrophy in patients with Parkinson’s disease PD was mainly observed in the younger age group of 24 to This included parameters evaluating the size of the lateral and third ventricles and the size of the subarachnoid space in the frontal interhemispheric and Sylvian fissures.

With computed canonical correlation analysis a formula was obtained which expressed the tendency of the atrophic process in PD to involve the classigication surrounding the third ventricle and the mesial aspect of the frontal lobes more than during dss aging.

The influences of silent cerebral infarction and hypertension on brain atrophy in normal adults. We studied the influences of silent brain infarction SBI and hypertension on brain atrophy slls its longitudinal progression in healthy adults.

MRI scans were performed on neurologically normal adults mean age, Patient histories of hypertension, smoking habits, and alcohol consumption were examined. We evaluated brain atrophy using the brain atrophy index BAI; the ratio of the brain area to the intracranial area and the ventricular atrophy index VAI; classiication ratio of the ventricular area to the brain area on MRI T1-weighted images at the levels of the basal ganglia and lateral ventricle in horizontal sections.

There were no differences in age, sex, dyslipidemia, body classificwtion index BMIsmoking habit, and alcohol consumption between the normal group and the SBI or hypertension group. The present results suggest that the SBI and hypertension are accelerating factors for brain atrophy and ventricular dilatation. Total, peripheral subarachnoidal, and ventricular T CT findings of brain atrophy after chemotherapy drs acute leukemia. A study was performed to evaluate the atrophic changes of the central nerve system after chemotherapy in the patients with acute leukemia.

The results were as follows: Age distribution was from 14 to 5 years mean was 26 years. Brain atrophy was noted in 16 patients including cortical and subcortical atrophy 15 cases and subcortical atrophy 1 case. Two cases of hemorrhage, one each of intracranial hematoma and chronic subdural hematoma were found in addition to brain atrophy.

This showed clsssification chemotherapeutic agents cause brain atrophy in a considerable number of the patients with symptomatic acute leukemia. Computerized tomography in diagnosing cerebral atrophy measurements of the ventricular system and hemispheric sulci in healthy adults. Brain atrophy problem faced in healthy adults and in patients with a variety of diseases is disputable in the literature. An important issue of interpretation of CT-results is the criterion of normal values of sold ventricular system and sulci.

The results obtained in this investigation of forty healthy adults help to establish ded values in norm and pathology. The data are compared with those reported by other authors. A number of characteristic features, attributable to gender and age, are noted. Preliminary study on computer automatic quantification of brain atrophy. To study classificatin variability of normal brain volume with the sex and age, and put forward an objective standard for computer automatic quantification of brain atrophy.

The cranial volume, brain volume and brain parenchymal fraction BPF of cases of classjfication atrophy males, females and cases of normal subjects classificatlon, females were calculated with the newly developed algorithm of automatic quantification for brain atrophy. With the technique of polynomial curve fitting, the mathematical relationship of BPF with age in normal subjects was analyzed.

The difference of BPF between the two groups was extremely significant P 0. Brain atrophy in multiple sclerosis: Directory of Open Access Journals Sweden. Today, there is an important body of evidence that supports the hypothesis that gray matter involvement and the neurodegenerative mechanism are at least partially independent from inflammation.

Gray matter atrophy develops faster than white matter atrophyand predominates in the initial stages of the disease.

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