Literature DB >> 310978

The calculation of CSF spaces in CT.

H Hacker, H Artmann.   

Abstract

Objective digital determination of CSF spaces is discussed, with ventricular and subarachnoid spaces handled separately. This method avoids the difficulty of visual definition of ventricular borders in planimetric measurements. The principle is to count automatically all pixels corresponding to CSF in a given region with a Hounsfield unit and to multiply this number by the pixel size. This will give the total surface area of CSF spaces in square millimeters. The calculation of pixel values for CSF spaces and brain tissue is experimentally formulated taking the intersection of the Gaussian curves for ventricular content and brain tissue. In practice, the determination of CSF spaces is done by first calculating a histogram of the total brain in a given slice defining all CSF spaces. Next a histogram of a region including ventricles with adjoining tissue is calculated and the ventricular size is calculated. By subtraction of the ventricle value from the total CSF space value, the subarachnoid space size is obtained. The advantages of this method will be discussed.

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Mesh:

Year:  1978        PMID: 310978     DOI: 10.1007/bf00395247

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  5 in total

1.  Changes in size of normal lateral ventricles during aging determined by computerized tomography.

Authors:  S A Barron; L Jacobs; W R Kinkel
Journal:  Neurology       Date:  1976-11       Impact factor: 9.910

2.  Age and sex dependence of the size of normal ventricles on computed tomography.

Authors:  G Haug
Journal:  Neuroradiology       Date:  1977-12-31       Impact factor: 2.804

3.  Determination of volume from computerized tomograms: finding the volume of fluid-filled brain cavities.

Authors:  R L Walser; L V Ackerman
Journal:  J Comput Assist Tomogr       Date:  1977-01       Impact factor: 1.826

4.  Measurements of the normal ventricular system and hemispheric sulci of 100 adults with computed tomography.

Authors:  C Gyldensted
Journal:  Neuroradiology       Date:  1977-12-31       Impact factor: 2.804

5.  The validity of criteria for the evaluation of cerebral atrophy by computed tomography.

Authors:  M S Huckman; J Fox; J Topel
Journal:  Radiology       Date:  1975-07       Impact factor: 11.105

  5 in total
  8 in total

1.  Comparison of computerized tomography with magnetic resonance imaging (MRI) in the evaluation of encephalic ventricular volume.

Authors:  G D Cramer; D J Allen; L J DiDio; W Potvin; R Brinker
Journal:  Surg Radiol Anat       Date:  1990       Impact factor: 1.246

2.  A fully-automated computer-assisted method of CT brain scan analysis for the measurement of cerebrospinal fluid spaces and brain absorption density.

Authors:  R E Baldy; G S Brindley; I Ewusi-Mensah; R R Jacobson; M A Reveley; S W Turner; W A Lishman
Journal:  Neuroradiology       Date:  1986       Impact factor: 2.804

Review 3.  Evaluation and measurement of the normal ventricular and subarachnoid spaces by CT.

Authors:  L Sabattini
Journal:  Neuroradiology       Date:  1982       Impact factor: 2.804

4.  A quantitative approach to measuring the cerebrospinal fluid space with CT.

Authors:  H Zeumer; W Hacke; P Hartwich
Journal:  Neuroradiology       Date:  1982       Impact factor: 2.804

5.  Cerebral atrophy in Parkinson's disease--represented in CT.

Authors:  H Becker; E Schneider; H Hacker; P A Fischer
Journal:  Arch Psychiatr Nervenkr (1970)       Date:  1979-07-04

6.  Age-dependent changes in the histogram of apparent diffusion coefficients values in magnetic resonance imaging.

Authors:  Uwe Klose; Marion Batra; Thomas Nägele
Journal:  Front Aging Neurosci       Date:  2013-11-19       Impact factor: 5.750

7.  Computed tomography provides enhanced techniques for longitudinal monitoring of progressive intracranial volume loss associated with regional neurodegeneration in ovine neuronal ceroid lipofuscinoses.

Authors:  Katharina N Russell; Nadia L Mitchell; Nigel G Anderson; Craig R Bunt; Martin P Wellby; Tracy R Melzer; Graham K Barrell; David N Palmer
Journal:  Brain Behav       Date:  2018-08-23       Impact factor: 2.708

8.  Recommendations for Processing Head CT Data.

Authors:  John Muschelli
Journal:  Front Neuroinform       Date:  2019-09-04       Impact factor: 4.081

  8 in total

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