Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images

Charles DeCarli; J. Maisog; D. G M Murphy; D. Teichberg; S. I. Rapoport; B. Horwitz

Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images

Charles DeCarli, J. Maisog, D. G M Murphy, D. Teichberg, S. I. Rapoport, B. Horwitz

Research output: Contribution to journal › Article › peer-review

Abstract

We describe a simple, rapid, and semiautomated method of MR analysis based on mathematical modeling of MR pixel intensity histograms. The method is shown to be accurate and reliable for regional analysis of brain, central, and subarachnoid CSF volumes. Application of the method to five young and six older subjects revealed significant age-related changes in regional brain volumes whereas no difference was found for traced central CSF volumes or subarachnoid CSF volumes. We conclude that this is a simple method that can be applied to further studies of quantification of brain structure in healthy aging and brain disease.

Original language	English (US)
Pages (from-to)	274-284
Number of pages	11
Journal	Journal of Computer Assisted Tomography
Volume	16
Issue number	2
State	Published - 1992
Externally published	Yes

Keywords

Aging
Brain, volume
Magnetic resonance imaging, techniques

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology

Cite this

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AU - DeCarli, Charles

AU - Maisog, J.

AU - Murphy, D. G M

AU - Teichberg, D.

AU - Rapoport, S. I.

AU - Horwitz, B.

PY - 1992

Y1 - 1992

N2 - We describe a simple, rapid, and semiautomated method of MR analysis based on mathematical modeling of MR pixel intensity histograms. The method is shown to be accurate and reliable for regional analysis of brain, central, and subarachnoid CSF volumes. Application of the method to five young and six older subjects revealed significant age-related changes in regional brain volumes whereas no difference was found for traced central CSF volumes or subarachnoid CSF volumes. We conclude that this is a simple method that can be applied to further studies of quantification of brain structure in healthy aging and brain disease.

AB - We describe a simple, rapid, and semiautomated method of MR analysis based on mathematical modeling of MR pixel intensity histograms. The method is shown to be accurate and reliable for regional analysis of brain, central, and subarachnoid CSF volumes. Application of the method to five young and six older subjects revealed significant age-related changes in regional brain volumes whereas no difference was found for traced central CSF volumes or subarachnoid CSF volumes. We conclude that this is a simple method that can be applied to further studies of quantification of brain structure in healthy aging and brain disease.

KW - Aging

KW - Brain, volume

KW - Magnetic resonance imaging, techniques

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JO - Journal of Computer Assisted Tomography

JF - Journal of Computer Assisted Tomography

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IS - 2

ER -

Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images

Abstract

Keywords

ASJC Scopus subject areas

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