𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Volumetric analysis of white matter, gray matter, and CSF using fractional volume analysis

✍ Scribed by Barry J. Bedell; Ponnada A. Narayana

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
1000 KB
Volume
39
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Quantitative cerebral tissue volumes may be useful for an objective assessment of pathological changes in brain. Accurate determination of tissue volumes is complicated, however, by the partial volume averaging (PVA) effect. We have, therefore, developed a new pulse sequence that minimizes the PVA through the use of inversion‐recovery (IR) and double inversion‐recovery (DIR) techniques. This pulse sequence simultaneously acquires four different sets of images to provide the necessary information for volumetric analysis and reduces potential spatial misregistration of images due to patient motion. The image sets acquired from the proposed pulse sequence are 1) gray matter visible, 2) white matter visible, 3) FLAIR, and 4) fast spin‐echo proton‐density weighted images. An algorithm has been implemented to correct for differential T~1~‐weighting and for tissue quantitation.

📜 SIMILAR VOLUMES

Partial-volume model for determining whi
Partial-volume model for determining white matter and gray matter cerebral blood volume for analysis of gliomas
✍ Michael C. Lee; Soonmee Cha; Susan M. Chang; Sarah J. Nelson 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 730 KB

## Abstract ## Purpose To model the partial voluming of gray matter (GM) and white matter (WM) in perfusion imaging, and to use this model to estimate the cerebral blood volume (CBV) of pure WM and GM, which could then be used to normalize data across patients in preparation for analyzing tumor pe

A statistical method for determining the
A statistical method for determining the proportions of gray matter, white matter, and CSF using computed tomography
✍ H. T. Thaler; P. W. Ferber; D. A. Rottenberg 📂 Article 📅 1978 🏛 Springer 🌐 English ⚖ 279 KB

The brain may be considered as a collection of volume elements (voxels) containing unknown proportions of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). If one assumes that (1) the attenuation coefficients for voxels with the same proportions of GM, WM, and CSF follow a Gaussian

Reducing the impact of white matter lesi
Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes
✍ Declan T. Chard; Jonathan S. Jackson; David H. Miller; Claudia A.M. Wheeler-King 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 175 KB 👁 1 views

## Abstract ## Purpose: To develop an automated lesion‐filling technique (LEAP; LEsion Automated Preprocessing) that would reduce lesion‐associated brain tissue segmentation bias (which is known to affect automated brain gray [GM] and white matter [WM] tissue segmentations in people who have multi

Plasticity of gray matter volume: The ce
Plasticity of gray matter volume: The cellular and synaptic plasticity that underlies volumetric change
✍ Brenda J. Anderson 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 662 KB

## Abstract Fifty years ago, Mark Rosenzweig and coworkers described environmental effects on brain chemistry and gross brain weight. William Greenough then used stereological tools, electron microscopy, and the Golgi stain to demonstrate that enrichment led to dendritic growth and synapse addition

Quantitative analysis of short echo time
Quantitative analysis of short echo time 1H-MRSI of cerebral gray and white matter
✍ Mary A. McLean; Friedrich G. Woermann; Gareth J. Barker; John S. Duncan 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 372 KB

Quantitative analysis of (1)H-magnetic resonance spectroscopic imaging (MRSI) data was developed using the user-independent spectral analysis routine LCModel. Tissue segmentation was performed using statistical parametric mapping software (SPM 96), and the results were used to correct for cerebrospi