DTI-based upper limit of voxel free water fraction

Background: Free water (FW) in neuroimaging is non-flowing extracellular water in the cranium and brain tissue, and includes both cerebral spinal fluid (CSF) and fluid in intercellular space or edema. For a region such as a voxel (spatial unit of measurement in neuroimaging), the FW fraction is defi...

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Main Authors: Paul M. Macey, M. Albert Thomas, Luke A. Henderson
Format: Article
Language:English
Published: Elsevier 2018-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844018305991
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spelling doaj-dfe575722c0b4eda89c31d5e39eff6752020-11-25T02:02:23ZengElsevierHeliyon2405-84402018-07-0147e00700DTI-based upper limit of voxel free water fractionPaul M. Macey0M. Albert Thomas1Luke A. Henderson2UCLA School of Nursing, University of California at Los Angeles, Los Angeles, California, USA; Brain Research Institute, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California, USA; Corresponding author.Department of Radiological Sciences, David Geffen School of Medicine at UCLA, University of California at Los Angeles, Los Angeles, California, USADepartment of Anatomy, University of Sydney, Sydney, New South Wales, AustraliaBackground: Free water (FW) in neuroimaging is non-flowing extracellular water in the cranium and brain tissue, and includes both cerebral spinal fluid (CSF) and fluid in intercellular space or edema. For a region such as a voxel (spatial unit of measurement in neuroimaging), the FW fraction is defined as the volume fraction of FW within that volume. Quantifying the FW fraction allows estimating contamination by fluid of neuroimaging or magnetic resonance spectroscopy measurements within a voxel. New method: An upper limit to the fraction of FW within a voxel, based on any diffusion tensor imaging (DTI) sequence including a standard single shell at one b-value, can be derived from the standard diffusion tensor by scaling the third eigenvalue of the diffusion tensor. Assuming a two-compartment model, the diffusivity of a voxel is a combination of tissue and FW diffusivity. FW fraction is FW volume divided by voxel volume. Assuming FW diffuses equally in all directions, the diffusivity component is representable by a single, non-tensor diffusivity value. Since the diffusivity of water is known for a given temperature, and brain temperature is relatively constant, the FW diffusivity value can be assumed constant. The third eigenvector of the voxel diffusion tensor is the direction of least diffusivity and since the FW component of diffusivity is equal in all directions, we show that FW diffusivity cannot be lower than the third eigenvalue. Assuming FW contributes proportionally to voxel diffusivity, we show that the third eigenvalue divided by water diffusivity (as a constant based on known water diffusivity at 36.7 °C) forms an upper limit on the FW-fraction (fUL). Results: We calculated fUL for 384 subjects from the IXI dataset. Values mostly ranged from 0.1 to 0.6, and were closely related to radial diffusivity.Comparison with Existing Methods: fUL is easily calculated from any DTI data, but is not a true estimate of FW-fraction. Conclusions: The fUL measure offers a starting point in calculating the true FW-fraction of a voxel, or an easy-to-calculate voxel characteristic.http://www.sciencedirect.com/science/article/pii/S2405844018305991Medical imagingNeuroscience
collection DOAJ
language English
format Article
sources DOAJ
author Paul M. Macey
M. Albert Thomas
Luke A. Henderson
spellingShingle Paul M. Macey
M. Albert Thomas
Luke A. Henderson
DTI-based upper limit of voxel free water fraction
Heliyon
Medical imaging
Neuroscience
author_facet Paul M. Macey
M. Albert Thomas
Luke A. Henderson
author_sort Paul M. Macey
title DTI-based upper limit of voxel free water fraction
title_short DTI-based upper limit of voxel free water fraction
title_full DTI-based upper limit of voxel free water fraction
title_fullStr DTI-based upper limit of voxel free water fraction
title_full_unstemmed DTI-based upper limit of voxel free water fraction
title_sort dti-based upper limit of voxel free water fraction
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2018-07-01
description Background: Free water (FW) in neuroimaging is non-flowing extracellular water in the cranium and brain tissue, and includes both cerebral spinal fluid (CSF) and fluid in intercellular space or edema. For a region such as a voxel (spatial unit of measurement in neuroimaging), the FW fraction is defined as the volume fraction of FW within that volume. Quantifying the FW fraction allows estimating contamination by fluid of neuroimaging or magnetic resonance spectroscopy measurements within a voxel. New method: An upper limit to the fraction of FW within a voxel, based on any diffusion tensor imaging (DTI) sequence including a standard single shell at one b-value, can be derived from the standard diffusion tensor by scaling the third eigenvalue of the diffusion tensor. Assuming a two-compartment model, the diffusivity of a voxel is a combination of tissue and FW diffusivity. FW fraction is FW volume divided by voxel volume. Assuming FW diffuses equally in all directions, the diffusivity component is representable by a single, non-tensor diffusivity value. Since the diffusivity of water is known for a given temperature, and brain temperature is relatively constant, the FW diffusivity value can be assumed constant. The third eigenvector of the voxel diffusion tensor is the direction of least diffusivity and since the FW component of diffusivity is equal in all directions, we show that FW diffusivity cannot be lower than the third eigenvalue. Assuming FW contributes proportionally to voxel diffusivity, we show that the third eigenvalue divided by water diffusivity (as a constant based on known water diffusivity at 36.7 °C) forms an upper limit on the FW-fraction (fUL). Results: We calculated fUL for 384 subjects from the IXI dataset. Values mostly ranged from 0.1 to 0.6, and were closely related to radial diffusivity.Comparison with Existing Methods: fUL is easily calculated from any DTI data, but is not a true estimate of FW-fraction. Conclusions: The fUL measure offers a starting point in calculating the true FW-fraction of a voxel, or an easy-to-calculate voxel characteristic.
topic Medical imaging
Neuroscience
url http://www.sciencedirect.com/science/article/pii/S2405844018305991
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