scholarly journals Partial-volume model for determining white matter and gray matter cerebral blood volume for analysis of gliomas

2006 ◽  
Vol 23 (3) ◽  
pp. 257-266 ◽  
Author(s):  
Michael C. Lee ◽  
Soonmee Cha ◽  
Susan M. Chang ◽  
Sarah J. Nelson
Keyword(s):  
White Matter ◽  
Blood Volume ◽  
Gray Matter ◽  
Cerebral Blood Volume ◽  
Partial Volume ◽  
Volume Model

scholarly journals Normal BOLD Response to a Step CO2 Stimulus After Correction for Partial Volume Averaging

2021 ◽  
Vol 12 ◽  
Author(s):  
Julien Poublanc ◽  
Reema Shafi ◽  
Olivia Sobczyk ◽  
Kevin Sam ◽  
Daniel M. Mandell ◽  
...  
Keyword(s):  
White Matter ◽  
Gray Matter ◽  
Volume Averaging ◽  
Cerebrovascular Reactivity ◽  
Linear Regression Method ◽  
Bold Response ◽  
Tissue Composition ◽  
Partial Volume ◽  
Arterial Blood ◽  
End Tidal

Cerebrovascular reactivity (CVR) is defined as the change in cerebral blood flow induced by a change in a vasoactive stimulus. CVR using BOLD MRI in combination with changes in end-tidal CO2 is a very useful method for assessing vascular performance. In recent years, this technique has benefited from an advanced gas delivery method where end-tidal CO2 can be targeted, measured very precisely, and validated against arterial blood gas sampling (Ito et al., 2008). This has enabled more precise comparison of an individual patient against a normative atlas of healthy subjects. However, expected control ranges for CVR metrics have not been reported in the literature. In this work, we calculate and report the range of control values for the magnitude (mCVR), the steady state amplitude (ssCVR), and the speed (TAU) of the BOLD response to a standard step stimulus, as well as the time delay (TD) as observed in a cohort of 45 healthy controls. These CVR metrics maps were corrected for partial volume averaging for brain tissue types using a linear regression method to enable more accurate quantitation of CVR metrics. In brief, this method uses adjacent voxel CVR metrics in combination with their tissue composition to write the corresponding set of linear equations for estimating CVR metrics of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). After partial volume correction, mCVR and ssCVR increase as expected in gray matter, respectively, by 25 and 19%, and decrease as expected in white matter by 33 and 13%. In contrast, TAU and TD decrease in gray matter by 33 and 13%. TAU increase in white matter by 24%, but TD surprisingly decreased by 9%. This correction enables more accurate voxel-wise tissue composition providing greater precision when reporting gray and white matter CVR values.

scholarly journals Arterial input function and gray matter cerebral blood volume measurements in children

2015 ◽  
Vol 43 (4) ◽  
pp. 981-989 ◽  
Author(s):  
Stephanie B. Withey ◽  
Jan Novak ◽  
Lesley MacPherson ◽  
Andrew C. Peet
Keyword(s):  
Blood Volume ◽  
Gray Matter ◽  
Cerebral Blood Volume ◽  
Arterial Input Function ◽  
Input Function ◽  
Volume Measurements

scholarly journals Performance of Diffusion and Perfusion MRI in Evaluating Primary Central Nervous System Lymphomas of Different Locations

2020 ◽  
Author(s):  
Zhen Xing ◽  
Nannan Kang ◽  
Yu Lin ◽  
Xiaofang Zhou ◽  
Zebin Xiao ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
White Matter ◽  
Gray Matter ◽  
Cerebral Blood Volume ◽  
Tumor Location ◽  
Perfusion Mri ◽  
Individual Treatment ◽  
Apparent Diffusion Coefficients ◽  
Cortical Gray Matter

Abstract BACKGROUND AND PURPOSE Diffusion and perfusion MRI can invasively define physical properties and angiogenic features of tumors, and guide the individual treatment. The purpose of this study was to investigate whether the diffusion and perfusion MRI parameters of primary central nervous system lymphomas (PCNSLs) are related to the tumor locations.MATERIALS AND METHODS We retrospectively reviewed the diffusion, perfusion, and conventional MRI of 68 patients with PCNSLs at different locations (group 1: cortical gray matter, group 2: white matter, group 3: deep gray matter). Relative maximum cerebral blood volume (rCBV max ) from perfusion MRI, minimum apparent diffusion coefficients (ADC min ) from DWI of each group were calculated and compared by one-way ANOVA test.RESULTS The rCBV max of PCNSLs yielded the lowest value in the white matter group, and the highest value in the cortical gray matter group ( P <0.001). However, the ADC min of each subgroup was not statistically different.CONCLUSIONS Our study confirms that rCBV max of PCNSLs are related to the tumor location, and provide simple but effective information for guiding clinical practice of PCNSLs.

The relationship of age and hypertension with cognition and gray matter cerebral blood volume in a rhesus monkey model of human aging.

2021 ◽  
Author(s):  
Chad W. Farris ◽  
Ronald J. Killiany ◽  
Elizabeth O'Donoghue ◽  
Bang-Bon Koo ◽  
Richard D. Wainford ◽  
...  
Keyword(s):  
Rhesus Monkey ◽  
Blood Volume ◽  
Gray Matter ◽  
Cerebral Blood Volume ◽  
Human Aging ◽  
Monkey Model ◽  
Relationship Of ◽  
The Relationship

Effect of white matter hyperintensities on cortical cerebral blood volume using perfusion MRI

NeuroImage ◽  
2004 ◽  
Vol 21 (4) ◽  
pp. 1350-1356 ◽  
Author(s):  
Wei Wen ◽  
Perminder Sachdev ◽  
Ron Shnier ◽  
Henry Brodaty
Keyword(s):  
White Matter ◽  
Blood Volume ◽  
White Matter Hyperintensities ◽  
Cerebral Blood Volume ◽  
Perfusion Mri

In Vivo Determination of Absolute Cerebral Blood Volume Using Hemoglobin as a Natural Contrast Agent: An MRI Study Using Altered Arterial Carbon Dioxide Tension

1999 ◽  
Vol 19 (7) ◽  
pp. 809-817 ◽  
Author(s):  
John A. Ulatowski ◽  
Joni M. E. Oja ◽  
Jose I. Suarez ◽  
Risto A. Kauppinen ◽  
Richard J. Traystman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Carbon Dioxide ◽  
White Matter ◽  
Magnetic Resonance ◽  
Contrast Agent ◽  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Spin Echo ◽  
Blood Oxygenation ◽  
Resonance Imaging

The ability of the magnetic resonance imaging transverse relaxation time, R2 = 1/T2, to quantify cerebral blood volume (CBV) without the need for an exogenous contrast agent was studied in cats (n = 7) under pentobarbital anesthesia. This approach is possible because R2 is directly affected by changes in CBF, CBV, CMRO2, and hematocrit (Hct), a phenomena better known as the blood-oxygenation-level-dependent (BOLD) effect. Changes in CBF and CBV were accomplished by altering the carbon dioxide pressure, Paco2, over a range from 20 to 140 mm Hg. For each Paco2 value, R2 in gray and white matter were determined using MRI, and the whole-brain oxygen extraction ratio was obtained from arteriovenous differences (sagittal sinus catheter). Assuming a constant CMRO2, the microvascular CBV was obtained from an exact fit to the BOLD theory for the spin-echo effect. The resulting CBV values at normal Paco2 and normalized to a common total hemoglobin concentration of 6.88 mmol/L were 42 ±18 μL/g (n = 7) and 29 ±19 μL/g (n = 5) for gray and white matter, respectively, in good agreement with the range of literature values published using independent methodologies. The present study confirms the validity of the spin-echo BOLD theory and, in addition, shows that blood volume can be quantified from the magnetic resonance imaging spin relaxation rate R2 using a regulated carbon dioxide experiment.

Partial Volume Modeling applied to the Segmentation of CSF, gray matter and white matter

NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S781 ◽  
Author(s):  
Cyril Jaggi ◽  
Su Ruan ◽  
Daniel Bloyet ◽  
Bernard Mazoyer
Keyword(s):  
White Matter ◽  
Gray Matter ◽  
Partial Volume ◽  
Volume Modeling

scholarly journals Quantitation of Regional Cerebral Blood Flow Corrected for Partial Volume Effect Using O-15 Water and PET: I. Theory, Error Analysis, and Stereologic Comparison

2000 ◽  
Vol 20 (8) ◽  
pp. 1237-1251 ◽  
Author(s):  
Hidehiro Iida ◽  
Ian Law ◽  
Bente Pakkenberg ◽  
Anders Krarup-Hansen ◽  
Stefan Eberl ◽  
...  
Keyword(s):  
Blood Flow ◽  
White Matter ◽  
Gray Matter ◽  
Regional Cerebral Blood Flow ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
Regional Cerebral Blood ◽  
Partial Volume ◽  
Cortical Gray Matter ◽  
Stereologic Analysis

Limited spatial resolution of positron emission tomography (PET) can cause significant underestimation in the observed regional radioactivity concentration (so-called partial volume effect or PVE) resulting in systematic errors in estimating quantitative physiologic parameters. The authors have formulated four mathematical models that describe the dynamic behavior of a freely diffusible tracer (H215O) in a region of interest (ROI) incorporating estimates of regional tissue flow that are independent of PVE. The current study was intended to evaluate the feasibility of these models and to establish a methodology to accurately quantify regional cerebral blood flow (CBF) corrected for PVE in cortical gray matter regions. Five monkeys were studied with PET after IV H215O two times (n = 3) or three times (n = 2) in a row. Two ROIs were drawn on structural magnetic resonance imaging (MRI) scans and projected onto the PET images in which regional CBF values and the water perfusable tissue fraction for the cortical gray matter tissue (hence the volume of gray matter) were estimated. After the PET study, the animals were killed and stereologic analysis was performed to assess the gray matter mass in the corresponding ROIs. Reproducibility of the estimated parameters and sensitivity to various error sources were also evaluated. All models tested in the current study yielded PVE-corrected regional CBF values (approximately 0.8 mL · min−1 · g−1 for models with a term for gray matter tissue and 0.5 mL · min−1 · g−1 for models with a term for a mixture of gray matter and white matter tissues). These values were greater than those obtained from ROIs tracing the gray matter cortex using conventional H215O autoradiography (approximately 0.40 mL · min−1 · g−1). Among the four models, configurations that included two parallel tissue compartments demonstrated better results with regards to the agreement of tissue time-activity curve and the Akaike's Information Criteria. Error sensitivity analysis suggested the model that fits three parameters of the gray matter CBF, the gray matter fraction, and the white matter fraction with fixed white matter CBF as the most reliable and suitable for estimating the gray matter CBF. Reproducibility with this model was 11% for estimating the gray matter CBF. The volume of gray matter tissue can also be estimated using this model and was significantly correlated with the results from the stereologic analysis. However, values were significantly smaller compared with those measured by stereologic analysis by 40%, which can not be explained by the methodologic errors. In conclusion, the partial volume correction was essential in quantitation of regional CBF. The method presented in this article provided the PVE-corrected regional CBF in the cortical gray matter tissue. This study also suggests that further studies are required before using MRI derived anatomic information for PVE correction in PET.

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