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Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions
OBJECTIVE: The goal of this work is to provide temperature and concentration calibration of water diffusivity in polyvinylpyrrolidone (PVP) solutions used in phantoms to assess system bias and linearity in apparent diffusion coefficient (ADC) measurements. METHOD: ADC measurements were performed for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090959/ https://www.ncbi.nlm.nih.gov/pubmed/35184316 http://dx.doi.org/10.1002/mp.15556 |
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author | Amouzandeh, Ghoncheh Chenevert, Thomas L. Swanson, Scott D. Ross, Brian D. Malyarenko, Dariya I. |
author_facet | Amouzandeh, Ghoncheh Chenevert, Thomas L. Swanson, Scott D. Ross, Brian D. Malyarenko, Dariya I. |
author_sort | Amouzandeh, Ghoncheh |
collection | PubMed |
description | OBJECTIVE: The goal of this work is to provide temperature and concentration calibration of water diffusivity in polyvinylpyrrolidone (PVP) solutions used in phantoms to assess system bias and linearity in apparent diffusion coefficient (ADC) measurements. METHOD: ADC measurements were performed for 40 kDa (K40) PVP of six concentrations (0%, 10%, 20%, 30%, 40%, and 50% by weight) at three temperatures (19.5°C, 22.5°C, and 26.4°C), with internal phantom temperature monitored by optical thermometer (±0.2°C). To achieve ADC measurement and fit accuracy of better than 0.5%, three orthogonal diffusion gradients were calibrated using known water diffusivity at 0°C and system gradient nonlinearity maps. Noise‐floor fit bias was also controlled by limiting the maximum b‐value used for ADC calculation of each sample. The ADC temperature dependence was modeled by Arrhenius functions of each PVP concentration. The concentration dependence was modeled by quadratic function for ADC normalized by the theoretical water diffusion values. Calibration coefficients were obtained from linear regression model fits. RESULTS: Measured phantom ADC values increased with temperature and decreasing PVP concentration, [PVP]. The derived Arrhenius model parameters for [PVP] between 0% and 50%, are reported and can be used for K40 ADC temperature calibration with absolute ADC error within ±0.016 μm(2)/ms. Arrhenius model fit parameters normalized to water value scaled with [PVP] between 10% and 40%, and proportional change in activation energy increased faster than collision frequency. ADC normalization by water diffusivity, D (W), from the Speedy–Angell relation accounted for the bulk of temperature dependence (±0.035 μm(2)/ms) and yielded quadratic calibration for ADC(PVP)/D (W )= (12.5 ± 0.7) ·10(−5)·[PVP](2) − (23.2 ± 0.3)·10(−3)·[PVP]+1, nearly independent of PVP molecular weight and temperature. CONCLUSION: The study provides ground‐truth ADC values for K40 PVP solutions commonly used in diffusion phantoms for scanning at ambient room temperature. The described procedures and the reported calibration can be used for quality control and standardization of measured ADC values of PVP at different concentrations and temperatures. |
format | Online Article Text |
id | pubmed-9090959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90909592022-10-14 Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions Amouzandeh, Ghoncheh Chenevert, Thomas L. Swanson, Scott D. Ross, Brian D. Malyarenko, Dariya I. Med Phys QUANTITATIVE IMAGING AND IMAGE PROCESSING OBJECTIVE: The goal of this work is to provide temperature and concentration calibration of water diffusivity in polyvinylpyrrolidone (PVP) solutions used in phantoms to assess system bias and linearity in apparent diffusion coefficient (ADC) measurements. METHOD: ADC measurements were performed for 40 kDa (K40) PVP of six concentrations (0%, 10%, 20%, 30%, 40%, and 50% by weight) at three temperatures (19.5°C, 22.5°C, and 26.4°C), with internal phantom temperature monitored by optical thermometer (±0.2°C). To achieve ADC measurement and fit accuracy of better than 0.5%, three orthogonal diffusion gradients were calibrated using known water diffusivity at 0°C and system gradient nonlinearity maps. Noise‐floor fit bias was also controlled by limiting the maximum b‐value used for ADC calculation of each sample. The ADC temperature dependence was modeled by Arrhenius functions of each PVP concentration. The concentration dependence was modeled by quadratic function for ADC normalized by the theoretical water diffusion values. Calibration coefficients were obtained from linear regression model fits. RESULTS: Measured phantom ADC values increased with temperature and decreasing PVP concentration, [PVP]. The derived Arrhenius model parameters for [PVP] between 0% and 50%, are reported and can be used for K40 ADC temperature calibration with absolute ADC error within ±0.016 μm(2)/ms. Arrhenius model fit parameters normalized to water value scaled with [PVP] between 10% and 40%, and proportional change in activation energy increased faster than collision frequency. ADC normalization by water diffusivity, D (W), from the Speedy–Angell relation accounted for the bulk of temperature dependence (±0.035 μm(2)/ms) and yielded quadratic calibration for ADC(PVP)/D (W )= (12.5 ± 0.7) ·10(−5)·[PVP](2) − (23.2 ± 0.3)·10(−3)·[PVP]+1, nearly independent of PVP molecular weight and temperature. CONCLUSION: The study provides ground‐truth ADC values for K40 PVP solutions commonly used in diffusion phantoms for scanning at ambient room temperature. The described procedures and the reported calibration can be used for quality control and standardization of measured ADC values of PVP at different concentrations and temperatures. John Wiley and Sons Inc. 2022-03-03 2022-05 /pmc/articles/PMC9090959/ /pubmed/35184316 http://dx.doi.org/10.1002/mp.15556 Text en © 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | QUANTITATIVE IMAGING AND IMAGE PROCESSING Amouzandeh, Ghoncheh Chenevert, Thomas L. Swanson, Scott D. Ross, Brian D. Malyarenko, Dariya I. Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title | Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title_full | Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title_fullStr | Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title_full_unstemmed | Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title_short | Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
title_sort | technical note: temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions |
topic | QUANTITATIVE IMAGING AND IMAGE PROCESSING |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090959/ https://www.ncbi.nlm.nih.gov/pubmed/35184316 http://dx.doi.org/10.1002/mp.15556 |
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