Measurement of extracellular volume fraction using magnetic resonance-based conductivity tensor imaging Article Swipe
Bup Kyung Choi
,
Nitish Katoch
,
Ji Ae Park
,
Jin Woong Kim
,
Tong In Oh
,
Hyung Joong Kim
,
Eung Je Woo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fphys.2023.1132911
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fphys.2023.1132911
Conductivity tensor imaging (CTI) using MRI is an advanced method that can non-invasively measure the electrical properties of living tissues. The contrast of CTI is based on underlying hypothesis about the proportionality between the mobility and diffusivity of ions and water molecules inside tissues. The experimental validation of CTI in both in vitro and in vivo settings is required as a reliable tool to assess tissue conditions. The changes in extracellular space can be indicators for disease progression, such as fibrosis, edema, and cell swelling. In this study, we conducted a phantom imaging experiment to test the feasibility of CTI for measuring the extracellular volume fraction in biological tissue. To mimic tissue conditions with different extracellular volume fractions, four chambers of giant vesicle suspension (GVS) with different vesicle densities were included in the phantom. The reconstructed CTI images of the phantom were compared with the separately-measured conductivity spectra of the four chambers using an impedance analyzer. Moreover, the values of the estimated extracellular volume fraction in each chamber were compared with those measured by a spectrophotometer. As the vesicle density increased, we found that the extracellular volume fraction, extracellular diffusion coefficient, and low-frequency conductivity decreased, while the intracellular diffusion coefficient slightly increased. On the other hand, the high-frequency conductivity could not clearly distinguish the four chambers. The extracellular volume fraction measured by the spectrophotometer and CTI method in each chamber were quite comparable, i.e., (1.00, 0.98 ± 0.01), (0.59, 0.63 ± 0.02), (0.40, 0.40 ± 0.05), and (0.16, 0.18 ± 0.02). The prominent factor influencing the low-frequency conductivity at different GVS densities was the extracellular volume fraction. Further studies are needed to validate the CTI method as a tool to measure the extracellular volume fractions in living tissues with different intracellular and extracellular compartments.
Related Topics
Concepts
Extracellular
Imaging phantom
Volume fraction
Biomedical engineering
Extracellular fluid
Extracellular vesicle
Nuclear magnetic resonance
Materials science
Chemistry
Analytical Chemistry (journal)
Nuclear medicine
Chromatography
Medicine
Physics
Biochemistry
Composite material
microRNA
Gene
Microvesicles
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fphys.2023.1132911
- OA Status
- gold
- Cited By
- 4
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321221354
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321221354Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fphys.2023.1132911Digital Object Identifier
- Title
-
Measurement of extracellular volume fraction using magnetic resonance-based conductivity tensor imagingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-13Full publication date if available
- Authors
-
Bup Kyung Choi, Nitish Katoch, Ji Ae Park, Jin Woong Kim, Tong In Oh, Hyung Joong Kim, Eung Je WooList of authors in order
- Landing page
-
https://doi.org/10.3389/fphys.2023.1132911Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3389/fphys.2023.1132911Direct OA link when available
- Concepts
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Extracellular, Imaging phantom, Volume fraction, Biomedical engineering, Extracellular fluid, Extracellular vesicle, Nuclear magnetic resonance, Materials science, Chemistry, Analytical Chemistry (journal), Nuclear medicine, Chromatography, Medicine, Physics, Biochemistry, Composite material, microRNA, Gene, MicrovesiclesTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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