Measurement and image-based estimation of dielectric properties of biological tissues -past, present, and future
← Research streamThis review summarizes reported findings on dielectric properties of biological tissues at frequencies up to 1 THz since the 1996 dielectric property database (10 Hz to 20 GHz) was developed. It includes intercomparisons across tissue types, covers malignant …
Study snapshot
Abstract
Measurement and image-based estimation of dielectric properties of biological tissues -past, present, and future Sasaki K, Porter E, Rashed EA, Farrugia L, Schmid G. Measurement and image-based estimation of dielectric properties of biological tissues -past, present, and future. Phys Med Biol. 2022;67(14):10.1088/1361- 6560/ac7b64. Published 2022 Jul 8. doi:10.1088/1361-6560/ac7b64. Abstract The dielectric properties of biological tissues are fundamental pararmeters that are essential for electromagnetic modeling of the human body. The primary database of dielectric properties compiled in 1996 on the basis of dielectric measurements at frequencies from 10 Hz to 20 GHz has attracted considerable attention in the research field of human protection from non-ionizing radiation. This review summarizes findings on the dielectric properties of biological tissues at frequencies up to 1 THz since the database was developed. Although the 1996 database covered general (normal) tissues, this review also covers malignant tissues that are of interest in the research field of medical applications. An intercomparison of dielectric properties based on reported data is presented for several tissue types. Dielectric properties derived from image-based estimation techniques developed as a result of recent advances in dielectric measurement are also included. Finally, research essential for future advances in human body modeling is discussed. Open access paper: iopscience.iop.org
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
This review summarizes reported findings on dielectric properties of biological tissues at frequencies up to 1 THz since the 1996 dielectric property database (10 Hz to 20 GHz) was developed. It includes intercomparisons across tissue types, covers malignant tissues, and includes dielectric properties derived from image-based estimation techniques.
Outcomes measured
- Dielectric properties of biological tissues
- Dielectric properties measurement data (reported since 1996 database)
- Image-based estimation of dielectric properties
- Intercomparison of dielectric properties across tissue types
- Dielectric properties of malignant tissues (as covered in review)
View raw extracted JSON
{
"study_type": "review",
"exposure": {
"band": null,
"source": null,
"frequency_mhz": null,
"sar_wkg": null,
"duration": null
},
"population": null,
"sample_size": null,
"outcomes": [
"Dielectric properties of biological tissues",
"Dielectric properties measurement data (reported since 1996 database)",
"Image-based estimation of dielectric properties",
"Intercomparison of dielectric properties across tissue types",
"Dielectric properties of malignant tissues (as covered in review)"
],
"main_findings": "This review summarizes reported findings on dielectric properties of biological tissues at frequencies up to 1 THz since the 1996 dielectric property database (10 Hz to 20 GHz) was developed. It includes intercomparisons across tissue types, covers malignant tissues, and includes dielectric properties derived from image-based estimation techniques.",
"effect_direction": "unclear",
"limitations": [],
"evidence_strength": "insufficient",
"confidence": 0.74,
"peer_reviewed_likely": "yes",
"keywords": [
"dielectric properties",
"biological tissues",
"electromagnetic modeling",
"non-ionizing radiation",
"human body modeling",
"image-based estimation",
"malignant tissues",
"10 Hz to 1 THz",
"20 GHz",
"THz"
],
"suggested_hubs": []
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: 10.1088/1361
PubMed: Not supplied
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