ArticleBiomedical optics express2018
Concentration analysis of breast tissue phantoms with terahertz spectroscopy.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Synergistic terahertz platforms for precision oncology.Theranostics · 2026Review
- Terahertz Imaging for Breast Cancer Detection.Sensors (Basel, Switzerland) · 2021Review
- Terahertz dielectric spectroscopy and solid immersion microscopy ofBiomedical optics express · 2021Article
- Development of oral cancer tissue-mimicking phantom based on polyvinyl chloride plastisol and graphite for terahertz frequencies.Journal of biomedical optics · 2020Article
- Critical Factors for In Vivo Measurements of Human Skin by Terahertz Attenuated Total Reflection Spectroscopy.Sensors (Basel, Switzerland) · 2020Article
- Breast Cancer Detection with Low-dimension Ordered Orthogonal Projection in Terahertz Imaging.IEEE transactions on terahertz science and technology · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Terahertz imaging has been previously shown to be capable of distinguishing normal breast tissue from its cancerous form, indicating its applicability to breast conserving surgery. The heterogeneous composition of breast tissue is among the main challenges to progressing this potential research towards a practical application. In this paper, two concentration analysis methods are proposed for analyzing phantoms mimicking breast tissue. The dielectric properties and the double Debye parameters were used to determine the phantom composition. The first method is wholly based on the conventional effective medium theory while the second one combines this theoretical model with empirical polynomial models. Through assessing the accuracy of these methods, their potential for application to quantifying breast tissue pathology was confirmed.
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