Abstract
This systematic literature review investigates microstrip antenna applications in image acquisition, focusing on their design characteristics, reconstruction algorithms, and application areas. We applied the PRISMA methodology for article selection. From selected studies, classifications were identified based on antenna patch geometry, substrate types, and image reconstruction algorithms. According to inclusion criteria, a significant increase in publications on this topic has been observed since 2013. Considering this trend, our study focuses on a 10-year publication range, including articles up to 2023. Results indicate that medical applications, particularly breast cancer detection, dominate this field. However, emerging areas are gaining attention, including stroke detection, bone fracture monitoring, security surveillance, avalanche radars, and weather monitoring. Our study highlights the need for more efficient algorithms, system miniaturization, and improved models to achieve precise medical imaging. Visual tools such as heatmaps and box plots are used to provide a deeper analysis, identify knowledge gaps, and offer valuable insights for future research and development in this versatile technology.
| Original language | English |
|---|---|
| Article number | 1063 |
| Journal | Electronics (Switzerland) |
| Volume | 14 |
| Issue number | 6 |
| DOIs | |
| State | Published - Mar 2025 |
Bibliographical note
Publisher Copyright:© 2025 by the authors.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- antenna design
- image acquisition
- image reconstruction algorithms
- patch antennas
- PRISMA methodology
- substrate
- systematic review
CACES Knowledge Areas
- 8417A Telecommunications
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Dive into the research topics of 'Design, Algorithms, and Applications of Microstrip Antennas for Image Acquisition: Systematic Review'. Together they form a unique fingerprint.Projects
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Design, Optimization, and Implementation of Patch Antennas for Biosensors Oriented to the Detection of Skin Moisture, Blood Glucose, and Breast Cancer Biomarkers
Mancheno Cardenas, M. X. (Col), Bueno Palomeque, F. L. (Col), Bermeo Moyano, J. P. (Col), Serpa Andrade, L. J. (Col), Chasi Pesantez, P. A. (Col), Guerrero Vasquez, L. F. (Col), Ordoñez Ordoñez, J. O. (PI) & Guachichullca Sanchez, A. F. (Student)
29/02/24 → …
Project: Research and Development
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