3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation Article Swipe
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/piers53385.2021.9695090
The main aim of this paper is to upgrade MammoWave acquisition and appropriately extend the Huygens Principle (HP) algorithm for allowing a 3D imaging reconstruction.\nThe MammoWave device contains a cylindrical hub and two antennas, which are positioned\nat the same height and connected to a 2-port vector network analyser (Cobalt C1209, Copper\nMountain, Indianapolis, IN). The two antennas can rotate azimuthally all around the object to\nbe imaged. Measurements are performed by recording the complex S21 in a multi-bistatic fashion.\nIn this paper, we have achieved a phantom-based investigation using a multi-quote scanning\nprocedure via MammoWave operating at a 1–6.5 GHz frequency range. Specifically, a cylindrical\nphantom possessing a radius of 5.5 cm and height of 13 cm is constructed and a 3D structured\nvolumetric flask with a spherical bottom (radius 1.75 cm) is used as inclusion. The materials\nand mixtures used in the preparation of the phantom have a contrast of 5 in dielectric properties. Next, measurements at planes along the z-axis are performed and multi-quote data are\nused in a modified version of the HP-based algorithm via superimposition theorem. The complex\n6 × 15 × 80 S21 is processed allowing 3D imaging reconstruction; our results clearly show the 3D\nvisualisation of the detected inclusion at multiple planes. In more detail, we verified that the\ndimension of the detected inclusion varies in the different planes of visualisation, accordingly to\nthe spherical inclusion cross-section, with an average error in dimension qualification of < 10%.\n
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/piers53385.2021.9695090
- OA Status
- gold
- Cited By
- 3
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226160440
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4226160440Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/piers53385.2021.9695090Digital Object Identifier
- Title
-
3D Microwave Imaging Using Huygens Principle: A Phantom-based ValidationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-21Full publication date if available
- Authors
-
Bilal Khalid, Banafsheh Khalesi, Navid Ghavami, Sandra Dudley, Mohammad Ghavami, Gianluigi TiberiList of authors in order
- Landing page
-
https://doi.org/10.1109/piers53385.2021.9695090Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/PIERS53385.2021.9695090Direct OA link when available
- Concepts
-
Imaging phantom, RADIUS, Physics, Optics, Dimension (graph theory), Computer science, Microwave imaging, Azimuth, Microwave, Mathematics, Quantum mechanics, Computer security, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
10Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4226160440 |
|---|---|
| doi | https://doi.org/10.1109/piers53385.2021.9695090 |
| ids.doi | https://doi.org/10.1109/piers53385.2021.9695090 |
| ids.openalex | https://openalex.org/W4226160440 |
| fwci | 0.27720689 |
| type | article |
| title | 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 2896 |
| biblio.first_page | 2892 |
| topics[0].id | https://openalex.org/T11739 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Microwave Imaging and Scattering Analysis |
| topics[1].id | https://openalex.org/T11609 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9965000152587891 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2212 |
| topics[1].subfield.display_name | Ocean Engineering |
| topics[1].display_name | Geophysical Methods and Applications |
| topics[2].id | https://openalex.org/T11607 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9945999979972839 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Microwave and Dielectric Measurement Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C104293457 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8417286276817322 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q28324852 |
| concepts[0].display_name | Imaging phantom |
| concepts[1].id | https://openalex.org/C178635117 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5258952975273132 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q747499 |
| concepts[1].display_name | RADIUS |
| concepts[2].id | https://openalex.org/C121332964 |
| concepts[2].level | 0 |
| concepts[2].score | 0.49920105934143066 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[2].display_name | Physics |
| concepts[3].id | https://openalex.org/C120665830 |
| concepts[3].level | 1 |
| concepts[3].score | 0.4795948565006256 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[3].display_name | Optics |
| concepts[4].id | https://openalex.org/C33676613 |
| concepts[4].level | 2 |
| concepts[4].score | 0.465350478887558 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q13415176 |
| concepts[4].display_name | Dimension (graph theory) |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4497032165527344 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C2779885931 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4475642740726471 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q17010029 |
| concepts[6].display_name | Microwave imaging |
| concepts[7].id | https://openalex.org/C159737794 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4444788098335266 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q124274 |
| concepts[7].display_name | Azimuth |
| concepts[8].id | https://openalex.org/C44838205 |
| concepts[8].level | 2 |
| concepts[8].score | 0.37718507647514343 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q127995 |
| concepts[8].display_name | Microwave |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.2207432985305786 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C62520636 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[10].display_name | Quantum mechanics |
| concepts[11].id | https://openalex.org/C38652104 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[11].display_name | Computer security |
| concepts[12].id | https://openalex.org/C202444582 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q837863 |
| concepts[12].display_name | Pure mathematics |
| keywords[0].id | https://openalex.org/keywords/imaging-phantom |
| keywords[0].score | 0.8417286276817322 |
| keywords[0].display_name | Imaging phantom |
| keywords[1].id | https://openalex.org/keywords/radius |
| keywords[1].score | 0.5258952975273132 |
| keywords[1].display_name | RADIUS |
| keywords[2].id | https://openalex.org/keywords/physics |
| keywords[2].score | 0.49920105934143066 |
| keywords[2].display_name | Physics |
| keywords[3].id | https://openalex.org/keywords/optics |
| keywords[3].score | 0.4795948565006256 |
| keywords[3].display_name | Optics |
| keywords[4].id | https://openalex.org/keywords/dimension |
| keywords[4].score | 0.465350478887558 |
| keywords[4].display_name | Dimension (graph theory) |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.4497032165527344 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/microwave-imaging |
| keywords[6].score | 0.4475642740726471 |
| keywords[6].display_name | Microwave imaging |
| keywords[7].id | https://openalex.org/keywords/azimuth |
| keywords[7].score | 0.4444788098335266 |
| keywords[7].display_name | Azimuth |
| keywords[8].id | https://openalex.org/keywords/microwave |
| keywords[8].score | 0.37718507647514343 |
| keywords[8].display_name | Microwave |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.2207432985305786 |
| keywords[9].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1109/piers53385.2021.9695090 |
| locations[0].is_oa | False |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | 2021 Photonics & Electromagnetics Research Symposium (PIERS) |
| locations[0].landing_page_url | https://doi.org/10.1109/piers53385.2021.9695090 |
| locations[1].id | pmh:oai:openresearch.lsbu.ac.uk:91y87 |
| locations[1].is_oa | True |
| locations[1].source | |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | conference-paper |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.1109/PIERS53385.2021.9695090 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5074886168 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0029-4072 |
| authorships[0].author.display_name | Bilal Khalid |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I28257850 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Engineering, London South Bank University, London, UK |
| authorships[0].institutions[0].id | https://openalex.org/I28257850 |
| authorships[0].institutions[0].ror | https://ror.org/02vwnat91 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I28257850 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | London South Bank University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | B. Khalid |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Engineering, London South Bank University, London, UK |
| authorships[1].author.id | https://openalex.org/A5091657629 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-0727-5288 |
| authorships[1].author.display_name | Banafsheh Khalesi |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].raw_affiliation_string | Umbria Bioengineering Technologies, Perugia, Italy |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I4210093221 |
| authorships[1].affiliations[1].raw_affiliation_string | UBT UK Division, London, UK |
| authorships[1].affiliations[2].institution_ids | https://openalex.org/I28257850 |
| authorships[1].affiliations[2].raw_affiliation_string | School of Engineering, London South Bank University, London, UK |
| authorships[1].institutions[0].id | https://openalex.org/I28257850 |
| authorships[1].institutions[0].ror | https://ror.org/02vwnat91 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I28257850 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | London South Bank University |
| authorships[1].institutions[1].id | https://openalex.org/I4210093221 |
| authorships[1].institutions[1].ror | https://ror.org/00k859c30 |
| authorships[1].institutions[1].type | company |
| authorships[1].institutions[1].lineage | https://openalex.org/I4210093221 |
| authorships[1].institutions[1].country_code | GB |
| authorships[1].institutions[1].display_name | United Biscuits (United Kingdom) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | B. Khalesi |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Engineering, London South Bank University, London, UK, UBT UK Division, London, UK, Umbria Bioengineering Technologies, Perugia, Italy |
| authorships[2].author.id | https://openalex.org/A5074261554 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5102-0760 |
| authorships[2].author.display_name | Navid Ghavami |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].raw_affiliation_string | Umbria Bioengineering Technologies, Perugia, Italy |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I4210093221 |
| authorships[2].affiliations[1].raw_affiliation_string | UBT UK Division, London, UK |
| authorships[2].institutions[0].id | https://openalex.org/I4210093221 |
| authorships[2].institutions[0].ror | https://ror.org/00k859c30 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210093221 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | United Biscuits (United Kingdom) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | N. Ghavami |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | UBT UK Division, London, UK, Umbria Bioengineering Technologies, Perugia, Italy |
| authorships[3].author.id | https://openalex.org/A5072722978 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6431-5357 |
| authorships[3].author.display_name | Sandra Dudley |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I28257850 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Engineering, London South Bank University, London, UK |
| authorships[3].institutions[0].id | https://openalex.org/I28257850 |
| authorships[3].institutions[0].ror | https://ror.org/02vwnat91 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I28257850 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | London South Bank University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | S. Dudley |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Engineering, London South Bank University, London, UK |
| authorships[4].author.id | https://openalex.org/A5036869966 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-8887-5052 |
| authorships[4].author.display_name | Mohammad Ghavami |
| authorships[4].countries | GB |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I28257850 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Engineering, London South Bank University, London, UK |
| authorships[4].institutions[0].id | https://openalex.org/I28257850 |
| authorships[4].institutions[0].ror | https://ror.org/02vwnat91 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I28257850 |
| authorships[4].institutions[0].country_code | GB |
| authorships[4].institutions[0].display_name | London South Bank University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | M. Ghavami |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | School of Engineering, London South Bank University, London, UK |
| authorships[5].author.id | https://openalex.org/A5029583692 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-8787-1295 |
| authorships[5].author.display_name | Gianluigi Tiberi |
| authorships[5].countries | GB |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I28257850 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Engineering, London South Bank University, London, UK |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I4210093221 |
| authorships[5].affiliations[1].raw_affiliation_string | UBT UK Division, London, UK |
| authorships[5].affiliations[2].raw_affiliation_string | Umbria Bioengineering Technologies, Perugia, Italy |
| authorships[5].institutions[0].id | https://openalex.org/I28257850 |
| authorships[5].institutions[0].ror | https://ror.org/02vwnat91 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I28257850 |
| authorships[5].institutions[0].country_code | GB |
| authorships[5].institutions[0].display_name | London South Bank University |
| authorships[5].institutions[1].id | https://openalex.org/I4210093221 |
| authorships[5].institutions[1].ror | https://ror.org/00k859c30 |
| authorships[5].institutions[1].type | company |
| authorships[5].institutions[1].lineage | https://openalex.org/I4210093221 |
| authorships[5].institutions[1].country_code | GB |
| authorships[5].institutions[1].display_name | United Biscuits (United Kingdom) |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | G. Tiberi |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Engineering, London South Bank University, London, UK, UBT UK Division, London, UK, Umbria Bioengineering Technologies, Perugia, Italy |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1109/PIERS53385.2021.9695090 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11739 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Microwave Imaging and Scattering Analysis |
| related_works | https://openalex.org/W3006474185, https://openalex.org/W2483195039, https://openalex.org/W2611761074, https://openalex.org/W2048211457, https://openalex.org/W2281797687, https://openalex.org/W2358411735, https://openalex.org/W2107024632, https://openalex.org/W2152038938, https://openalex.org/W4321016390, https://openalex.org/W2079569137 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:openresearch.lsbu.ac.uk:91y87 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | conference-paper |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1109/PIERS53385.2021.9695090 |
| primary_location.id | doi:10.1109/piers53385.2021.9695090 |
| primary_location.is_oa | False |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | 2021 Photonics & Electromagnetics Research Symposium (PIERS) |
| primary_location.landing_page_url | https://doi.org/10.1109/piers53385.2021.9695090 |
| publication_date | 2021-11-21 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3096896180, https://openalex.org/W2967882526, https://openalex.org/W2584563832, https://openalex.org/W2489287816, https://openalex.org/W3088438846, https://openalex.org/W2944143309, https://openalex.org/W3021145726, https://openalex.org/W1973147489, https://openalex.org/W2993050794, https://openalex.org/W2805698332 |
| referenced_works_count | 10 |
| abstract_inverted_index.5 | 144 |
| abstract_inverted_index.a | 21, 28, 43, 74, 82, 86, 93, 99, 102, 115, 120, 141, 162 |
| abstract_inverted_index.13 | 110 |
| abstract_inverted_index.15 | 175 |
| abstract_inverted_index.3D | 22, 116, 182 |
| abstract_inverted_index.80 | 177 |
| abstract_inverted_index.In | 198 |
| abstract_inverted_index.an | 222 |
| abstract_inverted_index.as | 128 |
| abstract_inverted_index.at | 92, 150, 195 |
| abstract_inverted_index.by | 68 |
| abstract_inverted_index.cm | 106, 111 |
| abstract_inverted_index.in | 73, 134, 145, 161, 210, 225 |
| abstract_inverted_index.is | 6, 112, 126, 179 |
| abstract_inverted_index.of | 3, 104, 109, 137, 143, 165, 191, 205, 214, 228 |
| abstract_inverted_index.to | 7, 42 |
| abstract_inverted_index.we | 79, 201 |
| abstract_inverted_index.× | 174, 176 |
| abstract_inverted_index.5.5 | 105 |
| abstract_inverted_index.GHz | 95 |
| abstract_inverted_index.S21 | 72, 178 |
| abstract_inverted_index.The | 0, 53, 130, 172 |
| abstract_inverted_index.aim | 2 |
| abstract_inverted_index.all | 59 |
| abstract_inverted_index.and | 11, 31, 40, 107, 114, 157 |
| abstract_inverted_index.are | 35, 66, 155 |
| abstract_inverted_index.can | 56 |
| abstract_inverted_index.cm) | 125 |
| abstract_inverted_index.for | 19 |
| abstract_inverted_index.hub | 30 |
| abstract_inverted_index.our | 185 |
| abstract_inverted_index.the | 14, 37, 61, 70, 135, 138, 153, 166, 189, 192, 206, 211 |
| abstract_inverted_index.two | 32, 54 |
| abstract_inverted_index.via | 89, 169 |
| abstract_inverted_index.< | 229 |
| abstract_inverted_index.(HP) | 17 |
| abstract_inverted_index.1.75 | 124 |
| abstract_inverted_index.IN). | 52 |
| abstract_inverted_index.data | 159 |
| abstract_inverted_index.have | 80, 140 |
| abstract_inverted_index.main | 1 |
| abstract_inverted_index.more | 199 |
| abstract_inverted_index.same | 38 |
| abstract_inverted_index.show | 188 |
| abstract_inverted_index.that | 203 |
| abstract_inverted_index.this | 4, 77 |
| abstract_inverted_index.used | 127, 133 |
| abstract_inverted_index.with | 119, 221 |
| abstract_inverted_index.Next, | 148 |
| abstract_inverted_index.along | 152 |
| abstract_inverted_index.error | 224 |
| abstract_inverted_index.flask | 118 |
| abstract_inverted_index.paper | 5 |
| abstract_inverted_index.using | 85 |
| abstract_inverted_index.which | 34 |
| abstract_inverted_index.10%.\n | 230 |
| abstract_inverted_index.2-port | 44 |
| abstract_inverted_index.C1209, | 49 |
| abstract_inverted_index.around | 60 |
| abstract_inverted_index.bottom | 122 |
| abstract_inverted_index.device | 26 |
| abstract_inverted_index.extend | 13 |
| abstract_inverted_index.height | 39, 108 |
| abstract_inverted_index.object | 62 |
| abstract_inverted_index.paper, | 78 |
| abstract_inverted_index.planes | 151, 213 |
| abstract_inverted_index.radius | 103 |
| abstract_inverted_index.range. | 97 |
| abstract_inverted_index.rotate | 57 |
| abstract_inverted_index.to\nbe | 63 |
| abstract_inverted_index.varies | 209 |
| abstract_inverted_index.vector | 45 |
| abstract_inverted_index.z-axis | 154 |
| abstract_inverted_index.(Cobalt | 48 |
| abstract_inverted_index.(radius | 123 |
| abstract_inverted_index.1–6.5 | 94 |
| abstract_inverted_index.Huygens | 15 |
| abstract_inverted_index.average | 223 |
| abstract_inverted_index.clearly | 187 |
| abstract_inverted_index.complex | 71 |
| abstract_inverted_index.detail, | 200 |
| abstract_inverted_index.imaged. | 64 |
| abstract_inverted_index.imaging | 23, 183 |
| abstract_inverted_index.network | 46 |
| abstract_inverted_index.phantom | 139 |
| abstract_inverted_index.planes. | 197 |
| abstract_inverted_index.results | 186 |
| abstract_inverted_index.to\nthe | 217 |
| abstract_inverted_index.upgrade | 8 |
| abstract_inverted_index.version | 164 |
| abstract_inverted_index.HP-based | 167 |
| abstract_inverted_index.achieved | 81 |
| abstract_inverted_index.allowing | 20, 181 |
| abstract_inverted_index.analyser | 47 |
| abstract_inverted_index.antennas | 55 |
| abstract_inverted_index.contains | 27 |
| abstract_inverted_index.contrast | 142 |
| abstract_inverted_index.detected | 193, 207 |
| abstract_inverted_index.mixtures | 132 |
| abstract_inverted_index.modified | 163 |
| abstract_inverted_index.multiple | 196 |
| abstract_inverted_index.theorem. | 171 |
| abstract_inverted_index.verified | 202 |
| abstract_inverted_index.MammoWave | 9, 25, 90 |
| abstract_inverted_index.Principle | 16 |
| abstract_inverted_index.algorithm | 18, 168 |
| abstract_inverted_index.antennas, | 33 |
| abstract_inverted_index.are\nused | 160 |
| abstract_inverted_index.connected | 41 |
| abstract_inverted_index.different | 212 |
| abstract_inverted_index.dimension | 226 |
| abstract_inverted_index.frequency | 96 |
| abstract_inverted_index.inclusion | 194, 208, 219 |
| abstract_inverted_index.operating | 91 |
| abstract_inverted_index.performed | 67, 156 |
| abstract_inverted_index.processed | 180 |
| abstract_inverted_index.recording | 69 |
| abstract_inverted_index.spherical | 121, 218 |
| abstract_inverted_index.complex\n6 | 173 |
| abstract_inverted_index.dielectric | 146 |
| abstract_inverted_index.inclusion. | 129 |
| abstract_inverted_index.possessing | 101 |
| abstract_inverted_index.accordingly | 216 |
| abstract_inverted_index.acquisition | 10 |
| abstract_inverted_index.azimuthally | 58 |
| abstract_inverted_index.constructed | 113 |
| abstract_inverted_index.cylindrical | 29 |
| abstract_inverted_index.multi-quote | 87, 158 |
| abstract_inverted_index.preparation | 136 |
| abstract_inverted_index.properties. | 147 |
| abstract_inverted_index.Measurements | 65 |
| abstract_inverted_index.fashion.\nIn | 76 |
| abstract_inverted_index.measurements | 149 |
| abstract_inverted_index.Indianapolis, | 51 |
| abstract_inverted_index.Specifically, | 98 |
| abstract_inverted_index.appropriately | 12 |
| abstract_inverted_index.investigation | 84 |
| abstract_inverted_index.phantom-based | 83 |
| abstract_inverted_index.qualification | 227 |
| abstract_inverted_index.cross-section, | 220 |
| abstract_inverted_index.materials\nand | 131 |
| abstract_inverted_index.multi-bistatic | 75 |
| abstract_inverted_index.positioned\nat | 36 |
| abstract_inverted_index.the\ndimension | 204 |
| abstract_inverted_index.visualisation, | 215 |
| abstract_inverted_index.reconstruction; | 184 |
| abstract_inverted_index.superimposition | 170 |
| abstract_inverted_index.3D\nvisualisation | 190 |
| abstract_inverted_index.Copper\nMountain, | 50 |
| abstract_inverted_index.scanning\nprocedure | 88 |
| abstract_inverted_index.cylindrical\nphantom | 100 |
| abstract_inverted_index.reconstruction.\nThe | 24 |
| abstract_inverted_index.structured\nvolumetric | 117 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.52236928 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |