PMID- 38203056
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 24
IP  - 1
DP  - 2023 Dec 28
TI  - A Novel Analysis of Super-Resolution for Born-Iterative-Type Algorithms in 
      Microwave Medical Sensing and Imaging.
LID - 10.3390/s24010194 [doi]
LID - 194
AB  - Microwave medical sensing and imaging (MMSI) is a highly active research field. 
      In MMSI, electromagnetic inverse scattering (EIS) is a commonly used technique 
      that infers the internal characteristics of the diseased area by measuring the 
      scattered field. It is worth noting that the image formed by EIS often exhibits 
      the super-resolution phenomenon, which has attracted much research interest over 
      the past decade. A classical perspective is that multiple scattering leads to 
      super-resolution, but this is subject to debate. This paper aims to analyze the 
      super-resolution behavior for Born-iterative-type algorithms for the following 
      three aspects. Firstly, the resolution defined by the traditional Rayleigh 
      criterion can only be applied to point scatterers. It does not suit general 
      scatterers. By using the Sparrow criterion and the generalized spread function, 
      the super-resolution condition can be derived for general scatterers even under 
      the Born approximation (BA) condition. Secondly, an iterative algorithm results 
      in larger coefficients in the high-frequency regime of the optical transfer 
      function compared to non-iterative BA. Due to the anti-apodization effect, the 
      spread function of the iterative method becomes steeper, which leads to a better 
      resolution following the definition of the Sparrow criterion mentioned above. 
      Thirdly, the solution from the previous iteration, as the prior knowledge for the 
      next iteration, will cause changes in the total field, which provides additional 
      information outside the Ewald sphere and thereby gives rise to super-resolution. 
      Comprehensive numerical examples are used to verify these viewpoints.
FAU - Ding, Yahui
AU  - Ding Y
AUID- ORCID: 0000-0002-6988-2393
AD  - School of Electronic Science and Engineering, University of Electronic Science 
      and Technology of China, Chengdu 611731, China.
FAU - Gong, Zheng
AU  - Gong Z
AD  - Yangtze Delta Region Institute (Quzhou), University of Electronic Science and 
      Technology of China, Quzhou 324003, China.
FAU - Zhang, Hui
AU  - Zhang H
AD  - School of Life Sciences and Technology, University of Electronic Science and 
      Technology of China, Chengdu 611731, China.
FAU - Chen, Yifan
AU  - Chen Y
AD  - School of Life Sciences and Technology, University of Electronic Science and 
      Technology of China, Chengdu 611731, China.
FAU - Hu, Jun
AU  - Hu J
AD  - School of Electronic Science and Engineering, University of Electronic Science 
      and Technology of China, Chengdu 611731, China.
FAU - Chen, Yongpin
AU  - Chen Y
AD  - School of Electronic Science and Engineering, University of Electronic Science 
      and Technology of China, Chengdu 611731, China.
LA  - eng
PT  - Journal Article
DEP - 20231228
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC10781325
OTO - NOTNLM
OT  - Born iterative methods
OT  - Sparrow criterion
OT  - anti-apodization
OT  - electromagnetic inverse scattering
OT  - super-resolution
COIS- The authors declare no conflict of interest.
EDAT- 2024/01/11 07:43
MHDA- 2024/01/11 07:44
PMCR- 2023/12/28
CRDT- 2024/01/11 01:15
PHST- 2023/11/30 00:00 [received]
PHST- 2023/12/21 00:00 [revised]
PHST- 2023/12/27 00:00 [accepted]
PHST- 2024/01/11 07:44 [medline]
PHST- 2024/01/11 07:43 [pubmed]
PHST- 2024/01/11 01:15 [entrez]
PHST- 2023/12/28 00:00 [pmc-release]
AID - s24010194 [pii]
AID - sensors-24-00194 [pii]
AID - 10.3390/s24010194 [doi]
PST - epublish
SO  - Sensors (Basel). 2023 Dec 28;24(1):194. doi: 10.3390/s24010194.