Evidence map›Paper›PMID 31131336›Full record

ArticleIEEE journal of electromagnetics, RF and microwaves in medicine and biology2019

Application of Two-Dimensional Discrete Dipole Approximation in Simulating Electric Field of a Microwave Breast Imaging System.

Samar Hosseinzadegan, Andreas Fhager, Mikael Persson, Paul M Meaney

Abstract read
In one paragraph

Article in IEEE journal of electromagnetics, RF and microwaves in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Discrete Dipole Approximation-Based Microwave Tomography for Fast Breast Cancer Imaging.IEEE transactions on microwave theory and techniques · 2021
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samar HosseinzadeganDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Andreas FhagerDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Mikael PerssonDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Paul M MeaneyThayer School of Engineering at Dartmouth College, Hanover, NH 03755 USA and the Chalmers University of Technology, Gothenburg, Sweden.

Funding

Microwave Imaging for Neoadjuvant Chemotherapy MonitoringR01CA191227 · NCI · DARTMOUTH COLLEGE · PI MEANEY, PAUL M · 2015 to 2019
$3.6M
NCI NIH HHS R01 CA191227
6 · The paper itself

Abstract

The two-dimensional electric field distribution of the microwave imaging system is numerically simulated for a simplified breast tumour model. The proposed two-dimensional discrete dipole approximation (DDA) has the potential to improve computational speed compared to other numerical methods while retaining comparable accuracy. We have modeled the field distributions in COMSOL Multiphysics as baseline results to benchmark the DDA simulations. We have also investigated the adequate sampling size and the effect of inclusion size and property contrast on solution accuracy. In this way, we can utilize the 2D DDA as an alternative, fast and reliable forward solver for microwave tomography. From a mathematical perspective, the derivation of the 2D DDA and its application to microwave imaging is new and not previously implemented. The simulation results and the measurements show that the 2D DDA is a well-grounded forward solver for the specified microwave breast imaging system.

Indexed as

Computational electromagneticsdiscrete dipole approximationforward solversmicrowave imagingtomography

Identifiers

PMID31131336
PMCPMC6530794

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.