Evidence map›Paper›PMID 35964298›Full record

ArticleMedical physics2022

Motion-based microwave tomographic measurement device for three-dimensional coverage in a magnetic resonance system.

Paul M Meaney, Timothy Raynolds, Shireen D Geimer, David Ouma, Grace M Player, Xiaoyu Yang, Keith D Paulsen

Abstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Paul M MeaneyThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Timothy RaynoldsThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Shireen D GeimerThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
David OumaThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Grace M PlayerThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Xiaoyu YangQuality Electrodynamics, Mayfield, OH, USA.
Keith D PaulsenThayer School of Engineering, Dartmouth College, Hanover, NH, USA.

Funding

Simultaneous Microwave and MR Imaging for Improved Diagnosis of Breast AbnormalitiesR01CA240760 · NCI · DARTMOUTH COLLEGE · PI MEANEY, PAUL M, PAULSEN, KEITH D. · 2020 to 2024
$3.0M
NCI NIH HHS R01 CA240760
6 · The paper itself

Abstract

purposeWe have developed a fully 3D data acquisition system for microwave breast imaging which can operate simultaneously inside a magnetic resonance imaging (MRI). MRI is used regularly for breast imaging to distinguish tumors from normal tissue. It generally has poor specificity unless used with a gadolinium contrast agent. Microwave imaging could fill this need because of the good endogenous tumor:normal tissue property contrast, especially in light of safety concerns for gadolinium. The antenna array consists of 16 monopole antennas positioned in a horizontal circle surrounding the breast which can then be moved vertically for 3D coverage of the breast. The tank system materials were chosen to minimize artifacts in the MR image within the specific shared imaging zone. The support rods are stainless steel, albeit positioned sufficiently far from the imaging target to have little effect. The mechanical motion parts are all 3D printed plastic. Unlike many conventional antennas, the monopoles consist of just the center conductor and insulator of the coaxial cable, making it one of the least possible metallic structures.

methodsData were acquired both inside and outside of the MR bore to confirm that the MR bore did not have adverse effects on the microwave imaging process. The imaging tank was filled with a mixture of glycerin and water to both provide a reasonable property match to the phantom and to highly attenuate the fields which also acted to suppress multi-path signals. Microwave images were reconstructed using our Gauss-Newton scheme combined with a log transformation for a more linear convergence. MR images were also acquired to assess the effects of the microwave tank structures on the imaging.

resultsThe microwave measurement data were acquired in log magnitude and phase format at 200 MHz increments from 700-1900 MHz. Each antenna acted sequentially as a transmitter while the complement of 15 acted as a receiver. The single frequency images were reconstructed using a Gauss-Newton iterative technique with a standard log transformation to linearize the process. The data showed that the signal strengths were between 7-10 dB lower for the case when the array was inside the MRI versus when not. Notwithstanding, the image quality was still high because of the significant signal to noise ratio. The reconstructed images in both situations demonstrated good 3D object recovery of the vertically size and shaped varying object. The MR images were not adversely affected by the presence of antennas or feed structures.

conclusionsWe have demonstrated that our technique can recover high-quality images of a 3D varying object within an MRI system. Compatibility issues have been addressed for both the microwave and MRI systems. The reduced SNR for the case operating in the MRI did not adversely affect the images. To the best of our knowledge, this is the first example of a microwave imaging system operating in an MRI with full 3D volumetric capability.

Indexed as

Microwave ImagingGadoliniumImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMicrowavesPhantoms, ImagingGadoliniumbreast cancermagnetic resonance imagingmicrowave imagingmulti-modalityphantom experiments

Identifiers

PMID35964298
PMCPMC10753095

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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.