Evidence map›Paper›PMID 38984038›Full record

ArticleIEEE access : practical innovations, open solutions2023

Investigating Local Receive Arrays in tcMRgFUS System and Their Influence by Passive Antennas: A Simulation Study.

Ming Lu, Xinqiang Yan

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2023. 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. 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

2 authors.

Ming LuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.ORCID 0000-0003-2763-2561
Xinqiang YanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.ORCID 0000-0002-4232-3241

Funding

Passive antennas for improved image quality in transcranial MR-guided focused ultrasoundR21EB029639 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YAN, XINQIANG · 2020 to 2022
$675k
NIBIB NIH HHS R21 EB029639
6 · The paper itself

Abstract

Transcranial magnetic resonance-guided focused ultrasound (tcMRgFUS) revolutionizes non-invasive therapy by combining MRI and high-intensity focused ultrasound for precise thermal treatment. MRI scans play an essential role during tcMRgFUS treatment in that they are used to localize the target and monitor temperature. Using the body coil for MRI introduces imaging challenges, notably extremely low signal-to-noise ratio (SNR) and a distinct dark band in 3 Tesla brain images. This study explores the impact of diverse local receive coils on SNR and parallel imaging capabilities in tcMRgFUS. Simulation results underscore the significant SNR enhancement, especially with helmet-shaped coils, crucial for capturing signals from the head's top and sides. Additionally, the study delves into integrating passive antennas to address the dark band issue, revealing a combined improvement in SNR and transmit field recovery. The study demonstrates that even a coil array outside the water bath can enhance SNR. This work offers critical insights into optimizing the imaging quality, improving temperature mapping accuracy, and recovering the transmit field in tcMRgFUS technology, holding potential for refined treatment visualization, targeting precision, and real-time monitoring.

Indexed as

electromagnetic simulationsFocused ultrasoundinterventional MRIpassive antennaRF coils

Identifiers

PMID38984038
PMCPMC11233118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.