Evidence map›Paper›PMID 35762849›Full record

ArticleMagnetic resonance in medicine2022

Improving in situ acoustic intensity estimates using MR acoustic radiation force imaging in combination with multifrequency MR elastography.

Ningrui Li, Pooja Gaur, Kristin Quah, Kim Butts Pauly

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI).Journal of magnetic resonance imaging : JMRI · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Ningrui LiDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0001-6724-4884
Pooja GaurDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-0433-975X
Kristin QuahDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0001-9844-1194
Kim Butts PaulyDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-6281-2771

Funding

STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
The Impact of FUS-Mediated Brain Cancer Therapy on BBB Transport, Cytokines, and Immunocyte TraffickingR01CA227687 · NCI · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2018 to 2022
$3.1M
Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
NCI NIH HHS R01 CA227687NCI NIH HHS T32 CA009695NIBIB NIH HHS T32 EB009653NIH HHS R01 CA227687NIH HHS T32 EB009653
6 · The paper itself

Abstract

purposeMagnetic resonance acoustic radiation force imaging (MR-ARFI) enables focal spot localization during nonablative transcranial ultrasound therapies. As the acoustic radiation force is proportional to the applied acoustic intensity, measured MR-ARFI displacements could potentially be used to estimate the acoustic intensity at the target. However, variable brain stiffness is an obstacle. The goal of this study was to develop and assess a method to accurately estimate the acoustic intensity at the focus using MR-ARFI displacements in combination with viscoelastic properties obtained with multifrequency MR elastography (MRE).

methodsPhantoms with a range of viscoelastic properties were fabricated, and MR-ARFI displacements were acquired within each phantom using multiple acoustic intensities. Voigt model parameters were estimated for each phantom based on storage and loss moduli measured using multifrequency MRE, and these were used to predict the relationship between acoustic intensity and measured displacement.

resultsUsing assumed viscoelastic properties, MR-ARFI displacements alone could not accurately estimate acoustic intensity across phantoms. For example, acoustic intensities were underestimated in phantoms stiffer than the assumed stiffness and overestimated in phantoms softer than the assumed stiffness. This error was greatly reduced using individualized viscoelasticity measurements obtained from MRE.

conclusionWe demonstrated that viscoelasticity information from MRE could be used in combination with MR-ARFI displacements to obtain more accurate estimates of acoustic intensity. Additionally, Voigt model viscosity parameters were found to be predictive of the relaxation rate of each phantom's time-varying displacement response, which could be used to optimize patient-specific MR-ARFI pulse sequences.

Indexed as

Elasticity Imaging TechniquesAcousticsBrainHumansMagnetic Resonance ImagingPhantoms, Imagingacoustic radiation force imagingelastographyMR-ARFIMRgFUStranscranial focused ultrasound

Identifiers

PMID35762849
PMCPMC9439407

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Registered trials

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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.