Evidence map›Paper›PMID 40993881›Full record

ArticleMedical physics2025

Transcranial ultrasound tomography for brain imaging: Ex vivo results and potential for stroke imaging.

Trevor Mitcham, Rehman Ali, Melanie Singh, Sarah McConnell, Redi Rahmani, Derrek Schartz, Matthew Bender, Edward Vates, Neb Duric

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Trevor MitchamDepartment of Imaging Sciences, University of Rochester, Rochester, New York, USA.
Rehman AliDepartment of Imaging Sciences, University of Rochester, Rochester, New York, USA.
Melanie SinghDepartment of Biomedical Engineering University of Rochester, Rochester, New York, USA.
Sarah McConnellDepartment of Neuroscience, University of Rochester, Rochester, New York, USA.
Redi RahmaniDepartment of Neurosurgery, University of Louisville, Louisville, Kentucky, USA.
Derrek SchartzDepartment of Imaging Sciences, University of Rochester, Rochester, New York, USA.
Matthew BenderDepartment of Neurosurgery, University of Rochester, Rochester, New York, USA.
Edward VatesDepartment of Neurosurgery, University of Rochester, Rochester, New York, USA.
Neb DuricDepartment of Imaging Sciences, University of Rochester, Rochester, New York, USA.

Funding

Advanced image reconstruction for accurate and high-resolution breast ultrasound tomographyR01EB028652 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, DURIC, NEBOJSA · 2019 to 2022
$2.2M
Accurate High-Resolution Tissue Characterization for Breast Cancer Screening Using Transmission and Reflection Ultrasound TomographyK99EB037080 · NIBIB · UNIVERSITY OF ROCHESTER · PI Rehman Ali · 2025 to 2026
$250k
Multiparametric Tissue Characterization for Breast Cancer Screening Using Transmission and Reflection Ultrasound TomographyF32EB034589 · NIBIB · UNIVERSITY OF ROCHESTER · PI ALI, REHMAN · 2023 to 2024
$143k
NIBIB NIH HHS F32 EB034589NIBIB NIH HHS K99 EB037080NIBIB NIH HHS R01 EB028652
6 · The paper itself

Abstract

backgroundStroke is a leading cause of death and disability in America and around the world. Due to the differences in underlying cause and clinical treatment between ischemic and hemorrhagic stroke, it is critical to perform imaging before administration of treatment. The current clinical standard is to image patients with computed tomography or magnetic resonance imaging, which creates a major delay in stroke treatment because paramedics have to transport patients to a major medical center before imaging can even begin. Therefore, there is an unmet need to provide imaging at the point of injury for stroke patients, so that therapeutic intervention can occur faster. PURPOSE: This work investigates the feasibility of using ultrasound tomography (UST) with full waveform inversion (FWI) image reconstruction as a point-of-injury tool to help provide faster stroke triage, using in silico, in vitro, and ex vivo imaging phantoms

methodsIn silico image data were simulated for three datasets, which each include skull, brain, and a unique hemorrhage. These data were reconstructed with two different frequency ranges; one (100-700 kHz) to simulate an ideal hardware setup, and the other (300-700 kHz) to represent the limitations of our current image acquisition system. Next, a replica skull was filled with a brain-mimicking gelatin phantom and three regions of blood to simulate hemorrhage prior to imaging and reconstruction to visualize the blood contrast in a realistic environment. Then, a preserved macaque brain was imaged both outside of and within the replica skull to demonstrate our ability to visualize anatomical landmarks and the effects generated by the skull. Finally, an intact human cadaveric brain was imaged to demonstrate our ability to resolve important anatomical landmarks in a relevant model.

resultsIn silico experiments show that UST is capable of imaging anatomical landmarks and hemorrhage pathologies through the skull, despite artifacts when starting FWI reconstruction at 300 kHz. The in vitro hemorrhage phantom also demonstrated that hemorrhages as small as 0.7 cm in diameter can be visualized through the replica skull using UST. Multiple features, such as the interhemispheric fissure, sylvian fissures, ventricles, and the brain stem could be visualized in the macaque brain when imaged in a water bath, and these features remained visible even when the brain was placed within the replica skull despite additional artifacts. Finally, the human brain was visualized with UST, showing high-resolution images with significant anatomical detail. Ultimately, the images presented in this work demonstrate the level of detail which can ultimately be achieved using this technique in the absence of the skull, which will guide future development.

conclusionThis work shows that UST imaging of the brain is feasible through a skull-mimicking phantom for a variety of targets. In silico, in vitro and ex vivo targets could all be visualized in sound speed images with a skull phantom present despite the presence of cycle skipping artifacts. Additionally, an intact human brain sample was imaged to demonstrate our current ability to visualize anatomical features, and therefore guide future development of this work.

Indexed as

BrainStrokeTomographyAnimalsFeasibility StudiesHumansImage Processing, Computer-AssistedPhantoms, ImagingUltrasonographyneuroimagingtranscranialultrasound tomography

Identifiers

PMID40993881
PMCPMC12882777

What Socratic holds

Textmetadata
LicenceTDM
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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 Socratic graph.