Evidence map›Paper›PMID 41256730›Full record

ArticlebioRxiv : the preprint server for biology2025

Microbubble Backscattering Intensity Improves the Sensitivity of Three-dimensional (3D) Functional Ultrasound Localization Microscopy (fULM).

YiRang Shin, Qi You, Yike Wang, Matthew R Lowerison, Bing-Ze Lin, Pengfei Song

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

YiRang ShinDepartment of Biomedical Engineering, Duke University, Durham, NC 27519 USA.
Qi YouDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL 61820 USA.ORCID 0000-0002-2706-1394
Yike WangDepartment of Electrical and Computer Engineering and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61820 USA.ORCID 0009-0003-0113-6014
Matthew R LowerisonDepartment of Biomedical Engineering, Duke University, Durham, NC 27519 USA.
Bing-Ze LinDepartment of Electrical and Computer Engineering and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61820 USA.
Pengfei SongDepartment of Biomedical Engineering, Duke University, Durham, NC 27519 USA.ORCID 0000-0002-9103-6345

Funding

Next-Generation Ultrasound Localization MicroscopyR21EB030072 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SONG, PENGFEI · 2020 to 2022
$927k
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse modelR56NS131516 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2023 to 2023
$575k
NIBIB NIH HHS R21 EB030072NINDS NIH HHS R56 NS131516
6 · The paper itself

Abstract

Functional ultrasound localization microscopy (fULM) enables brain-wide mapping of neural activity at micron-scale resolution but suffers from limited sensitivity due to sparse and noisy microbubble (MB) detections. Extending fULM into three dimensions (3D) further exacerbates these challenges because of low-frequency matrix arrays, reduced localization efficiency, and severe data sparsity. To address these limitations, we developed a statistical framework that models MB arrivals in 3D as a Poisson process accounting for localization efficiency, detection probability, and backscattered amplitude. This analysis predicts that integrating amplitude with count-based fULM improves functional sensitivity, particularly under high MB concentrations where localization saturates. Three-dimensional MB advection simulations confirmed these predictions, showing that backscattering fULM (B-fULM) maintains sensitivity at higher MB concentrations where ' conventional fULM fails. In rat brain experiments, B-fULM yielded stronger and more robust stimulus-evoked responses, with SNR gains of 18% in the somatosensory cortex and 61% in the thalamus, while preserving super-resolved spatial detail (33.4 μm for B-fULM vs 35.7 μm for fULM). These results establish B-fULM as a practical and sensitive approach for super-resolved 3D functional neuroimaging.

Indexed as

backscattering intensityfunctional brain imagingthree-dimensionalultrasound localization microscopy

Identifiers

PMID41256730
PMCPMC12622109

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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.