Comparative evaluation of image registration techniques in functional ultrasound imaging.

Shan Zhong, Kofi Agyeman, Shanze Syed, Richard Tobing, Wooseong Choi, Charles Liu, Darrin Lee, Vassilios Christopoulos

Abstract read

In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 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.

Premotor cortex hemodynamic responses primarily reflect perceptual rather than specific motor aspects of decision making.PLoS biology · 2026
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

8 authors.

Shan ZhongAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.

Kofi AgyemanNeuroscience Graduate Program, University of California Riverside, Riverside, CA, United States.

Shanze SyedDepartment of Bioengineering, University of California Riverside, Riverside, CA, United States.

Richard TobingDepartment of Computer Science and Engineering, University of California Riverside, Riverside, CA, United States.

Wooseong ChoiDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Charles LiuAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.

Darrin LeeAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.

Vassilios ChristopoulosAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-0541-8700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional ultrasound imaging (fUSI) is an emerging hemodynamic-based neuroimaging technique that combines high spatiotemporal resolution and sensitivity with extensive brain coverage, enabling a wide range of applications in preclinical brain research. Based on power Doppler imaging, fUSI measures changes in cerebral blood volume by detecting the back-scattered echoes from red blood cells moving within its field of view. Despite the significant contribution of fUSI technology to neuroscience research, its full potential is partly constrained by the challenge of accurately co-registering power Doppler vascular maps acquired across different sessions and/or animals to a single reference: an approach that could widen the scope of experimental paradigms and enable the utilization of advanced data analysis tools. This study aims to address this critical limitation by comparing eight image registration techniques to align 2D sagittal whole-brain fUSI datasets acquired from 82 anesthetized mice. The results showed a significant improvement in the alignment of fUSI images across all techniques. However, the non-rigid registration methods demonstrated either similar or superior performance in similarity metrics compared to rigid approaches, with the non-rigid version of

Indexed as

functional ultrasound imagingimage registrationmouse neuroimagingnon-rigid transformationrigid transformation

Identifiers

PMID40800915

DOI10.1162/IMAG.a.47

PMCPMC12319969

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.