Evidence map›Paper›PMID 42732431›Full record

ArticleJournal of electrical bioimpedance2026

Ultrasound-guided structural fusion enhances the interpretability of electrical impedance tomography for layered tissue imaging.

Md Mainuddin Sagar, Israt Jahan Nipa, Kihan Park

Abstract read
In one paragraph

Article in Journal of electrical bioimpedance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Md Mainuddin SagarDept. of Mechanical Engineering, The Pennsylvania State University, 157 North Burrowes Road, University Park, PA 16802, USA.ORCID https://orcid.org/0009-0001-7831-2560
Israt Jahan NipaMedical College For Women and Hospital, VC52+87V, Plot No 4 Road-8/9, Sector-1, Uttara, Dhaka 1230, Bangladesh.ORCID https://orcid.org/0009-0008-4001-8615
Kihan ParkDept. of Mechanical Engineering, University of Massachusetts Dartmouth, 285 Old Westport Road, North Dartmouth, MA 02747, USA.ORCID https://orcid.org/0000-0002-4118-7911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical Impedance Tomography (EIT) provides low-cost functional impedance imaging, whereas ultrasound offers high-resolution morphological visualization. In this study, a hybrid Ultrasound-EIT (EIT-US) fusion framework is developed for soft-tissue characterization in layered ex vivo biological phantoms using controlled chicken tissue models. A custom EIT acquisition system recorded 208 boundary voltage measurements per acquisition across three tissue layers and multiple frequency-voltage conditions, with experiments repeated across three anatomical tissue configurations. Five FEM-based reconstruction methods-Back Projection (BP), Gauss-Newton (GN), Tikhonov regularization (TIK), GREIT, and a linearized EIDORS-like approach-were implemented within a stand-alone MATLAB framework. Ultrasound images acquired using a GE VScan Air CL probe (musculoskeletal mode) were integrated with EIT reconstructions through a multimodal fusion pipeline incorporating impedance imaging, ultrasound texture-echogenicity mapping, and statistical correlation analysis. Quantitative evaluation demonstrated consistent layer differentiation with moderate structural-electrical agreement (

Indexed as

Biological phantomElectrical impedance tomography (EIT)Image fusionMultimodal imagingSoft tissue characterizationSSIMUltrasound imaging

Identifiers

PMID42732431
PMCPMC13570662

What OpenQuestion holds

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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 OpenQuestion graph.