Evidence map›Paper›PMID 41899883›Full record

ArticleBioengineering (Basel, Switzerland)2026

Echo Intensity Correction Method for Ultrasound Computed Tomography in Musculoskeletal Imaging.

Junchao Zeng, Ding Lou, Qin Zhang, Hui Zhang, Hongyi Zhu, Xing Cheng, Tengfei Wang, Sanping Xu, Yan Ling, Mingyue Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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

10 authors.

Junchao ZengHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0009-0002-6951-8169
Ding LouMedical Equipment Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Qin ZhangRehabilitation Medicine Department, Jingmen Central Hospital, Jingmen 448001, China.
Hui ZhangMedical Ultrasound Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Advanced Bio-Medical Imaging Facility, Huazhong University of Science and Technology, Wuhan 430074, China.
Hongyi ZhuHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0009-0008-7489-4779
Xing ChengHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Tengfei WangDepartment of Biomedical Engineering, Chongqing Hospital Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Chongqing 401100, China.
Sanping XuHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Yan LingHealth Management Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Mingyue DingMedical Ultrasound Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Advanced Bio-Medical Imaging Facility, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0003-3933-1205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound computed tomography (USCT) has emerged as a promising tool for quantitative assessment of musculoskeletal (MSK) diseases. However, the accuracy of echo intensity-a key imaging biomarker-is often compromised by non-optimal imaging conditions, such as probe tilt and limb eccentricity. In this study, we propose a novel echo intensity correction method for USCT that quantitatively compensates for these two major sources of error. The method integrates finite element simulation and phantom experiments to establish correction functions for each influencing factor. These functions are then applied to USCT images from volunteers through automated parameter extraction and intensity adjustment. Validation on both phantom and in vivo data showed that the proposed method significantly improved the uniformity and diagnostic accuracy of echo intensity measurements, leading to a clear improvement in the diagnostic accuracy of MSK diseases. This method enhances the reliability of USCT-based quantitative diagnosis and holds strong potential for broader clinical adoption.

Indexed as

echo intensity correctionmusculoskeletal diseasesultrasound computed tomography

Identifiers

PMID41899883
PMCPMC13024510

What OpenQuestion holds

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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.