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

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

PMC · DOI: 10.3390/bioengineering13030352 · Bioengineering · 2026-03-18

## TL;DR

This paper introduces a new method to correct echo intensity in ultrasound computed tomography, improving the accuracy of musculoskeletal disease diagnosis.

## Contribution

A novel echo intensity correction method for USCT that compensates for probe tilt and limb eccentricity.

## Key findings

- The method improves echo intensity uniformity and diagnostic accuracy in phantom and in vivo data.
- Automated parameter extraction and intensity adjustment enhance the reliability of USCT-based diagnosis.
- The correction method shows strong potential for clinical adoption in musculoskeletal imaging.

## 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.

## Full-text entities

- **Diseases:** MSK diseases (MESH:D009140)

## Full text

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## Figures

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## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024510/full.md

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Source: https://tomesphere.com/paper/PMC13024510