Evidence map›Paper›PMID 41661508›Full record

ArticleMedical & biological engineering & computing2026

Precise volume assessment for gastrocnemius muscles based on 3D ultrasound imaging.

Yunye Cai, Enxiang Shen, Weijing Zhang, Zhibin Jin, Jie Yuan

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Article in Medical & biological engineering & computing, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yunye CaiSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China.
Enxiang ShenSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China.
Weijing ZhangAffiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China.
Zhibin JinAffiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China.
Jie YuanSchool of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China. yuanjie@nju.edu.cn.ORCID http://orcid.org/0000-0003-0597-7657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate muscle volume measurement is crucial for evaluating muscle impairment in healthcare and sports medicine. Compared to traditional methods, 3D ultrasound imaging offers noninvasive, flexible, cost-effectiveness advantages. This study aims to develop a precise volume assessment method for skeletal muscle, specifically gastrocnemius muscle, based on 3D ultrasound imaging. A feasible practice integrating 3D freehand ultrasound imaging based on optical tracking, slice extraction and alpha-shape-based surface reconstruction was proposed for precise volume assessment. 2D ultrasound images with spatial positions were acquired. Target slices were extracted for segmentation, and the alpha‑shape algorithm reconstructed the 3D muscle mesh for volume calculation. Phantom experiment using a pork tenderloin validated our method with a relative deviation of 0.47% compared to water displacement method. Clinical validation against MRI yielded relative deviations of 0.66% to 5.06% for manual segmentation and 0.28% to 2.58% for automated segmentation (using TransUNet). The method achieved smooth, detailed surfaces and outperformed Marching Cubes and Poisson reconstruction in accuracy and morphological fidelity. The proposed 3D freehand ultrasound workflow enables precise, detailed muscle volume assessment, showing strong agreement with MRI. Its accessibility and accuracy suggest significant potential for clinical and sports medicine applications in monitoring muscle health.

Indexed as

Imaging, Three-DimensionalMuscle, SkeletalAlgorithmsAnimalsHumansMagnetic Resonance ImagingPhantoms, ImagingSwineUltrasonography3D ultrasound imagingGastrocnemius muscleMuscle volumeSkeletal muscleSlice extraction

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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.