Volumetric segmentation of muscle compartments using in vivo imaging and architectural validation in human finger flexors

TL;DR

This study introduces a novel in vivo imaging-based method for volumetric segmentation of finger flexor muscle compartments, validated through architectural measurements and electromyography, enhancing understanding of muscle structure and function.

Contribution

The paper presents a new two-step segmentation approach combining ultrasound and MRI data, along with architectural validation, for finger muscle compartments.

Findings

High segmentation accuracy with 95% electromyogram centers within compartments

Significant architectural differences observed between compartments (P < 0.001)

Agreement between fiber orientation and cadaveric photographs

Abstract

Segmenting muscle compartments and measuring their architecture can facilitate movement function assessment, accurate musculoskeletal modeling, and synergy-based electromyogram simulation. Here, we presented a novel method for volumetric segmentation of muscle compartments using in vivo imaging, focusing on the independent compartments for finger control of flexor digitorum superficialis (FDS). Besides, we measured the architectural properties of FDS compartments and validated the segmentation. Specifically, ultrasound and magnetic resonance imaging (MRI) from 10 healthy subjects were used for segmentation and measurement, while electromyography was utilized for validation. A two-step piecewise segmentation was proposed, first annotating compartment regions in the cross-sectional ultrasound image based on compartment movement, and then performing minimum energy matching to register the ultrasound data to the three-dimensional MRI coordinate system. Additionally, the architectural properties were measured in the compartment masks from the segmentation using MRI tractography. Anatomical correctness was verified by comparing known anatomy with reconstructed fiber tracts and measured properties, while segmentation accuracy was quantified as the percentage of finger electromyogram centers falling within their corresponding compartments. Results demonstrated agreement for the fiber orientation between the tractography and cadaveric photographs. Significant differences in architectural properties (P < 0.001) were observed between compartments. The properties of FDS and its compartments were within the physiological ranges (P < 0.01). 95% (38/40) of the electromyogram centers were located within respective compartments, with 2 errors occurring in the index and little fingers. The validated segmentation method and derived architectural properties may advance biomedical applications.