A MATLAB toolbox for muscle diffusion-tensor MRI tractography
| Autor: | Zhaohua Ding, Crystal L. Coolbaugh, Xingyu Zhou, Melissa T. Hooijmans, Mark George, Bennett A. Landman, Adam W. Anderson, Bruce M. Damon |
|---|---|
| Přispěvatelé: | Radiology and Nuclear Medicine, AMS - Ageing & Vitality, AMS - Sports |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
0206 medical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Biomedical Engineering Biophysics Image registration Skeletal muscle 02 engineering and technology computer.software_genre Article 03 medical and health sciences 0302 clinical medicine Software Architectural pattern Magnetic resonance imaging Image Processing Computer-Assisted Humans Orthopedics and Sports Medicine Muscle Skeletal ComputingMethodologies_COMPUTERGRAPHICS Graphical user interface Data processing business.industry Rehabilitation 020601 biomedical engineering Toolbox Diffusion Tensor Imaging Data mining Open research business computer 030217 neurology & neurosurgery Diffusion MRI Tractography |
| Zdroj: | Journal of biomechanics, 124:110540. Elsevier Limited J Biomech |
| ISSN: | 0021-9290 |
| Popis: | Diffusion-tensor MRI fiber tractography has been used to reconstruct skeletal muscle architecture, but remains a specialized technique using custom-written data processing routines. In this work, we describe the public release of a software toolbox having the following design objectives: accomplish the pre-processing tasks of file input, image registration, denoising, and diffusion-tensor calculation; allow muscle-specific methods for defining seed points; make fiber-tract architectural measurements referenced to tendinous structures; visualize fiber tracts and other muscle structures of interest; analyze the goodness of outcomes; and provide a programming structure that allows the addition of new capabilities in future versions. The proper function of the code was verified using simulated datasets. The toolbox capabilities for characterizing human muscle structure in vivo were demonstrated in a case study. These capabilities included measurements of muscle morphology; contractile and non-contractile tissue volumes; fiber-tract length, pennation angle, curvature; and the physiological cross-sectional area,. The free public release of this software is a first step in creating of a community of users who use these tools in studies of muscle physiology and biomechanics. Users may further contribute to code development. Along with simulated and actual datasets for benchmarking, these tools will further create mechanisms for enhancing scientific rigor and developing and validating new code features. Planned future developments include additional options for image pre-processing, development of a graphical user interface, analysis of architectural patterns during muscle contraction, and integration of functional imaging data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect