Ultrasound image processing to estimate the structural and functional properties of mouse skeletal muscle.

Echogenicity Mouse skeletal muscle Quantitative muscle ultrasound imaging Shear wave elastography Texture analysis Ultrasound image processing

Journal

Biomedical signal processing and control
ISSN: 1746-8094
Titre abrégé: Biomed Signal Process Control
Pays: England
ID NLM: 101317299

Informations de publication

Date de publication:
Feb 2020
Historique:
entrez: 28 12 2020
pubmed: 29 12 2020
medline: 29 12 2020
Statut: ppublish

Résumé

Noninvasive imaging techniques are increasingly used for monitoring muscle behavior in mice. However, muscle is a complex tissue that exhibits different properties under passive and active conditions. In addition to structural properties, it is also important to analyze functional characteristics. At present, such information can be obtained with ultrasound elastography. However, this technique is poorly used for small rodent models (mice and gerbils). Thus, this study aims at establish referent hindlimb muscle data, and experimental guidelines, for wild-type (WT) control mice as well as the TIEG1 knockout (KO) mouse model that is known to exhibit skeletal muscle defects. Ultrasound was performed with the Aixplorer machine using a SLH 20-6 linear transducer probe (2.8 cm footprint). A region of interest (ROI) was placed around a superficial group of muscles. Subsequently, from the B-mode image, a classification of all the muscles and ultrasound biomarkers such as echo intensity and texture anisotropy have been determined. The influence of the gain setting (from 40% to 70%) was analyzed on these parameters. Moreover, the elasticity (E) was also measured within the ROI. This study provides a suitable methodology for collecting experimental data: 1) the correct range of gain (between 50% and 70%) to apply for the ultrasound measurement of muscle structure, 2) the structural and functional referent data for a group of healthy muscles, 3) the gray scale index, the texture anisotropy and the elasticity (ETIEG1 KO = 36.1 ± 10.3 kPa, E

Identifiants

pubmed: 33362876
doi: 10.1016/j.bspc.2019.101735
pmc: PMC7757085
mid: NIHMS1581091
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIDCR NIH HHS
ID : R01 DE014036
Pays : United States

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interests.

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Auteurs

Redouane Ternifi (R)

Sorbonne Universités, Université de Technologie de Compiègne, Biomechanics and Bioengineering Laboratory, UMR CNRS 7338, Compiègne, France.

Malek Kammoun (M)

Sorbonne Universités, Université de Technologie de Compiègne, Biomechanics and Bioengineering Laboratory, UMR CNRS 7338, Compiègne, France.

Philippe Pouletaut (P)

Sorbonne Universités, Université de Technologie de Compiègne, Biomechanics and Bioengineering Laboratory, UMR CNRS 7338, Compiègne, France.

Malayannan Subramaniam (M)

Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.

John R Hawse (JR)

Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.

Sabine F Bensamoun (SF)

Sorbonne Universités, Université de Technologie de Compiègne, Biomechanics and Bioengineering Laboratory, UMR CNRS 7338, Compiègne, France.

Classifications MeSH