A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Measurement of cross-sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmentation is tedious and is thus restricted to research. Automated solutions are required for use in clinical practice.

Authors

  • Katia Charrière
    IMT Atlantique, Département ITI, Technopôle Brest-Iroise, CS 83818, Brest F-29200, France; Inserm, UMR 1101, 22 avenue Camille-Desmoulins, Brest F-29200, France.
  • Quentin Boulouard
    Public Health Department, Clinical Investigation Center-Technological, Innovation, INSERM CIC1406, CHU Grenoble Alpes, Université Grenoble Alpes, Grenoble, France.
  • Svetlana Artemova
    Public Health Department, Clinical Investigation Center-Technological, Innovation, INSERM CIC1406, CHU Grenoble Alpes, Université Grenoble Alpes, Grenoble, France.
  • Antoine Vilotitch
    CHU Grenoble Alpes, Cellule d'ingénierie des données, Grenoble, France.
  • Gilbert R Ferretti
    Pôle Imagerie, Centre Hospitalier Universitaire de Grenoble, La Tronche, France.
  • Jean-Luc Bosson
    Clinical Investigation Center, Grenoble University Hospital, Grenoble, France.
  • Alexandre Moreau-Gaudry
    Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, 38000, Grenoble, France.
  • Joris Giai
    Clinical Investigation Center, Grenoble University Hospital, Grenoble, France.
  • Eric Fontaine
    Department of Endocrinology, Diabetology and Nutrition, INSERM U1055, LBFA, CHU Grenoble Alpes, Université Grenoble Alpes, Grenoble, France.
  • Cécile Bétry
    Centre Intégré de l'Obésité Rhône-Alpes, Fédération Hospitalo-Universitaire DO-iT, Department of Endocrinology and Nutrition, Groupement Hospitalier Sud, Hospices Civils de Lyon, Lyon, France.