Automatic Segmentation of Quadriceps Femoris Cross-Sectional Area in Ultrasound Images: Development and Validation of Convolutional Neural Networks in People With Anterior Cruciate Ligament Injury and Surgery.

Journal: Ultrasound in medicine & biology
PMID: 39581823

Abstract

OBJECTIVE: Deep learning approaches such as DeepACSA enable automated segmentation of muscle ultrasound cross-sectional area (CSA). Although they provide fast and accurate results, most are developed using data from healthy populations. The changes in muscle size and quality following anterior cruciate ligament (ACL) injury challenges the validity of these automated approaches in the ACL population. Quadriceps muscle CSA is an important outcome following ACL injury; therefore, our aim was to validate DeepACSA, a convolutional neural network (CNN) approach for ACL injury.

Authors

  • Beyza Tayfur
    School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Paul Ritsche
    Department of Sport, Exercise and Health, University of Basel, Basel, SWITZERLAND.
  • Olivia Sunderlik
    Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Madison Wheeler
    Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Eric Ramirez
    Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Jacob Leuteneker
    Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Oliver Faude
    Department of Sport, Exercise and Health, University of Basel, Basel, SWITZERLAND.
  • Martino V Franchi
  • Alexa K Johnson
    School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA.
  • Riann Palmieri-Smith
    School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Orthopedic Rehabilitation & Biomechanics (ORB) Laboratory, University of Michigan, Ann Arbor, MI, USA; Department of Orthopaedic Surgery, Michigan Medicine, Ann Arbor, MI, USA. Electronic address: riannp@umich.edu.

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