Detecting the articular disk in magnetic resonance images of the temporomandibular joint using YOLO series.

Journal: Dental materials journal
PMID:

Abstract

The purpose of this study was to construct an artificial intelligence object detection model to detect the articular disk from temporomandibular joint (TMJ) magnetic resonance (MR) images using YOLO series. The study included two experiments using datasets from different MR imaging machines. A total of 536 MR images were retrospectively examined. The performance of YOLOv5 and YOLOv8 in detecting the TMJ articular disk in both normal and displaced conditions was evaluated. The impact of image-processing techniques, such as histogram equalization (HE) and contrast-limited adaptive HE (CLAHE) on model performance, was also examined. The results showed that the YOLO series could detect the articular disk regardless of displacement, with superior performance on images of normal disk position. The results suggest the applicability of object detection models in improving the diagnosis of TMJ disorders.

Authors

  • Yuki Yoshimi
    Department of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Yuichi Mine
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Kohei Yamamoto
    Department of Medical Systems Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University.
  • Shota Okazaki
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Shota Ito
    Department of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Mizuho Sano
    Department of Medical Systems Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University.
  • Tzu-Yu Peng
    School of Dentistry, College of Dentistry, China Medical University, Taichung, 404, Taiwan.
  • Takashi Nakamoto
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, 734-8553, Japan.
  • Toshikazu Nagasaki
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, 734-8553, Japan.
  • Naoya Kakimoto
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Takeshi Murayama
    Department of Medical System Engineering, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Kotaro Tanimoto
    Department of Orthodontics and Craniofacial Developmental Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.