Dynamic 3D images fusion of the temporomandibular joints: A novel technique.

J Dent

College of Artificial Intelligence, Nankai University, Tianjin 300350, China; Central Laboratory, Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin 300041, China; Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin 300041, China; Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518081, China. Electronic address:

Published: November 2022

AI Article Synopsis

  • The study aimed to create a combined imaging procedure using CBCT, MRI, and optical tracking to analyze the movement of the temporomandibular joint (TMJ) for diagnosing temporomandibular disorders (TMD).
  • Researchers collected CBCT data and tracked a patient's jaw movements, then fused MRI scans with CBCT images to create a detailed dynamic 3D model of the TMJ during movement.
  • The results showed clear anatomical details in the fused images, allowing for a better understanding of the TMJ's motion and position, ultimately aiding clinicians in diagnosing and assessing complex TMD cases.

Article Abstract

Objectives: To demonstrate a procedure for fusing images from cone-beam computed tomography (CBCT), magnetic resonance imaging (MRI) and optical positioning tracking system to dynamically evaluate the relative motion of the temporomandibular joint (TMJ) for the diagnosis of temporomandibular disorders (TMD).

Methods: CBCT data was collected from a patient wearing a fixation device with markers in the intercuspal position. The patient's mandibular movements were recorded using an optical positioning tracking system. The CBCT data were imported into a virtual simulation system to reproduce the mandibular movement. Five jaw positions were selected for 3D printing of the occlusal plate that the patient wore to undergo MRI. MRI scans were registered with the CBCT image for fusion and reconstruction.

Results: The anatomical structures of the articular fossa, articular disc, and condyle were clearly displayed in the CBCT-MRI fused images. The spatial posture and relative position of the fossa-disc-condyle during mandibular movement could be reproduced dynamically using the 3D reconstruction model.

Conclusions: This method can visually display mandibular motion trajectories and the relative TMJ positions. Virtual reproduction provides a comprehensive understanding of the articular disc's morphology and position in different states from a 3D perspective.

Clinical Significance: This method can be used in clinical studies of TMJ as an adjunct to the 3D dynamic diagnosis and assessment for complex patients with TMD and provide relevant data for doctors.

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Source
http://dx.doi.org/10.1016/j.jdent.2022.104286DOI Listing

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