Publications by authors named "Florian Sojka"
Article Synopsis
- Mandibular movement is influenced by individual variations in the temporomandibular joint (TMJ), necessitating a patient-centered approach in dental treatment that accounts for unique anatomy and condylar function.
- This study introduced an automatic tracking algorithm for monitoring mandibular movement using real-time magnetic resonance imaging (rt-MRI), finding it to be significantly faster and more accurate than traditional manual tracking techniques.
- Results indicated that the new least mean square registration (LMS) method was 76% quicker and had better alignment accuracy, suggesting it could enhance the objective assessment of TMJ function in clinical settings.
Background: Real-time magnetic resonance imaging (rtMRI) is essential for diagnosing and comprehending temporomandibular joint (TMJ) movements. Current methods for tracking and analysis require manual landmark placement on each acquisition frame. Therefore, our study aimed to assess the inter- and intra-rater reliability of placing cephalometric landmarks in frames from a dynamic real-time TMJ MRI.
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