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An Examination of Temporomandibular Joint Disc Displacement through Magnetic Resonance Imaging by Integrating Artificial Intelligence: Preliminary Findings
被引:0
|作者:
Almasan, Oana
[1
]
Muresanu, Sorana
[2
]
Hedesiu, Petra
[3
]
Cotor, Andrei
[4
]
Baciut, Mihaela
[2
]
Roman, Raluca
[2
]
机构:
[1] Iuliu Hatieganu Univ Med & Pharm, Dept Prosthet Dent & Dent Mat, Cluj Napoca 400006, Romania
[2] Iuliu Hatieganu Univ Med & Pharm, Dept Maxillofacial Surg & Implantol, 37 Iuliu Hossu St, Cluj Napoca 400029, Romania
[3] Emil Racovi?a Coll, 9-11 Mihail Kogalniceanu, Cluj Napoca 400084, Romania
[4] Babes Bolyai Univ, Comp Sci Dept, 1 Mihail Kogalniceanu, Cluj Napoca 400084, Romania
来源:
关键词:
temporomandibular joint;
disc displacement;
artificial intelligence;
deep learning;
magnetic resonance imaging;
RECOMMENDATIONS;
D O I:
10.3390/medicina60091396
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Background and Objectives: This research was aimed at constructing a complete automated temporomandibular joint disc position identification system that could assist with magnetic resonance imaging disc displacement diagnosis on oblique sagittal and oblique coronal images. Materials and Methods: The study included fifty subjects with magnetic resonance imaging scans of the temporomandibular joint. Oblique sagittal and coronal sections of the magnetic resonance imaging scans were analyzed. Investigations were performed on the right and left coronal images with a closed mouth, as well as right and left sagittal images with closed and open mouths. Three hundred sagittal and coronal images were employed to train the artificial intelligence algorithm. Results: The accuracy ratio of the completely computerized articular disc identification method was 81%. Conclusions: An automated and accurate evaluation of temporomandibular joint disc position was developed by using both oblique sagittal and oblique coronal magnetic resonance imaging images.
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