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DOI 10.1016/j.xinn.2026.101317

Медицинская библиотека · Innovation (Cambridge (Mass.)) · 2026

Fast high-resolution dental MRI using a disposable wireless intraoral coil: From concept to reality.

Xiao Enhua, Hayat Shahzeb, He Peiyu, Li Nan, Mo Zhiguang, Liao Wenhao, Du Feng, Cui Zhuoxu, Liang Dong, Zhang Xiaoliang, Chen Qiaoyan, Li Ye

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Аннотация

Fast high-resolution dental MRI remains challenging due to the low signal-to-noise ratio (SNR) in small-volume tissues and the reliance on unwieldy, clinically impractical signal detection devices. In this study, we present a fast high-resolution dental MRI framework that achieved superior soft tissue visualization in a resolution of 0.30 × 0.30 × 1.5 mm3 within 68 s. Central to this framework was a novel wireless braced intraoral coil (WBIC), which demonstrated up to 5.83-fold improvements in SNR in combination with a 48-channel head coil compared with the only head coil. In the in vivo studies, deep learning-assisted reconstruction methods integrated with the WBIC significantly accelerated the imaging process. Imaging with 0.30 × 0.30 × 1.5 mm3 resolution enabled clear visualization of periodontal membranes with anatomical thicknesses ranging from 0.15 to 0.38 mm, as well as gingival microstructures down to 200 μm. Compared with cone-beam computed tomography and the conventional dental MRI, the fast high-resolution dental MRI framework provided significantly enhanced visualization of both hard and soft tissue structures, particularly for gingival and other soft tissue regions. It also enabled comprehensive full-arch imaging of both single- and multi-rooted teeth in the maxilla and mandible, promising a step toward clinically practical, radiation-free dental MRI.

Для цитирования: Xiao Enhua, Hayat Shahzeb, He Peiyu, Li Nan, Mo Zhiguang, Liao Wenhao, Du Feng, Cui Zhuoxu, Liang Dong, Zhang Xiaoliang, Chen Qiaoyan, Li Ye. Fast high-resolution dental MRI using a disposable wireless intraoral coil: From concept to reality.. Innovation (Cambridge (Mass.)). 2026. DOI: 10.1016/j.xinn.2026.101317.
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