Wavelet Guided 3D Deep Model to improve Dental Microfracture Detection.
Wavelet Guided 3D Deep Model to improve Dental Microfracture Detection.
复制标题
小波引导 3D 深度模型可改善牙科微骨折检测。
DOI：
10.1007/978-3-031-17721-7_16
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Paniagua,Beatriz
中科院分区：
文献类型：
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作者：
Sahu,Pranjal;Vicory,Jared;McCormick,Matt;Khan,Asma;Geha,Hassem;Paniagua,Beatriz
流行病学研究表明，微骨折（裂缝）是工业化国家牙齿脱落的第三大常见原因。一个未被发现的裂缝会继续发展，通常伴随着明显的疼痛，直到牙齿脱落。以前尝试利用锥形束计算机断层扫描（CBCT）检测牙齿裂纹的成功非常有限。我们提出了一个模型，通过将信号增强与基于深度CNN的裂纹检测模型相结合，在高分辨率（hr）CBCT扫描中检测裂纹牙齿。我们在45个离体人类牙齿的数据集上进行实验，其中31个破裂，14个对照。我们证明，将经典的基于小波的特征与深度3D CNN模型相结合的模型可以提高微型计算机断层扫描（地面实况）和hr-CBCT扫描中的骨折牙齿检测准确性。CNN模型经过训练，以预测显示最可能断裂区域的概率图。基于该断裂概率图，我们检测断裂的存在，并且能够区分断裂的牙齿和对照牙齿。我们将这些结果与基于2D CNN的方法进行比较，结果表明我们的方法提供了上级检测结果。我们还表明，所提出的解决方案是能够超越口腔颌面放射科医生在检测骨折的hr-CBCT扫描。早期发现裂纹将导致设计更合适的治疗和更长的牙齿保留。
Epidemiological studies indicate that microfractures (cracks) are the third most common cause of tooth loss in industrialized countries. An undetected crack will continue to progress, often with significant pain, until the tooth is lost. Previous attempts to utilize cone beam computed tomography (CBCT) for detecting cracks in teeth had very limited success. We propose a model that detects cracked teeth in high resolution (hr) CBCT scans by combining signal enhancement with a deep CNN-based crack detection model. We perform experiments on a dataset of 45 ex-vivo human teeth with 31 cracked and 14 controls. We demonstrate that a model that combines classical wavelet-based features with a deep 3D CNN model can improve fractured tooth detection accuracy in both micro-Computed Tomography (ground truth) and hr-CBCT scans. The CNN model is trained to predict a probability map showing the most likely fractured regions. Based on this fracture probability map we detect the presence of fracture and are able to differentiate a fractured tooth from a control tooth. We compare these results to a 2D CNN-based approach and we show that our approach provides superior detection results. We also show that the proposed solution is able to outperform oral and maxillofacial radiologists in detecting fractures from the hr-CBCT scans. Early detection of cracks will lead to the design of more appropriate treatments and longer tooth retention.