Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

IF 10.8 1区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Yu Liu, Rui Xie, Lifeng Wang, Hongpeng Liu, Chen Liu, Yimin Zhao, Shizhu Bai, Wenyong Liu
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引用次数: 0

Abstract

Accurate segmentation of oral surgery-related tissues from cone beam computed tomography (CBCT) images can significantly accelerate treatment planning and improve surgical accuracy. In this paper, we propose a fully automated tissue segmentation system for dental implant surgery. Specifically, we propose an image preprocessing method based on data distribution histograms, which can adaptively process CBCT images with different parameters. Based on this, we use the bone segmentation network to obtain the segmentation results of alveolar bone, teeth, and maxillary sinus. We use the tooth and mandibular regions as the ROI regions of tooth segmentation and mandibular nerve tube segmentation to achieve the corresponding tasks. The tooth segmentation results can obtain the order information of the dentition. The corresponding experimental results show that our method can achieve higher segmentation accuracy and efficiency compared to existing methods. Its average Dice scores on the tooth, alveolar bone, maxillary sinus, and mandibular canal segmentation tasks were 96.5%, 95.4%, 93.6%, and 94.8%, respectively. These results demonstrate that it can accelerate the development of digital dentistry.

Abstract Image

基于锥形束计算机断层扫描图像的口腔手术相关组织全自动人工智能分割
从锥束计算机断层扫描(CBCT)图像中对口腔手术相关组织进行精确分割,可大大加快治疗计划的制定并提高手术的准确性。在本文中,我们提出了一种用于牙科植入手术的全自动组织分割系统。具体来说,我们提出了一种基于数据分布直方图的图像预处理方法,它可以自适应地处理不同参数的 CBCT 图像。在此基础上,我们使用骨分割网络获得牙槽骨、牙齿和上颌窦的分割结果。我们将牙齿和下颌区域作为牙齿分割和下颌神经管分割的 ROI 区域,以实现相应的任务。牙齿分割结果可以获得牙列的顺序信息。相应的实验结果表明,与现有方法相比,我们的方法能达到更高的分割精度和效率。其在牙齿、牙槽骨、上颌窦和下颌管分割任务上的平均 Dice 分数分别为 96.5%、95.4%、93.6% 和 94.8%。这些结果表明,它可以加速数字牙科的发展。
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来源期刊
International Journal of Oral Science
International Journal of Oral Science DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
31.80
自引率
1.30%
发文量
53
审稿时长
>12 weeks
期刊介绍: The International Journal of Oral Science covers various aspects of oral science and interdisciplinary fields, encompassing basic, applied, and clinical research. Topics include, but are not limited to: Oral microbiology Oral and maxillofacial oncology Cariology Oral inflammation and infection Dental stem cells and regenerative medicine Craniofacial surgery Dental material Oral biomechanics Oral, dental, and maxillofacial genetic and developmental diseases Craniofacial bone research Craniofacial-related biomaterials Temporomandibular joint disorder and osteoarthritis The journal publishes peer-reviewed Articles presenting new research results and Review Articles offering concise summaries of specific areas in oral science.
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