A two-dimensional antiscatter grid for dental cone beam computed tomography

用于牙科锥形束计算机断层扫描的二维防散射网格

基本信息

批准号：
10258749
负责人：
Cem Altunbas
金额：
$ 19.66万
依托单位：
M2 TECHNOLOGIES LLC
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-21 至 2023-09-21
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10258749
关键词：
3-Dimensional 3D Print Address Affect Algorithms Anatomy Attenuated Bone Density Characteristics Cone Data Dental Dental Technology Dentistry Devices Diagnostic Diagnostic radiologic examination Dose Geometry Growth Image Imaging Phantoms Implant Machine Learning Manufacturer Name Measurement Measures Metals Methods Morphologic artifacts Noise Operative Surgical Procedures Patients Phase Radiation Dose Unit Radiation Scattering Radiation therapy Residual state Resolution Roentgen Rays Signal Transduction Site Source System Technology Thinness Three-Dimensional Imaging Time Tissues Visualization Work X-Ray Computed Tomography absorption base clinical decision support clinical implementation clinical practice cone-beam computed tomography cost craniofacial density design detector experimental study imager imaging modality improved machine learning method new technology novel patient variability physical property preservation prototype sensor soft tissue transmission process two-dimensional

项目摘要

Project summary Cone beam computed tomography (CBCT) is a commonly used 3D x-ray imaging modality in dental and craniofacial imaging. While CBCT is primarily employed in evaluating bony anatomy in 3D, soft tissues are often poorly visualized in dental CBCT images. Moreover, tissue densities cannot be extracted accurately from CBCT images. The main culprit behind this problem is scattered radiation. Scattered x-rays emanating from the patient are registered by the x-ray sensor, severely degrading the fidelity of image signals. Thus, in this project, we propose a novel two-dimensional antiscatter grid (2D grid) to substantially improve the dental CBCT image quality. Our proposed 2D grid will attenuate scattered x-rays effectively, while transmitting primary, or useful, x-rays to the image sensor. Once successfully implemented, our 2D grid will provide significantly improved soft tissue visualization, accurate bone density measurement, and will reduce image artifacts. Alternatively, our 2D grid can reduce imaging radiation dose while providing comparable contrast-to- noise ratio with respect to current dental CBCT images. To implement our proposed 2D grid technology, (1) we will investigate the optimal physical characteristics of 2D grids to achieve effective scatter suppression and high primary transmission. (2) We will evaluate the improvement in CBCT image quality provided by 2D grid in phantom imaging experiments.

项目摘要锥束计算层析成像（CBCT）是牙齿中常用的3D X射线成像方式颅面成像。尽管CBCT主要用于评估3D中的骨解剖学，但软组织通常是在牙科CBCT图像中可视化不佳。此外，无法从CBCT准确提取组织密度图像。这个问题背后的主要罪魁祸首是散射的辐射。从患者发出的分散的X射线由X射线传感器注册，严重降低了图像信号的保真度。因此，在这个项目中，我们提出了一个新颖的二维抗探测者网格（2D网格），以实质上改善牙科CBCT图像质量。我们提出的2D网格将有效地衰减X射线，同时传输对图像传感器的主要或有用的X射线。一旦成功实施，我们的2D网格将提供显着改善了软组织可视化，准确的骨密度测量，并将降低图像文物。另外，我们的2D网格可以减少成像辐射剂量，同时提供可比的对比度 - 相对于当前牙科CBCT图像的噪声比。为了实施我们提出的2D网格技术，（1）我们将研究2D的最佳物理特征网格以实现有效的散射抑制和高度一级传播。（2）我们将评估幻影成像实验中2D网格提供的CBCT图像质量的改进。