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颌面锥形束计算机断层扫描:本质、要素和解读步骤。

Maxillofacial cone beam computed tomography: essence, elements and steps to interpretation.

机构信息

Radiology and Imaging Science Division, Department of Surgical and Hospital Dentistry, School of Dentistry, The University of Louisville, Kentucky 40292, USA.

出版信息

Aust Dent J. 2012 Mar;57 Suppl 1:46-60. doi: 10.1111/j.1834-7819.2011.01657.x.

DOI:10.1111/j.1834-7819.2011.01657.x
PMID:22376097
Abstract

Maxillofacial cone beam computed tomography (CBCT) is one of the most significant advances in dental imaging since rotational panoramic radiography. While the acquisition of CBCT data is technically simple, numerous parameters should be considered so that CBCT imaging is performed appropriately and 'task specific'. This involves an understanding of not only exposure (e.g. geometric and software parameters to minimize patient dose, while sustaining diagnostic image quality) but also image formatting options to maximize image display. CBCT images contain far more detailed information of the maxillofacial region than do panoramic or other 2-D images and necessitate a thorough knowledge of the 3-D anatomy of the region and considerations of variability in the range of the anatomically normal. These principles, procedures and protocols, together with the interpretation of CBCT images form the basis of best practices in maxillofacial CBCT imaging. This communication aims to provide: (1) an overview of the fundamental principles of operation of maxillofacial CBCT technology; (2) an understanding of 'task specific' equipment, image selection and image display modes; and (3) a systematic methodology for sequencing interpretation of CBCT images.

摘要

颌面锥形束计算机断层扫描(CBCT)是自旋转全景放射摄影以来牙科成像领域最重要的进展之一。虽然 CBCT 数据的获取在技术上很简单,但应该考虑许多参数,以使 CBCT 成像得到适当的“任务特定”执行。这不仅涉及到对曝光(例如,最小化患者剂量的几何和软件参数,同时保持诊断图像质量)的理解,还涉及到图像格式化选项的理解,以最大限度地显示图像。CBCT 图像包含的颌面区域的详细信息比全景或其他二维图像多得多,因此需要对该区域的三维解剖结构有透彻的了解,并考虑到解剖学正常范围内的可变性。这些原则、程序和协议,以及 CBCT 图像的解释,构成了颌面 CBCT 成像最佳实践的基础。本通讯旨在提供:(1)颌面 CBCT 技术操作的基本原理概述;(2)对“任务特定”设备、图像选择和图像显示模式的理解;(3)对 CBCT 图像进行序列解释的系统方法。

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