Chest tomosynthesis: Technical principles and clinical update

被引:145
作者
Dobbins, James T., III [1 ,2 ,3 ]
McAdams, H. Page [1 ]
机构
[1] Duke Univ, Med Ctr, Carl E Ravin Adv Imaging Labs, Dept Radiol, Durham, NC 27705 USA
[2] Duke Univ, Dept Biomed Engn, Durham, NC 27705 USA
[3] Duke Univ, Med Phys Grad Program, Med Ctr, Durham, NC 27705 USA
基金
美国国家卫生研究院;
关键词
Tomosynthesis; Chest radiography; Pulmonary nodules; APERTURE COMPUTED-TOMOGRAPHY; DIGITAL BREAST TOMOSYNTHESIS; EXPOSURE DUAL-ENERGY; CANCER ACTION PROJECT; SUBTLE LUNG NODULES; PULMONARY NODULES; RECONSTRUCTION ALGORITHMS; CRESTAL DEFECTS; RADIOGRAPHY; CT;
D O I
10.1016/j.ejrad.2009.05.054
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
Digital tomosynthesis is a radiographic technique that can produce an arbitrary number of section images of a patient from a single pass of the X-ray tube. It utilizes a conventional X-ray tube, a flat-panel detector, a computer-controlled tube mover, and special reconstruction algorithms to produce section images. While it does not have the depth resolution of computed tomography (CT), tomosynthesis provides some of the tomographic benefits of CT but at lower cost and radiation dose than CT. Compared to conventional chest radiography, chest tomosynthesis results in improved visibility of normal structures such as vessels, airway and spine. By reducing visual clutter from overlying normal anatomy, it also enhances detection of small lung nodules. This review article outlines the components of a tomosynthesis system, discusses results regarding improved lung nodule detection from the recent literature, and presents examples of nodule detection from a clinical trial in human subjects. Possible implementation strategies for use in clinical chest imaging are discussed. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:244 / 251
页数:8
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