先进重建算法在心脏CT中的作用。
The role of advanced reconstruction algorithms in cardiac CT.
作者信息
Halliburton Sandra S, Tanabe Yuki, Partovi Sasan, Rajiah Prabhakar
机构信息
Philips Healthcare, CT Clinical Science, Cleveland, OH, USA.
Cardiothoracic Imaging, Radiology Department, UT Southwestern Medical Center, Dallas, TX, USA.
出版信息
Cardiovasc Diagn Ther. 2017 Oct;7(5):527-538. doi: 10.21037/cdt.2017.08.12.
Abstract
Non-linear iterative reconstruction (IR) algorithms have been increasingly incorporated into clinical cardiac CT protocols at institutions around the world. Multiple IR algorithms are available commercially from various vendors. IR algorithms decrease image noise and are primarily used to enable lower radiation dose protocols. IR can also be used to improve image quality for imaging of obese patients, coronary atherosclerotic plaques, coronary stents, and myocardial perfusion. In this article, we will review the various applications of IR algorithms in cardiac imaging and evaluate how they have changed practice.
摘要
非线性迭代重建（IR）算法已在世界各地的医疗机构中越来越多地被纳入临床心脏CT协议。多种IR算法可从不同供应商处商业获得。IR算法可降低图像噪声，主要用于实现更低辐射剂量的协议。IR还可用于改善肥胖患者、冠状动脉粥样硬化斑块、冠状动脉支架和心肌灌注成像的图像质量。在本文中，我们将回顾IR算法在心脏成像中的各种应用，并评估它们如何改变了实践。
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