4.5 Article

Free-breathing cardiac MR with a fixed navigator efficiency using adaptive gating window size

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 68, 期 6, 页码 1866-1875

出版社

WILEY
DOI: 10.1002/mrm.24210

关键词

free-breathing cardiovascular MRI; respiratory motion compensation; diaphragmatic navigators; gating window

资金

  1. NIH [R01EB008743-01A2]
  2. NSERC (Natural Sciences and Engineering Research Council of Canada)

向作者/读者索取更多资源

A respiratory navigator with a fixed acceptance gating window is commonly used to reduce respiratory motion artifacts in cardiac MR. This approach prolongs the scan time and occasionally yields an incomplete dataset due to respiratory drifts. To address this issue, we propose an adaptive gating window approach in which the size and position of the gating window are changed adaptively during the acquisition based on the individual's breathing pattern. The adaptive gating window tracks the breathing pattern of the subject throughout the scan and adapts the size and position of the gating window such that the gating efficiency is always fixed at a constant value. To investigate the image quality and acquisition time, free breathing cardiac MRI, including both targeted coronary MRI and late gadolinium enhancement imaging, was performed in 67 subjects using the proposed navigator technique. Targeted coronary MRI was acquired from eleven healthy adult subjects using both the conventional and proposed adaptive gating window techniques. Fifty-six patients referred for cardiac MRI were also imaged using late gadolinium enhancement with the proposed adaptive gating window technique. Subjective and objective image assessments were used to evaluate the proposed method. The results demonstrate that the proposed technique allows free-breathing cardiac MRI in a relatively fixed time without compromising imaging quality due to respiratory motion artifacts. Magn Reson Med, 2012. (c) 2012 Wiley Periodicals, Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据