4.5 Article

Image Registration of 18F-FDG PET/CT Using the MotionFree Algorithm and CT Protocols through Phantom Study and Clinical Evaluation

期刊

HEALTHCARE
卷 9, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/healthcare9060669

关键词

MotionFree algorithm; PET/CT misregistration; respiratory motion artifact; phantom test

资金

  1. VHS Medical Center Research Grant [VHSMC 20059]
  2. National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2019R1F1A1062243]

向作者/读者索取更多资源

The MotionFree algorithm was found to improve the accuracy of PET/CT images by correcting misregistrations caused by respiratory motion, with shorter CT scan times reducing misregistration frequency and natural breathing protocols decreasing misregistration lengths.
We evaluated the benefits of the MotionFree algorithm through phantom and patient studies. The various sizes of phantom and vacuum vials were linked to RPM moving with or without MotionFree application. A total of 600 patients were divided into six groups by breathing protocols and CT scanning time. Breathing protocols were applied as follows: (a) patients who underwent scanning without any breathing instructions; (b) patients who were instructed to hold their breath after expiration during CT scan; and (c) patients who were instructed to breathe naturally. The length of PET/CT misregistration was measured and we defined the misregistration when it exceeded 10 mm. In the phantom tests, the images produced by the MotionFree algorithm were observed to have excellent agreement with static images. There were significant differences in PET/CT misregistration according to CT scanning time and each breathing protocol. When applying the type (c) protocol, decreasing the CT scanning time significantly reduced the frequency and length of misregistrations (p < 0.05). The MotionFree application is able to correct respiratory motion artifacts and to accurately quantify lesions. The shorter time of CT scan can reduce the frequency, and the natural breathing protocol also decreases the lengths of misregistrations.

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