The Time-Domain Integration Method of Digital Subtraction Angiography Images
Joint Authors
Huang, Shuo
Cheng, Le
Zhu, Bin
Zhou, Ping
Sun, Yu
Zhang, Bing
Wan, Suiren
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-30
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The clarity improvement and the noise suppression of digital subtraction angiography (DSA) images are very important.
However, the common methods are very complicated.
An image time-domain integration method is proposed in this study, which is based on the blood flow periodicity.
In this method, the images of the first cardiac cycle after the injection of the contrast agent are integrated to obtain the time-domain integration image.
This method can be used independently or as a postprocessing method of the denoising method on the signal image.
The experimental results on DSA data from an aortic dissection patient show that the image time-domain integration method is efficient in image denoising and enhancement, which also has a good real-time performance.
This method can also be used to improve the denoising and image enhancement effect of some common models.
American Psychological Association (APA)
Huang, Shuo& Cheng, Le& Zhu, Bin& Zhou, Ping& Sun, Yu& Zhang, Bing…[et al.]. 2018. The Time-Domain Integration Method of Digital Subtraction Angiography Images. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1132061
Modern Language Association (MLA)
Huang, Shuo…[et al.]. The Time-Domain Integration Method of Digital Subtraction Angiography Images. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-5.
https://search.emarefa.net/detail/BIM-1132061
American Medical Association (AMA)
Huang, Shuo& Cheng, Le& Zhu, Bin& Zhou, Ping& Sun, Yu& Zhang, Bing…[et al.]. The Time-Domain Integration Method of Digital Subtraction Angiography Images. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1132061
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132061