Paper Info
Title
Blind Image Restoration Algorithm Based On Improved Sparse Bayesian Low Dose Ct
Abstract
In China, moyamoya disease is one of the main causes of stroke events in children and adults. Early diagnosis and early treatment can prevent irreversible damage to nerve function and greatly improve the quality of life of patients. Based on the improved sparse Bayesian low-dose CT image blind restoration algorithm, moyamoya disease diagnosis and treatment has important application value guidance and evaluation Cheng, through the retrospective analysis of the clinical characteristics, imaging characteristics and treatment of 105 patients with moyamoya disease diagnosed by Blind image restoration algorithm based on improved sparse Bayesian low dose CT from April 2012 to November 2015 in a hospital in Hefei City, we think that CT angiography has important application value in the diagnosis and treatment of moyamoya disease, and we can draw a conclusion. Among these 105 patients, women are the majority. The ratio of male to female was 1:1.188, and the peak period was 30-40 years old. There were 41 cases of ischemic stroke and 64 cases of hemorrhagic stroke. 29 patients underwent STA-MCA bypass, temporal muscle compression and dural reversal. Blind image restoration algorithm based on improved sparse Bayesian low dose CT was reexamined. The results of Blind image restoration algorithm based on improved sparse Bayesian low dose CT and DSA were the same. It can be seen that Blind image restoration algorithm based on improved sparse Bayesian low dose CT is a reliable method to diagnose moyamoya disease, which can be used as a preoperative guidance and postoperative evaluation of bypass vessel patency and collateral circulation formation.
Year
DOI
Venue
2020
10.3233/JIFS-179610
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
CT angiography, moyamoya disease, artery bypass
Journal
38
Issue
ISSN
Citations 
4
1064-1246
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Xiaopei Liu184.53
Jianfu Teng200.34