Paper Info
Title
Clinical validation and performance evaluation of enhancement methods acquired from interventional C-ARM x-ray
Abstract
Digital Subtraction Angiography (DSA) is a well-established powerful modality for the visualization of stenosis and blood vessels in general. This paper presents two novel approaches which address image quality. In the first approach we combine anisotropic diffusion with nonlinear normalization. The second approach consists of an introduction of a regularization strategy followed by a classification procedure to improve the enhancement. The performances of two strategies are evaluated based on a database of 73 subjects using SNR, CNR and Tenengrad's metric. Compared with conventional DSA, Eigen's diffusion embedded nonlinear enhancement strategies can improve image quality 95.25% in terms of SNR. The regularization embedded linear enhancement strategy can also improve SNR 51.46% compared with conventional DSA. Similar results are obtained by CNR and Tenengrad's metric measurements. Our system runs on a PC-based workstation using C++ in Windows environment.
Year
DOI
Venue
2008
10.1117/12.770734
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
DSA,enhancement,regularization strategy,diffusion
Anisotropic diffusion,Computer vision,Digital subtraction angiography,Normalization (statistics),Nonlinear system,Visualization,Workstation,Image quality,Regularization (mathematics),Artificial intelligence,Engineering
Conference
Volume
ISSN
Citations 
6914
0277-786X
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Liyang Wei116712.04
Dinesh Kumar224745.04
Animesh Khemka321.18
Ram Turlapati410.70
Jasjit S. Suri51754128.89