Paper Info
Title
Effect Of Hierarchical Deformable Motion Compensation On Image Enhancement For Dsa Acquired Via C-Arm
Abstract
DSA images suffer from challenges like system X-ray noise and artifacts due to patient movement. In this paper, we present a two-step strategy to improve DSA image quality. First, a hierarchical deformable registration algorithm is used to register the mask frame and the bolus frame before subtraction. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization.Two major changes are made in the hierarchical deformable registration algorithm for DSA images: 1) B-Spline is used to represent the deformation field in order to produce the smooth deformation field; 2) two features are defined as the attribute vector for each point in the image, i.e., original image intensity and gradient. Also, for speeding up the 2D image registration, the hierarchical motion compensation algorithm is implemented by a multi-resolution framework.The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio. DSA embedded with proposed strategies demonstrates an improvement of 74.1% over conventional DSA in terms of SNR. Our system runs on Eigen's DSA workstation using C++ in Windows environment.
Year
DOI
Venue
2008
10.1117/12.765520
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VI
Keywords
Field
DocType
DSA, hierarchical deformable registration, diffusion, nonlinear normalization
B-spline,Computer vision,Normalization (statistics),Visualization,Motion compensation,Image quality,Image processing,Artificial intelligence,Subtraction,Mathematics,Image registration
Conference
Volume
ISSN
Citations 
6812
0277-786X
1
PageRank 
References 
Authors
0.37
0
5
Name
Order
Citations
PageRank
Liyang Wei116712.04
Dinggang Shen27837611.27
Dinesh Kumar324745.04
Ram Turlapati410.70
Jasjit S. Suri51754128.89