Improvement in C-Arm Acquired DSA Image Quality via Combined Effect of Inverse Consistent Motion Correction and Nonlinear Normalization

Author

Kumar, Dinesh ; Liyang Wei ; Turlapati, R. ; Suri, J.S.

Author_Institution

Eigen LLC, Grass Valley

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

876

Lastpage

879

Abstract

In this paper, we present a new two-step strategy to improve DSA image quality. First, an inverse consistent image registration algorithm is used to register the mask frame and the bolus frame before subtraction. This can effectively reduce the motion artifacts in DSA. Second, the resulted DSA image is further enhanced by background diffusion and nonlinear normalization for better visualization. The proposed method has been evaluated on a database of 73 subjects by quantitatively measuring signal-to-noise (SNR) ratio and Tenengrad measure. DSA embedded with proposed strategies demonstrates an improvement of 136.56% over conventional DSA in terms of SNR. Our system runs on Eigen´s DSA workstation using C++ in Windows environment.

Keywords

biodiffusion; blood vessels; diagnostic radiography; eigenvalues and eigenfunctions; image enhancement; image motion analysis; image registration; medical image processing; splines (mathematics); B-spline method; C-arm acquired DSA image quality; Eigen´s DSA workstation; Tenengrad measure; bolus image frame; digital subtraction angiography; image enhancement; inverse consistent image registration algorithm; inverse consistent motion correction; mask frame registration; motion artifacts reduction; nonlinear normalization; signal-to-noise ratio measurement; Anisotropic magnetoresistance; Biomedical imaging; Blood vessels; Humans; Image databases; Image quality; Image registration; Noise reduction; Spline; Visualization; Algorithms; Angiography, Digital Subtraction; Artifacts; Artificial Intelligence; Humans; Imaging, Three-Dimensional; Motion; Nonlinear Dynamics; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, Spiral Computed;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4352430

Filename

4352430