By Topic

Visual Model Based C-Arm System Calibration and Image Correction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Shaojie Lv ; Image Process. Center, Beihang Univ., Beijing, China ; Cai Meng ; Fugen Zhou ; Bo Liu
more authors

In traditional methods, the C-Arm system calibration was performed based on the result of C-Arm image correction. When correcting images, high-order polynomial was used to fit relating distorted pixels to ideal image pixel. However accurate ideal image could not be established easily, that heavily restricted the precision of correction. In this paper, a novel method is presented based on visual model which does not depend on ideal image and integrates correction and calibration as one process. In this method, the Tsai's calibration method is used to calculate the internal and external parameters of C-Arm system with markers in the center region of the image. Then, nonlinear optimization is applied to get more precise C-Arm imaging model with all markers. Finally, the distortion image is corrected using the distortion parameters of internal parameters. To verify this method, known distances between points are reconstructed and the experimental results show that the maximum error is less than 1 mm.

Published in:

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Date of Conference:

17-19 Oct. 2009