Affiliations: Department of Electrical and Electronic Engineering,
Yonsei University, Korea
Note: [] Corresponding author. Jaeho Baek, ICSLab, Department of
Electrical and Electronic Engineering, Yonsei University, 134, Sinchon,
Seodaemun, Seoul, Korea. E-mail: [email protected]
Abstract: The Digital X-ray Scanner System (DX-Scanner) using the Multichannel
Ionization Chamber (MIC) has many advantages. On the other hand, the scanned
medical image has distorted pixels because of unsuitable integration time at
the nonlinear acceleration period and vibration of the AC servo motor during
scanning a patient in the system. This paper proposes a correction algorithm
based on fuzzy modeling. The proposed correction algorithm can correct the
distorted medical image during scanning. Fuzzy modeling uses a clustering
method for the nonlinear motor velocity in the algorithm. The algorithm
reconstructs the normal medical image lines by calculating the moving distance
every integration time during acceleration period of AC servo motor. The
algorithm analyzes by comparing the distance of the acceleration period with
the distance of the uniform velocity period in every integration time. The
velocity for the acceleration period is able to be compensated via this
algorithm. In addition, several image processing procedures are also included
in the algorithm. When the proposed correction algorithm is applied to the test
pattern for checking the image resolution, its effectiveness is verified at
scanning of 3.5 cm/sec, 7 cm/sec, and 14 cm/sec. The corrected image is a
better image.
