Minimization of Streak Artifacts in CT Images Using Particle swarm optimization based Algorithm
Journal Title: IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) - Year 2018, Vol 13, Issue 6
Abstract
In computed tomography (CT) images, metal inculcates raises the deviations between the consistent data and the linear attenuation inference maintained by perceptive CT reconstruction algorithms. The deviations create the increase of bright and dark bands and streaks in the ultimate reconstructed image, untidily known as metal artifacts. The artifacts in the CT image become difficult for radiologists to acquire actual diagnostic arbitration[1]. The Numerous probable causes of metal streak artifacts are designed using phantom simulations and measurements. Beam hardening, exponential edge-gradient effect, scattering effect, noise are analyzed as potential causes of metal streak artifacts[2].PSO (particle swarm optimization) the algorithm uses a back projection method called as particle based back projection for projection data particles in the optimized space during back-projection relatively to the location where each angle is resided at the time of projection. Better results are acquired for simulations and phantom measurements streak artifacts are minimized throughout the time and the slight line-shaped particulars are preserved. Noise can be minimized using iterative reconstruction or by combining data from different scans. This enables lower radiation dose and higher resolution scans. Streak artifacts are reduced using iterative reconstruction, proceeding in extended accurate diagnosis.
Authors and Affiliations
Dr. M. V. Sruthi, Dr. KVSRIT Kurnool
Keywords
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- EP ID EP439345
- DOI 10.9790/2834-1306015458.
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