Submit Manuscript

Information Technology Journal

Year: 2011 | Volume: 10 | Issue: 7 | Page No.: 1437-1441
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend

Total views 325

Search

Authors

Changtao He

Fangnian Lang

Hongliang Li

Haixu Wang

Keywords

Research Article

Simplified PCNN Based MR Images Grayscale Inhomogeneity Real-Time Calibration

Changtao He, Fangnian Lang, Hongliang Li and Haixu Wang
Grayscale inhomogeneities in Magnetic Resonance (MR) images can cause some difficulties in automated quantitative image processing and analysis. In order to remove such inhomogeneities in MR images, some researchers have employed various methods. In this study, we propose a novel bias field estimation method based on simplified Pulse Coupled Neural Network (PCNN). MR images pre-processing makes full use of PCNN’s visual characteristics and provides an efficient iterative method for MR images bias field estimation. Finally, we use estimated bias field to reconstruct simulation images. The proposed method has been successfully applied to 3-Tesla MR images with desirable results. Compared to normal images, the proposed method is effective and self-adaptive to some different slice MR images which converges to the optimal solution at a fast rate.
PDF Fulltext XML References Citation

Leave a Comment

Your email address will not be published. Required fields are marked *