Evaluation of 2D Image Reconstruction using Fan-Beam FBP Algorithm with no Backprojection Weight from WLP Completed Truncated Projection Data
This paper presents the image reconstruction using the fan-beam filtered backprojection (FBP) algorithm with no backprojection weight from windowed linear prediction (WLP) completed truncated projection data. The image reconstruction from truncated projections aims to reconstruct the object accurately from the available limited projection data. Due to the incomplete projection data, the reconstructed image contains truncation artifacts which extends into the region of interest (ROI) making the reconstructed image unsuitable for further use. Data completion techniques have been shown to be effective in such situations. We use windowed linear prediction technique for projection completion and then use the fan-beam FBP algorithm with no backprojection weight for the 2-D image reconstruction. We evaluate the quality of the reconstructed image using fan-beam FBP algorithm with no backprojection weight after WLP completion.
Fan-beam algorithm truncated data Windowed Linear Prediction.
K. Sumith A. V. Narasimhadhan Kasi Rajgopal
Dept. Of Electrical Engg,Indian Institute of Science,Bangalore,India
国际会议
上海
英文
282-286
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）