Work

Local ROI Reconstruction via Generalized FBP and BPF Algorithms along More Flexible Curves

Year: 2006

Type: article

Abstract: We study the local region-of-interest (ROI) reconstruction problem, also referred to as the local CT problem. Our scheme includes two steps: (a) the local truncated normal-dose projections are extended to global dataset by combining a few global low-dose projections; (b) the ROI are reconstructed by either the generalized filtered backprojection (FBP) or backprojection-filtration (BPF) algorithms. The simulation results show that both the FBP and BPF algorithms can reconstruct satisfactory results with image quality in the ROI comparable to that of the corresponding global CT reconstruction.

Source: International Journal of Biomedical Imaging

DOI: 10.1155/ijbi/2006/14989

Authors: Hengyong Yu, Yangbo Ye, Shiying Zhao, Ge Wang

Institution: University of Iowa

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,000