Document Detail


Fast CT metal artefacts correction based on derivative and region-based filling.
MedLine Citation:
PMID:  22141599     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Introduction: Metal artefacts seriously degrade the quality of the CT images. Blurring around the junctions between metal and non-metal regions in CT images, metal artefacts often prevent right diagnoses, and even lead to misdiagnoses of patients. The aim of the study was to devise a fast and robust method to improve the quality of the artefact-contaminated CT images. Methods: The proposed artefact correction includes the following five steps: metal object segmentation, forward projection, region-based filling, adaptive scaling and final image reconstruction. Results: The feasibility of the proposed method in correcting metal artefacts was validated by experiments on both simulated and clinical images. Experiments showed the proposed correction could lead to fast and effective reduction of metal artefacts in CT images. Conclusions: Compared with other methods, the proposed method has less computational cost and allows a feasible and easy implantation into current CT imaging systems.
Authors:
Yuanjin Li; Yang Chen; Limin Luo; Pengcheng Zhang; Quan Zhang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of medical imaging and radiation oncology     Volume:  55     ISSN:  1754-9485     ISO Abbreviation:  J Med Imaging Radiat Oncol     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101469340     Medline TA:  J Med Imaging Radiat Oncol     Country:  Australia    
Other Details:
Languages:  eng     Pagination:  535-41     Citation Subset:  IM    
Copyright Information:
© 2011 The Authors. Journal of Medical Imaging and Radiation Oncology © 2011 The Royal Australian and New Zealand College of Radiologists.
Affiliation:
Laboratory of Image Science and Technology, Southeast University, Nanjing Department of Computer, Chuzhou University, Chuzhou, China.
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