Document Detail


Automatic Patient Table Removal in CT Images.
MedLine Citation:
PMID:  22258731     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In many medical imaging applications, it is desirable and important to localize and remove the patient table from CT images. However, existing methods often require user interactions to define the table and sometimes make inaccurate assumptions about the table shape. Due to different patient table designs, shapes, and characteristics, these methods are not robust in identifying and removing the patient table. This paper proposes a new automatic approach which first identifies and locates the patient table in the sagittal planes and then removes it from the axial planes. The method has been tested successfully against different tables in different products from multiple vendors, showing it is both a versatile and robust technique for patient table removal.
Authors:
Yang-Ming Zhu; Steven M Cochoff; Ronald Sukalac
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-19
Journal Detail:
Title:  Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology     Volume:  -     ISSN:  1618-727X     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Imaging Clinical Applications and Platforms, Philips Healthcare, 595 Miner Road, Cleveland, OH, 44143, USA, yzhu@computer.org.
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