DocumentCode :
889481
Title :
Automatic image hanging protocol for chest radiographs in PACS
Author :
Luo, Hui ; Hao, Wei ; Foos, David H. ; Cornelius, Craig W.
Author_Institution :
Kodak R&D Labs., Eastman Kodak Co., Rochester, NY
Volume :
10
Issue :
2
fYear :
2006
fDate :
4/1/2006 12:00:00 AM
Firstpage :
302
Lastpage :
311
Abstract :
Chest radiography is one of the most widely used techniques in diagnostic imaging. It comprises at least one-third of all diagnostic radiographic procedures in hospitals. However, in the picture archive and communication system, images are often stored with the projection and orientation unknown or mislabeled, which causes inefficiency for radiologists´ interpretation. To address this problem, an automatic hanging protocol for chest radiographs is presented. The method targets the most effective region in a chest radiograph, and extracts a set of size-, rotation-, and translation-invariant features from it. Then, a well-trained classifier is used to recognize the projection. The orientation of the radiograph is later identified by locating the neck, heart, and abdomen positions in the radiographs. Initial experiments are performed on the radiographs collected from daily routine chest exams in hospitals and show promising results. Using the presented protocol, 98.2% of all cases could be hung correctly on projection view (without protocol, 62%), and 96.1% had correct orientation (without protocol, 75%). A workflow study on the protocol also demonstrates a significant improvement in efficiency for image display
Keywords :
Bayes methods; PACS; belief networks; diagnostic radiography; feature extraction; medical image processing; Bayesian learning framework; PACS; automatic image hanging protocol; chest radiograph; communication system; diagnostic radiographic imaging; picture archive; translation-invariant feature extraction; Biomedical imaging; Chromium; Diagnostic radiography; Heart; Hospitals; Medical diagnostic imaging; Neck; Picture archiving and communication systems; Protocols; X-ray imaging; Bayesian learning framework; chest radiography; hanging protocol; picture archive and communication system (PACS);
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2005.859872
Filename :
1613956
Link To Document :
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