title: Automatic image hanging protocol for chest radiographs in PACS.
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.
authors.affiliation: Kodak Research & Development Laboratories, Eastman Kodak Company, Rochester, NY 14650-2003, USA. hui.luo@kodak.com
authors.forename: Hui
authors.initials: H
authors.lastname: Luo
authors.forename: Wei
authors.initials: W
authors.lastname: Hao
authors.forename: David H
authors.initials: DH
authors.lastname: Foos
authors.forename: Craig W
authors.initials: CW
authors.lastname: Cornelius
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D003628:Database Management Systems; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D011873:Radiology Information Systems