NDLI: Automatic cropping method of chest radiographs based on adaptive binarization

Content Provider	IEEE Xplore Digital Library
Author	Imura, M. Tabata, Y. Ishigaki, R. Kuroda, Y. Uranishi, Y. Oshiro, O.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan (Imura, M.; Kuroda, Y.; Uranishi, Y.; Oshiro, O.) \|\| Fac. of Med. Sci., Kyoto Coll. of Med. Sci., Kyoto, Japan (Tabata, Y.; Ishigaki, R.)
Abstract	General radiography systems are widely used for medical diagnoses. Since the size of image detectors of general radiography systems is standardized in several fixed sizes, relative size of target body parts differs according to patients. The spread of digitization of X-ray imaging forces radiological technologists to crop radiographs manually after measurement for suitable use on diagnoses. This cropping operation distracts attention of radiological technologists from measurement operations and from care to patients. The purpose of this study is to establish image processing method to achieve automatic cropping of X-ray images, which reduces the radiological technologists' burden in general radiography workflow. The proposed method utilizes adaptive binarization as pre-processing of radiographs. In this paper, we show the result of the proposed method applied for chest radiographs and the evaluation by radiological technologists.
Starting Page	6494
Ending Page	6497
File Size	2687541
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diagnostic radiography Indexes Biomedical imaging Image processing X-ray imaging Lungs
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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