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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Santosh, K.C. Candemir, S. Jaeger, S. Folio, L. Karargyris, A. Antani, S. Thoma, G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Radiol., Nat. Inst. of Health (NIH), Bethesda, MD, USA (Folio, L.) || US Nat. Libr. of Med. (NLM), Nat. Inst. of Health (NIH), Bethesda, MD, USA (Santosh, K.C.; Candemir, S.; Jaeger, S.; Karargyris, A.; Antani, S.; Thoma, G.) |
| Abstract | We present a generalized line histogram technique to compute global rib-orientation for detecting rotated lungs in chest radiographs. We use linear structuring elements, such as line seed filters, as kernels to convolve with edge images, and extract a set of lines from the posterior rib-cage. After convolving kernels in all possible orientations in the range [0, π], we measure the angle for which the line histogram has maximum magnitude. This measure provides a good approximation of the global chest rib-orientation for each lung. A chest radiograph is said to be upright if the difference between the orientation angles of both lungs with respect to the horizontal axis, is negligible. We validate our method on sets of normal and abnormal images and argue that rib orientation can be used for rotation detection in chest radiographs as aid in quality control during image acquisition, and to discard images from training and testing data sets. In our test, we achieve a maximum accuracy of 90%. |
| Starting Page | 138 |
| Ending Page | 142 |
| File Size | 6814035 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479944354 |
| ISSN | 23729198 |
| DOI | 10.1109/CBMS.2014.56 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Government rotation detection Chest radiographs generalized line histogram rib-orientations |
| Content Type | Text |
| Resource Type | Article |
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