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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kawaguchi, T. Harada, Y. Nagata, R. Miyake, H. |
| Copyright Year | 2010 |
| Description | Author affiliation: Faculty of Medicine, Oita University, Yufu, Japan (Miyake, H.) || Faculty of Engineering, Oita University, Japan (Kawaguchi, T.; Harada, Y.; Nagata, R.) |
| Abstract | Contralateral subtraction (C-sub) is a computer-aided diagnosis technique for detecting pulmonary nodules in chest radiographs. This technique enhances nodules in a chest image by subtracting its right / left reversed mirror image from the original image. In this paper, we propose a C-sub scheme which uses global and a local registration methods that are newly proposed in this paper. We evaluated the subtraction images obtained by the proposed C-sub scheme using 107 images with nodules in JSRT database, whose subtlety levels are ‘very subtle’, ‘subtle’, and ‘relatively obvious’. First, the quality of rib elimination in subtraction images was evaluated by a radiologist using a three-point rating of 3 (adequate or better), 2 (poor), and 1 (very poor). As the result, 92.5% cases were scored as 3. Next, a radiologist checked whether or not nodules were clearly depicted at the notified locations in subtraction images. And, the quality of nodule depiction was scored as 3 (clearly depicted), 2 (subtly depicted), or 1 (not depicted). As the result, 73.8% cases were scored as 3 and 7.5% cases were scored as 2. The time needed by the proposed scheme was 19.4 seconds for each image on the average of 107 images by a 2.2GHz Intel PC. |
| Starting Page | 306 |
| Ending Page | 313 |
| File Size | 1068728 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424464951 |
| e-ISBN | 9781424464982 |
| DOI | 10.1109/BMEI.2010.5639493 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Lungs Image edge detection lung nodule detection Mirrors chest radiograph computer-aided diagnosis Pixel Spline Ribs B-splines |
| Content Type | Text |
| Resource Type | Article |
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