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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gholam Hosseini, H. Alizad, A. Fatemi, M. |
| Copyright Year | 2005 |
| Abstract | Image registration has been widely used for generating more diagnostic and clinical values in medical imaging. On the other hand, inaccurate image registration and incorrect localization of region of interest risks a potential impact on patients. Vibro-acoustography (VA) is a new imaging modality that has been applied to both medical and industrial imaging. Combining unique diagnostic information of VA with other medical imaging is one of our research interests. In this work, we studied the VA and X-ray image pairs and adopted a flexible control-point selection technique for image registration. A modified second-order polynomial, which leads to a scale/rotation/translation invariant registration, was used. The results of registration were used to spatially transform the breast VA images to map with the X-ray mammography with a registration error of less than 1.65 mm. These two completely different modalities were combined to generate an image including a ratio of each image pixel value. Therefore, the proposed technique allows clinicians to maximize their insight by combining the information from X-ray mammogram and VA modalities into a single image |
| Starting Page | 1846 |
| Ending Page | 1849 |
| File Size | 391764 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387414 |
| DOI | 10.1109/IEMBS.2005.1616809 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | X-ray imaging Mammography Image registration Biomedical imaging Optical imaging Medical diagnostic imaging Polynomials Breast Image generation Pixel Mammography, Breast Image Registration Medical Image Processing Vibro-acoustography |
| Content Type | Text |
| Resource Type | Article |
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