Image quality improvement in cone-beam CT using the super-resolution technique
| Autor: | Shinobu Kumagai, Kenshiro Shiraishi, Jun'ichi Kotoku, Asuka Oyama, Takeshi Takata, Yusuke Saikawa, Takenori Kobayashi, Norikazu Arai |
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| Rok vydání: | 2018 |
| Předmět: |
Cone beam computed tomography
Mean squared error sparse coding Computer science Image quality Health Toxicology and Mutagenesis ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION super-resolution Pelvis 030218 nuclear medicine & medical imaging Image (mathematics) 03 medical and health sciences 0302 clinical medicine Regular Paper Humans Radiology Nuclear Medicine and imaging Computer vision deformable image registration Linear combination Cone beam ct Radiation business.industry Cone-Beam Computed Tomography Superresolution Radiographic Image Enhancement Computer Science::Computer Vision and Pattern Recognition 030220 oncology & carcinogenesis cone-beam CT Artificial intelligence dictionary learning business Algorithms |
| Zdroj: | Journal of Radiation Research |
| ISSN: | 1349-9157 0449-3060 |
| Popis: | This study was conducted to improve cone-beam computed tomography (CBCT) image quality using the super-resolution technique, a method of inferring a high-resolution image from a low-resolution image. This technique is used with two matrices, so-called dictionaries, constructed respectively from high-resolution and low-resolution image bases. For this study, a CBCT image, as a low-resolution image, is represented as a linear combination of atoms, the image bases in the low-resolution dictionary. The corresponding super-resolution image was inferred by multiplying the coefficients and the high-resolution dictionary atoms extracted from planning CT images. To evaluate the proposed method, we computed the root mean square error (RMSE) and structural similarity (SSIM). The resulting RMSE and SSIM between the super-resolution images and the planning CT images were, respectively, as much as 0.81 and 1.29 times better than those obtained without using the super-resolution technique. We used super-resolution technique to improve the CBCT image quality. |
| Databáze: | OpenAIRE |
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