CT Image Reconstruction Based on GPUs
In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections. However, in practice, these methods are not widely used due to the high computational cost of their impl...
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2013 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/40602 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/40602 |
| Access Level: | acceso abierto |
| Palavra-chave: | CT image reconstruction GPU based algoruthm CUDA C. Iterative algorithm CUBLAS CUSPARSE CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL INGENIERIA NUCLEAR MATEMATICA APLICADA |
| Resumo: | In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections. However, in practice, these methods are not widely used due to the high computational cost of their implementation. Nowadays technology provides the possibility to reduce effectively this drawback. It is the goal of this work to develop a fast GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data. |
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