Iterative conic beam tomography based on Bayesian approach to radiation therapy
| Autor: | Sergei Zolotarev, V. L. Vengrinovich, M. A. Mirzavand |
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| Rok vydání: | 2016 |
| Předmět: |
Heuristic (computer science)
business.industry Iterative method OpenGL 02 engineering and technology Iterative reconstruction Residual Computer Graphics and Computer-Aided Design 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Conic section 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Minification business Image resolution Mathematics |
| Zdroj: | Pattern Recognition and Image Analysis. 26:824-830 |
| ISSN: | 1555-6212 1054-6618 |
| DOI: | 10.1134/s1054661816040192 |
| Popis: | The key problem in increasing efficiency of radiotherapy of malignant tumors in brain and other dangerous neoplasms is the problem of increasing the quality of 3D positioning of a patient before radiotherapy. We consider the principles of development of fast parallel iterative algorithms based on graphic accelerators and the OpenGL library. The proposed approaches provide simultaneous residual minimization for the sought solution and total variation of the reconstructed 3D image. In this case, the number of required initial data, i.e., conic X-ray projections, can be reduced several times, and therefore, the radiation load on the patient can also be accordingly reduced with preservation of the necessary contrast and spatial resolution of the 3D image of the patient. The new heuristic iterative algorithm can be used as an alternative to the known 3D Feldkamp algorithm. |
| Databáze: | OpenAIRE |
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