Artacho Terrer Juan M, Nasarre Benedé Miguel A, Bernués del Rio Emiliano, Cruz Llanas Santiago
Communications Technology Group, I3A, University of Zaragoza, CP: 50018, Zaragoza, Spain.
IEEE Trans Biomed Eng. 2007 Mar;54(3):370-9. doi: 10.1109/TBME.2006.890487.
The planning of intensity modulated radiation therapy cancer treatment poses an inverse problem and is usually solved by optimization methods. Treatment planning, in a majority of cases, requires restrictions to be imposed on the healthy organs, sensitive to the radiation, which justifies the use of constrained optimization. The application of these techniques in treatment planning usually involves serious complications and limitations due to the huge number of variables appearing in the planning process. This leads to large computation times and memory requirements. In this paper, strategies and algorithmic issues are proposed in order to cope with these limitations. The proposed methods have been applied and tested in real cases of prostate cancer, obtaining satisfactory results regarding computational limitations.
调强放射治疗癌症的治疗计划是一个逆问题，通常通过优化方法来解决。在大多数情况下，治疗计划需要对辐射敏感的健康器官施加限制，这证明了使用约束优化的合理性。由于治疗计划过程中出现大量变量，这些技术在治疗计划中的应用通常涉及严重的复杂性和局限性。这导致计算时间长和内存需求大。本文提出了应对这些局限性的策略和算法问题。所提出的方法已在前列腺癌的实际病例中得到应用和测试，在计算限制方面取得了令人满意的结果。
