基于定积分的放疗权重因子自动优化方法研究

doi:10.3969/j.issn.0258-8021.2022.03.008

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Abstract To solve the problem of time-consuming and low efficiency that exist in the process of manual inverse planning, a strategy adjusting weighting factor for sub-objective function of physical criteria was constructed based on the definite integral theory, and an automatic iterative adjustment method of weighting factors was proposed in this paper. In the automatic method, the weighting factors are automatically and iteratively adjusted first based on proposed penalty strategies. Then, plan evaluation was performed to determine whether the obtained plan was acceptable. If not, a higher penalty was assigned to the unsatisfied objective by multiplying it by a compensation coefficient. The optimization processes were performed alternately until an acceptable plan was obtained or the maximum number of iteration was reached. The effectiveness of the method was verified on 10 prostate cancer cases and compared with the manual planning from the perspective of dosimetry and biology. Experimental results showed that, in terms of DVH curves and dose statistics, the mean dose, V₆₅, V₇₀, normal tissue complications probability and generalized equivalent uniform dose of bladder were reduced by 0.53Gy, 4.6%, 3.33%, 0.37% and 0.22Gy, respectively, under the premise that the dose coverage characteristics of target area were similar. And the maximum dose of rectum, V₅₀ and V₆₅decreased by 0.54Gy, 0.66% and 1.64%, respectively. There was no significant difference in other indexes (P>0.05) except V₇₅ of bladder (P<0.05); it took 1~3 minutes to produce an acceptable plan applying our proposed automatic optimization method of weighting factors, while for the manual trial-and-error method, it needed professional physicians to take 1~3 hours to obtained an acceptable plan. In conclusion, the automatic optimization method of radiotherapy weighting factors based on definite integral improved the efficiency of radiotherapy and generated satisfactory radiotherapy plans.

Key words： weighting factor inverse planning definite integral automatic planning physical optimization

Received: 24 September 2020

PACS:

R318

Corresponding Authors: ^*E-mail: guocaipingvip@163.com

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	Guo Caiping
	Zhang Junsheng
	Zhang Xiaojuan

Cite this article:

Guo Caiping,Zhang Junsheng,Zhang Xiaojuan. Research on Automatic Optimization of Weighting Factors in Radiotherapy Based on Definite Integral[J]. Chinese Journal of Biomedical Engineering, 2022, 41(3): 320-327.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2022.03.008 OR http://cjbme.csbme.org/EN/Y2022/V41/I3/320

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