automatic treatment
Recently Published Documents


TOTAL DOCUMENTS

98
(FIVE YEARS 26)

H-INDEX

11
(FIVE YEARS 2)

2021 ◽  
Vol 33 (11) ◽  
pp. 3494-3506
Author(s):  
Leilei Sun ◽  
Chuanren Liu ◽  
Guoqing Chen ◽  
Chonghui Guo ◽  
Hui Xiong ◽  
...  

Author(s):  
Takumi Kodama ◽  
Shigehiro Kudo ◽  
Shogo Hatanaka ◽  
Masatsugu Hariu ◽  
Munefumi Shimbo ◽  
...  

2021 ◽  
pp. 1-7
Author(s):  
Kenni Højsgaard Engstrøm ◽  
Carsten Brink ◽  
Mette Holck Nielsen ◽  
Martin Kjellgren ◽  
Karina Gottlieb ◽  
...  

2021 ◽  
Vol 19 ◽  
pp. 60-65
Author(s):  
Geert Wortel ◽  
Dave Eekhout ◽  
Emmy Lamers ◽  
René van der Bel ◽  
Karen Kiers ◽  
...  

2021 ◽  
pp. 20210214
Author(s):  
Hanlin Wang ◽  
Ruoxi Wang ◽  
Jiacheng Liu ◽  
Jian Zhang ◽  
Kaining Yao ◽  
...  

Objectives: To develop and evaluate a practical automatic treatment planning method for Intensity-Modulated Radiation Therapy (IMRT) in cervical cancer cases. Methods: A novel algorithm named as Optimization Objectives Tree Search Algorithm (OOTSA) was proposed to emulate the planning optimization process and achieve a progressively improving IMRT plan, based on the Eclipse Scripting Application Programming Interface (ESAPI). Thirty previously treated cervical cancer cases were selected from the clinical database and comparison was made between the OOTSA-generated plans and clinical treated plans and RapidPlan-based (RP) plans. Results: In clinical evaluation, compared with plan scores of the clinical plans and the RP plans, 22 and 26 of the OOTSA plans were considered as clinically improved in terms of plan quality, respectively. The average conformity index (CI) for the PTV in the OOTSA plans was 0.86 ± 0.01 (mean ± 1 standard deviation), better than those in the RP plans (0.83 ± 0.02) and the clinical plans (0.71 ± 0.11). Compared with the clinical plans, the mean doses of femoral head, rectum, spinal cord and right kidney in the OOTSA plans were reduced by 2.34 ± 2.87 Gy, 1.67 ± 2.10 Gy, 4.12 ± 6.44 Gy and 1.15 ± 2.67 Gy. Compared with the RP plans, the mean doses of femoral head, spinal cord, right kidney and small intestine in the OOTSA plans were reduced by 3.31 ± 1.55 Gy, 4.25 ± 3.69 Gy, 1.54 ± 2.23 Gy and 3.33 ± 1.91 Gy, respectively. In the OOTSA plans, the mean dose of bladder was slightly increased, with 2.33 ± 2.55 Gy (versus clinical plans) and 1.37 ± 1.74 Gy (versus RP plans). The average elapsed time of OOTSA and clinical planning were 59.2 ± 3.47 min and 76.53 ± 5.19 min. Conclusions: The plans created by OOTSA have been shown marginally better than the manual plans, especially in preserving OARs. In addition, the time of automatic treatment planning has shown a reduction compared to a manual planning process, and the variation of plan quality was greatly reduced. Although improvement on the algorithm is warranted, this proof-of-concept study has demonstrated that the proposed approach can be a practical solution for automatic planning. Advances in knowledge: The proposed method is novel in the emulation strategy of the physicists’ iterative operation during the planning process. Based on the existing optimizers, this method can be a simple yet effective solution for automated IMRT treatment planning.


NDT World ◽  
2021 ◽  
pp. 64-68
Author(s):  
Alexey Makarov

The article discusses the features of automatic treatment of radiographic films, technological and psychological problems in the transition from manual processing to the use of machines for photographic processing. The chemical features of the development process in photomachines are discussed, typical errors and methods of their elimination are listed, the idea is expressed that it is necessary to control all components of the photomachine processing process. It was concluded that the main problems arising from machining are associated with a human factor: the photomachine exhibits films qualitatively and stably only with a corresponding production culture. The need for the early translation of ISO 11699-2 and the creation of its Russian counterpart was emphasized.


Sign in / Sign up

Export Citation Format

Share Document