Table_1：同步加速器质子笔形束点扫描系统机器运行参数对束流配送时间的影响及其与治疗计划特征相关性的研究数据

数据集获取（Figshare）

• 源站标题：Table_1_Investigation of the impact of machine operating parameters on beam delivery time and its correlation with treatment plan characteristics for synchrotron-based proton pencil beam spot scanning system.docx
• DOI：10.3389/fonc.2022.1036139.s001
• 发布日期：2022-11-10
• 文件数：1 个
• 文件总体积：723.40 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Investigation_of_the_impact_of_machine_operating_parameters_on_beam_delivery_time_and_its_correlation_with_treatment_plan_characteristics_for_synchrotron-based_proton_pencil_beam_spot_scanning_system_docx/21530904

命令行下载

curl -L -o "Table_1_Investigation of the impact of machine operating parameters on beam delivery time and its correlation with treatment plan characteristics for .docx" "https://ndownloader.figshare.com/files/38165586"

文件清单

• Table_1_Investigation of the impact of machine operating parameters on beam delivery time and its correlation with treatment plan characteristics for .docx（723.40 KB）

文件总体积 723.40 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

PurposeTo investigate the beam delivery time (BDT) reduction due to the improvement of machine parameters for Hitachi synchrotron-based proton PBS system.
MethodsBDTs for representative treatment plans were calculated to quantitatively estimate the BDT improvement from our 2015 system at Mayo Clinic in Arizona to our system to be implemented in 2025 at Mayo Clinic in Florida, and to a hypothetical future system. To specifically assess how each incremental improvement in the operating parameters reduced the total BDT, for each plan, we simulated the BDT 10,368 times with various settings of the nine different operating parameters. The effect of each operating parameter on BDT reduction and its correlation with treatment plan characteristics were analyzed. The optimal number of multiple energy extraction (MEE) layers per spill for different systems was also investigated.
ResultsThe median (range) decrease in BDT was 60% (56%-70%) from the 2015 to the 2025 system. The following incremental improvement in parameters of the 2015 system for the 2025 system played an important role in this decreased BDT: beam intensity (8 to 20 MU/s), recapture efficiency (50% to 80%), number of MEE layers per spill (4 to 8), scanning magnet preparation and verification time (1.9 to 0.95 msec), and MEE layer switch time (200 to 100 msec). Reducing the total spill change time and scanning magnet preparation and verification time from those of the 2025 system further reduced BDT in the hypothetical future system. 8 MEE layers per spill is optimal for a system with 50% recapture efficiency; 16 MEE layers per spill is optimal for a system with 80% recapture efficiency; and more than 16 MEE layers per spill is beneficial only for a system close to 100% recapture efficiency.
ConclusionsWe systematically studied the effect of each machine operating parameter on the reduction in total BDT and its correlation with treatment plan characteristics. Our findings will aid new and existing synchrotron-based proton beam therapy centers to make balanced decisions on BDT benefits vs. costs when considering machine upgrade or new system selection.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.1036139.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Investigation_of_the_impact_of_machine_operating_parameters_on_beam_delivery_time_and_its_correlation_with_treatment_plan_characteristics_for_synchrotron-based_proton_pencil_beam_spot_scanning_system_docx/21530904）。