Suppr超能文献

研究 AlignRT InBore™ 同校准过程的稳健性并确定整体跟踪误差。

Investigating the robustness of the AlignRT InBore™ co-calibration process and determining the overall tracking errors.

机构信息

ORLAM group, Department of Radiation Oncology, 44 rue Ambroise Paré, 71000 Mâcon, France.

ORLAM group, Department of Radiation Oncology, 44 rue Ambroise Paré, 71000 Mâcon, France.

出版信息

Phys Med. 2023 Apr;108:102567. doi: 10.1016/j.ejmp.2023.102567. Epub 2023 Mar 28.

Abstract

OBJECTIVE

To determine the overall tracking errors inherent to the co-calibration procedure of AlignRT InBore™'s (Vision RT Ltd., London, UK) ceiling-mounted and ring-mounted cameras.

METHODS

Extrinsic calibration errors related to the mismatch between ceiling and InBore cameras' isocentres and treatment isocentre were determined using MV images and the SRS package and compared to traditional plate-based error. Next, using a realistic anthropomorphic female phantom, intrinsic calibration errors were determined while varying source-skin distance (80 to 100 cm), breast board inclination (0° to 12.5°), room lighting conditions (0 to 258 lx), skin colour (dark, white and natural skin colour), and pod occlusion.

RESULTS

MV images of the cube proved plate-based calibration to suffer from large errors especially in the vertical direction (up to 2 mm). Intrinsic calibration errors were considerably lower. Indeed, RTD values of ceiling and InBore cameras showed little variability with isocentre depth (within 1.0 mm/0.4°), surface orientation and breast board inclination (within 0.7 mm/0.3°), changing lighting conditions (within 0.1 mm/0.2°), skin colour/tone (within 0.3 mm/0.3°) and camera pod occlusion (within 0.3 mm/0.2°).

CONCLUSION

The use of MV-images proved critical to maintain co-calibrating errors of ceiling and InBore cameras to Halcyon's treatment isocentre below 1 mm.

摘要

目的

确定 AlignRT InBore™(英国伦敦 Vision RT 有限公司)的天花板安装和环形安装摄像头的共校准过程中固有的总体跟踪误差。

方法

使用 MV 图像和 SRS 软件包确定与天花板和 InBore 相机等中心不匹配相关的外部校准误差,并与传统的基于平板的误差进行比较。接下来,使用逼真的女性人体模型,在改变源皮距(80 至 100cm)、乳房板倾斜度(0°至 12.5°)、房间照明条件(0 至 258lx)、皮肤颜色(深色、白色和自然肤色)和 Pod 遮挡的情况下,确定固有校准误差。

结果

立方体形 MV 图像表明,基于平板的校准会产生很大的误差,尤其是在垂直方向(高达 2mm)。固有校准误差要低得多。实际上,天花板和 InBore 相机的 RTD 值显示出与等中心深度(在 1.0mm/0.4°以内)、表面方向和乳房板倾斜度(在 0.7mm/0.3°以内)、变化的照明条件(在 0.1mm/0.2°以内)、皮肤颜色/色调(在 0.3mm/0.3°以内)和相机 Pod 遮挡(在 0.3mm/0.2°以内)的变化几乎没有变化。

结论

使用 MV 图像对于将天花板和 InBore 相机的共校准误差保持在 Halcyon 治疗等中心以下 1mm 至关重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验