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二维逆向计划和临床前图像引导的微辐射器的交付。

Two-dimensional inverse planning and delivery with a preclinical image guided microirradiator.

机构信息

Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3E2, Canada and Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario M5G 2M9, Canada.

出版信息

Med Phys. 2013 Oct;40(10):101709. doi: 10.1118/1.4819935.

Abstract

PURPOSE

Recent advances in preclinical radiotherapy systems have provided the foundation for scaling many of the elements of clinical radiation therapy practice to the dimensions and energy demanded in small animal studies. Such systems support the technical capabilities to accurately deliver highly complex dose distributions, but methods to optimize and deliver such distributions remain in their infancy. This study developed an optimization method based on empirically measured two-dimensional dose kernel measurements to deliver arbitrary planar dose distributions on a recently developed small animal radiotherapy platform.

METHODS

A two-dimensional dose kernel was measured with repeated radiochromic film measurements for the circular 1 mm diameter fixed collimator of the small animal radiotherapy system at 1 cm depth in a solid water phantom. This kernel was utilized in a sequential quadratic programming optimization framework to determine optimal beam positions and weights to deliver an arbitrary desired dose distribution. The positions and weights were then translated to a set of stage motions to automatically deliver the optimized dose distribution. End-to-end efficacy of the framework was quantified through five repeated deliveries of two dosimetric challenges: (1) a 5 mm radius bullseye distribution, and (2) a "sock" distribution contained within a 9 × 13 mm bounding box incorporating rectangular, semicircular, and exponentially decaying geometric constructs and a rectangular linear dose gradient region. These two challenges were designed to gauge targeting, geometric, and dosimetric fidelity.

RESULTS

Optimization of the bullseye and sock distributions required 2.1 and 5.9 min and utilized 50 and 77 individual beams for delivery, respectively. Automated delivery of the resulting optimized distributions, validated using radiochromic film measurements, revealed an average targeting accuracy of 0.32 mm, and a dosimetric delivery error along four line profiles taken through the sock distribution of 3.9%. Mean absolute delivery error across the 0-1 Gy linear dose gradient over 7.5 mm was 0.01 Gy.

CONCLUSIONS

The work presented here demonstrates the potential for complex dose distributions to be planned and automatically delivered with millimeter scale heterogeneity at submillimeter accuracy. This capability establishes the technical foundation for preclinical validation of biologically guided radiotherapy investigations and development of unique radiobiological experiments.

摘要

目的

最近临床放射治疗系统的进步为将许多临床放射治疗实践的元素扩展到小动物研究所需的尺寸和能量提供了基础。这些系统支持精确提供高度复杂剂量分布的技术能力,但优化和提供这些分布的方法仍处于起步阶段。本研究开发了一种基于经验测量的二维剂量核测量的优化方法,用于在最近开发的小动物放射治疗平台上提供任意平面剂量分布。

方法

在固体水模体中,在 1 cm 深度处,使用重复的放射色胶片测量对小动物放射治疗系统的 1 毫米直径固定准直器的二维剂量核进行了测量。该核用于顺序二次规划优化框架中,以确定最佳光束位置和权重,以提供任意所需的剂量分布。然后,将位置和权重转换为一组台架运动,以自动提供优化的剂量分布。通过对两个剂量学挑战的五次重复交付来量化框架的端到端功效:(1)5 毫米半径的靶心分布,(2)包含在 9×13 毫米边界框内的“袜子”分布,其中包含矩形、半圆形和指数衰减的几何结构以及矩形线性剂量梯度区域。这两个挑战旨在评估靶向、几何和剂量学保真度。

结果

优化靶心和袜子分布分别需要 2.1 和 5.9 分钟,并且分别使用 50 和 77 个单独的光束进行输送。使用放射色胶片测量验证的优化分布的自动输送显示出平均靶向精度为 0.32 毫米,并且通过穿过袜子分布的四条线轮廓测量的剂量学输送误差为 3.9%。在 7.5 毫米的 0-1 Gy 线性剂量梯度上,平均绝对输送误差为 0.01 Gy。

结论

本文的工作表明,可以以毫米级的异质性和亚毫米级的精度规划和自动输送复杂剂量分布。这种能力为生物引导放射治疗研究的临床前验证和独特的放射生物学实验的发展奠定了技术基础。

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