Robust treatment planning for small animal radio‐neuromodulation using focused kV x‐ray beams
Authors: Qiu Chenhui , Gu Wenbo , Yan Huagang , Sun Weiyuan , Wang Yuanyuan , Wen Qiang , Sheng Ke , Liu Wu 
Published: March 2024

Background

In preclinical radio‐neuromodulation research, small animal experiments are pivotal for unraveling radiobiological mechanism, investigating prescription and planning techniques, and assessing treatment effects and toxicities. However, the target size inside a rat brain is typically in the order of sub‐millimeters. The small target inside the visual cortex neural region in rat brain with a diameter of around 1 mm was focused in this work to observe the physiological change of this region. Delivering uniform doses to the small target while sparing health tissues is challenging. Focused kV x‐ray technique based on modern x‐ray polycapillary focusing lens is a promising modality for small animal radio‐neuromodulation.

Purpose

The current manual planning method could lead to sub‐optimal plans, and the positioning uncertainties due to mechanical accuracy limitations, animal immobilization, and robotic arm motion are not considered. This work aims to design a robust inverse planning method to optimize the intensities of focused kV x‐ray beams located in beam trajectories to irradiate small mm‐sized targets in rat brains for radio‐neuromodulation.

Methods

Focused kV x‐ray beams were generated through polycapillary x‐ray focusing lenses on achieving small (≤0.3 mm) focus perpendicular to the beam. The beam trajectories were manually designed in 3D space in scanning‐while‐rotating mode. Geant4 Monte Carlo (MC) simulation generated a dose calculation matrix for each focused kV x‐ray beam located in beam trajectories. In the proposed robust inverse planning method, an objective function combining a voxel‐wise stochastic programming approach and L1 norm regularization was established to overcome the positioning uncertainties and obtain a high‐quality plan. The fast iterative shrinkage thresholding algorithm (FISTA) was utilized to solve the objective function and obtain the optimal intensities. Four cases were employed to validate the feasibility and effectiveness of the proposed method. The manual and non‐robust inverse planning methods were also implemented for comparison.

Results

The proposed robust inverse planning method achieved superior dose homogeneity and higher robustness against positioning uncertainties. On average, the clinical target volume (CTV) homogeneity index (HI) of robust inverse plan improved to 13.3 from 22.9 in non‐robust inverse plan and 53.8 in manual plan if positioning uncertainties were also present. The average bandwidth at D90 was reduced by 6.5 Gy in the robust inverse plan, compared to 9.6 Gy in non‐robust inverse plan and 12.5 Gy in manual plan. The average bandwidth at D80 was reduced by 3.4 Gy in robust inverse plan, compared to 5.5 Gy in non‐robust inverse plan and 8.5 Gy in manual plan. Moreover, the dose delivery time of manual plan was reduced by an average reduction of 54.7% with robust inverse plan and 29.0% with non‐robust inverse plan.

Conclusion

Compared to manual and non‐robust inverse planning methods, the robust inverse planning method improved the dose homogeneity and delivery efficiency and was resistant to the uncertainties, which are crucial for radio‐neuromodulation utilizing focused kV x‐rays.