A novel proposition of radiation energy conservation in radiation dose deformation using deformable image registration.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2024-11-20 DOI:10.1088/1361-6560/ad9542
Jihun Kim, Kyungho Yoon, Jun Won Kim, Jin Sung Kim
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Abstract

Objective: The purpose of this study is to analytically derive and validate a novel radiation energy conservation principle for dose mapping via DIR. Approach: A radiation energy conservation principle for the DIR-based dose-deforming process was theoretically derived with a consideration of the volumetric Jacobian and proven using synthetic examples and a patient case. Furthermore, an energy difference error was proposed that can be used to evaluate the DIR-based dose accumulation uncertainty. For the analytical validation of the proposed energy conservation principle, a synthetic isotropic deformation was considered, and artificial deformation uncertainties were introduced. For the validation with a patient case, a ground truth set of CT images and the corresponding deformation was generated. Radiation energy calculation was performed using both the ground truth deformation and another deformation with uncertainty. Main results: The suggested energy conservation principle was preserved with uncertainty-free deformation, but not with error-containing deformations using both the synthetic examples and the patient case. For a synthetic example with a tumor volume reduction of 27.1% (10% reduction in length in all directions), the energy difference error was calculated to be -29.8% and 37.2% for an over-deforming and under-deforming DIR uncertainty of 0.3 cm. The energy difference error for the patient case (tumor volume reduction of 37.6%) was 2.9% for a displacement vector field with a registration error of 2.0 ± 3.2 mm. Significance: A novel energy conservation principle for DIR-based dose deformation and the corresponding energy difference error were mathematically formulated and successfully validated using simple synthetic examples and a patient example. With a consideration of the volumetric Jacobian, this investigation proposed a radiation energy conservation principle which can be met only with uncertainty-free deformations.

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利用可变形图像配准在辐射剂量变形中实现辐射能量守恒的新主张。
研究目的本研究的目的是分析推导并验证通过 DIR 进行剂量映射的新型辐射能量守恒原理:理论上推导出了基于 DIR 的剂量变形过程的辐射能量守恒原理,其中考虑到了容积雅各布因子,并使用合成示例和患者病例进行了验证。此外,还提出了一种能量差误差,可用于评估基于 DIR 的剂量累积不确定性。为了对提出的能量守恒原理进行分析验证,考虑了合成各向同性形变,并引入了人工形变不确定性。为了对患者病例进行验证,生成了一组基本真实的 CT 图像和相应的形变。辐射能量计算同时使用了地面真实形变和另一个不确定形变:在合成示例和患者病例中,建议的能量守恒原则在无不确定性变形中得以保留,而在含误差变形中则无法保留。对于肿瘤体积缩小 27.1%(所有方向的长度均缩小 10%)的合成示例,计算出的能量差误差分别为-29.8%和 37.2%,其中过变形和欠变形 DIR 的不确定性分别为 0.3 厘米。患者病例(肿瘤体积缩小 37.6%)的能量差误差为 2.9%,位移矢量场的配准误差为 2.0 ± 3.2 毫米:针对基于 DIR 的剂量变形提出了新的能量守恒原理和相应的能量差误差,并通过简单的合成示例和患者示例进行了成功验证。考虑到容积雅各布,这项研究提出了辐射能量守恒原理,该原理只有在无不确定性变形的情况下才能实现。
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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