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Yusuke Anetai

Publications and source records attributed to Yusuke Anetai.

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Quantum Generalized Equivalent Uniform Dose (QgEUD): A Simulation Method for Phase-Dependent Radiobiological Dose Effects

The generalized equivalent uniform dose (gEUD) provides a biologically interpretable measure of heterogeneous dose distributions and is widely used in radiobiological modeling. However, because gEUD depends solely on dose magnitude, it does not explicitly account for collective cellular interactions or phase-dependent biological responses. Here, we propose a quantum generalized equivalent uniform dose (QgEUD), which extends the conventional gEUD kernel into the complex domain by introducing a phase variable while preserving the original dose-weighting formalism. This formulation yields a two-dimensional response surface that recovers conventional gEUD on the real axis and incorporates interaction-dependent radiobiological effects through phase modulation. The local response of the surface is characterized by a K\"ahler metric, providing an intrinsic measure of sensitivity to dose weighting and phase perturbations. To demonstrate the framework, local dose elements are modeled by an Ising Hamiltonian with dose- and phase-dependent interactions, and equilibrium response maps are obtained using Metropolis Monte Carlo simulations. Simulations in a virtual radiotherapy phantom preserve the overall dose distribution while producing spatially modulated biological-effect maps governed by collective interactions. The corresponding K\"ahler response identifies regions exhibiting enhanced sensitivity beyond dose magnitude alone, and parameter sensitivity analysis confirms stable convergence under practical simulation conditions. These results establish QgEUD as a quantum-inspired extension of gEUD that integrates heterogeneous dose aggregation, phase-dependent interactions, and geometric response within a unified mathematical framework, providing a basis for interaction-aware radiobiological modeling and future quantum-compatible optimization.

physics.med-ph

A feasible dose-volume estimation of radiotherapy treatment with optimal transport using a concept for transportation of Ricci-flat time-varying dose-volume

In radiotherapy, the dose-volume histogram (DVH) curve is an important means of evaluating the clinical feasibility of tumor control and side effects in normal organs against actual treatment. Fractionation, distributing the amounts of irradiation, is used to enhance the treatment effectiveness of tumor control and mitigation of normal tissue damage. Therefore, dose and volume receive time-varying effects per fractional treatment event. However, the difficulty of DVH superimposition of different situations prevents evaluation of the total DVH despite different shapes and receiving dose distributions of organs in each fraction. However, an actual evaluation is determined traditionally by the initial treatment plan because of summation difficulty. Mathematically, this difficulty can be regarded as a kind of optimal transport of DVH. For this study, we introduced DVH transportation on the curvilinear orthogonal space with respect to arbitrary time ($T$), time-varying dose ($D$), and time-varying volume ($V$), which was designated as the TDV space embedded in the Riemannian manifold.Transportation in the TDV space should satisfy the following: (a) the metrics between dose and volume must be equivalent for any fractions and (b) the cumulative characteristic of DVH must hold irrespective of the lapse of time. With consideration of the Ricci-flat condition for the $D$-direction and $V$-direction, we obtained the probability density distribution, which is described by Poisson's equation with radial diffusion process toward $T$. This geometrical requirement and transportation equation rigorously provided the feasible total DVH.

physics.med-ph