University of Science and Technology of China

Accurate and efficient dose calculation remains a major challenge in boron neutron capture therapy (BNCT) due to the complexity of neutron transport and the contribution of secondary particles. Conventional Monte Carlo (MC) methods are often too computational...

External-beam therapy now includes various particles such as photons, protons, carbon ions and recently neutrons in Boron Neutron Capture Therapy (BNCT). Accurate and speedy dose calculational algorithms are intergral to the clinical workflow of treatment pla...

Boron Neutron Capture Therapy (BNCT) centers are rapidly increasing worldwide due to recent clinical trials and accelerator-based neutron irradiation systems. However, unlike external photon irradiations, BNCT lacks real-time neutron beam monitoring for quali...

Although the number of proton centers continues to rise worldwide, rapid methods for commissioning and dose verification are still lacking. To evaluate the performance of a GPU-accelerated Monte Carlo (MC) dose computational framework for patient-specific pla...

To develop a data-efficient, unsupervised deep learning framework for deformable SPECT/CT registration that supports voxel-based dosimetry in radionuclide therapy, particularly in clinical settings with limited imaging datasets.

Targeted Alpha Therapy (TAT) requires precise microdosimetry due to heterogeneous source distributions and complex Relative Biological Effectiveness (RBE) modeling. However, Monte Carlo (MC) simulations for microdosimetry suffer from slow convergence and heav...

Intensity-modulated brachytherapy (IMBT) is an innovative technique aimed at achieving anisotropic dose distributions in brachytherapy. This study develops a fast dosimetric optimization method specifically for IMBT plans in cervical cancer.