Feasibility study on the integration of a deep learning dose computation algorithm in an automated proton therapy treatment planning system

The dose computation algorithm, or dose engine, is one of the fundamental parts of radiotherapy treatment planning. These algorithms predict how the dose will be distributed inside the patient.<br/>Current dose engines are mainly based on either Monte Carlo simulations (MC) or pencil beam algorithms (PBA). MC being very precise, but relatively...

Modeling ray angles in deep learning based dose calculation algorithms

A fundamental tool in radiotherapy treatment planning is the dose calculation algorithm, which models the dose that will be distributed for given beam parameters and patient geometry. Various available algorithms include Monte Carlo simulations (MC) and pencil beam algorithms (PBA), with the former being computationally expensive but offering...

Implementing beam shape variations in a deep learning based proton dose calculation algorithm

In this report, a transformer based deep learning proton dose calculation algorithm called Dose Transformer Algorithm (DoTA) is described. This model learns to predict proton dose distributions by being trained with Monte Carlo generated data. Monte Carlo is the golden standard of proton dose calculation because it is very accurate, but it has...

Quantifying secondary particle dose contributions in proton therapy

In order to create radiotherapy treatment plans for cancer patients, dose calculations need to be done as quickly as possible to get accurate results. However, current dose calculation algorithms take too much time to be deployed effectively. The current in house algorithm of the Medical Physics and Technology Section at the TU Delft, attempts...

Proton Therapy Dose Calculations Using A Transformer Deep Learning Algorithm

Proton therapy is a great way to treat cancer, since protons can concentrate energy on one single spot, which minimises the irradiated healthy tissue. Because of this property protons are sensitive to uncertainties. Since the tumour is not stationary throughout the treatment, multiple scans are essential. With the current dose calculation...

Exploring QA methods for realtime MRI guided radiotherapy

Purpose:The MR-linac is a novel hybrid system that is used in radiotherapy (RT) and combines irradiation with MR imaging. Novel adaptive image-guided radiotherapy techniques are developed for this machine. However, new qualityassurance (QA) techniques are required that check if the (adapted) planned radiation dose is the same as the dose given...

Gd-PSMA Neutron Capture Therapy: A computational feasibility and method development study

Dose Calculation in Proton Therapy using Finite Element Methods to solve the Fokker-Planck Transport Equation

In proton therapy the development of dose calculation methods is of great importance<br/>to optimize the dose. In this work a method is presented to solve the Fokker-Planck<br/>transport equation using ray-tracing techniques and nite element methods.<br/>The idea of the method is dividing the Fokker-Planck equation in two seperate equa-<br/...