Essays about: "radiotherapy treatment planning"

Showing result 1 - 5 of 54 essays containing the words radiotherapy treatment planning.

  1. 1. Deep Learning for Dose Prediction in Radiation Therapy : A comparison study of state-of-the-art U-net based architectures

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Maja Arvola; [2021]
    Keywords : Radiotherapy; Machine learning; Dose prediction; U-net;

    Abstract : Machine learning has shown great potential as a step in automating radiotherapy treatment planning. It can be used for dose prediction and a popular deep learning architecture for this purpose is the U-net. Since it was proposed in 2015, several modifications and extensions have been proposed in the literature. READ MORE

  2. 2. Investigation of a Collapsed Cone Superposition Algorithm for dosimetry in brachytherapy

    University essay from Stockholms universitet/Fysikum

    Author : Freja Alpsten; [2021]
    Keywords : Brachytherapy; Collapsed Cone; Model-Based Dose Calculation Algorithms; Radiotherapy;

    Abstract : Background & Purpose: The current standard dosimetry in brachytherapy treatment planning, the TG-43 formalism, ignore the presence of non-water media and finite patient dimensions. This can cause clinically relevant errors in dose estimates. READ MORE

  3. 3. Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation

    University essay from Lunds universitet/Matematik LTH

    Author : Jonas Berg; [2021]
    Keywords : CT; CBCT; Deep Learning; Medical Image Segmentation; Radiotherapy; Domain Adaptation; CycleGAN; Domain Adversarial Neural Network; U-Net; Data Augmentation; Machine Learning; Technology and Engineering;

    Abstract : Computed tomography (CT) segmentation models are frequently used within radiotherapy treatment planning, but similar models are not available to the related imaging modality cone beam computed tomography (CBCT) due to the scarcity of labeled data from this domain. Such models could have multiple clinical applications whereby it is of interest to study whether the CT segmentation models can be adapted to generalize to the CBCT domain. READ MORE

  4. 4. Clinical dose feature extraction for prediction of dose mimicking parameters

    University essay from KTH/Matematik (Avd.)

    Author : Anton Finnson; [2021]
    Keywords : Radiation therapy; feature extraction; wavelets; treatment planning; dose mimicking; variational autoencoder; Strålterapi; wavelets; doshärmning;

    Abstract : Treating cancer with radiotherapy requires precise planning. Several planning pipelines rely on reference dose mimicking, where one tries to find machine parameters best mimicking a given reference dose. Dose mimicking relies on having a function that quantifies dose similarity well, necessitating methods for feature extraction of dose images. READ MORE

  5. 5. Monte-Carlo computations of dose distributions for magnetic resonance guided radiotherapy

    University essay from Uppsala universitet/FREIA

    Author : Claes Fälth; [2021]
    Keywords : Radiotherapy; MRgRT;

    Abstract : The goal with radiotherapy is to damage tumour cells with ionizing radiation while minimizing radiation to healthy tissue. In recent years magnetic resonance guided radiotherapy has become increasingly popular. With this technique a magnetic resonance image of the patient anatomy is obtained in connection with the treatment session. READ MORE