Essays about: "radiotherapy treatment planning"

Showing result 16 - 20 of 67 essays containing the words radiotherapy treatment planning.

  1. 16. 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

  3. 17. 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

  4. 18. 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

  5. 19. Deep-learning based prediction model for dose distributions in lung cancer patients

    University essay from Stockholms universitet/Fysikum

    Author : Terese Hellström; [2021]
    Keywords : ;

    Abstract : Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. READ MORE

  6. 20. Evaluation of margins and plan robustness for proton therapy of unilateral tonsil cancer.

    University essay from Umeå universitet/Institutionen för fysik; Umeå universitet/Institutionen för strålningsvetenskaper

    Author : Josefine Grefve; [2021]
    Keywords : ;

    Abstract : During proton therapy both target volumes and healthy tissue, including organs at risk (OARs), receives radiation dose. Thus, radiotherapy is a trade-off between good target coverage and OAR sparing. For protons, most of the dose is deposited right before it is stopped, a phenomenon termed the Bragg peak. READ MORE