Sökning: "radiotherapy treatment planning"

Visar resultat 21 - 25 av 67 uppsatser innehållade orden radiotherapy treatment planning.

  1. 21. Quality assurance of a radiotherapy registry

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Linnea Sandberg; [2020]
    Nyckelord :Radiotherapy; Treatment Planning System; Quality Assurance; Information Network for Cancer Care; INCA;

    Sammanfattning : The radiotherapy clinics in Sweden have been without a functioning national platform consisting of dose data from patients undergoing radiotherapy. A national collaboration between clinics will improve the quality of radiotherapy since clinics will be able to compare dose data from treatment plans between clinics. LÄS MER

  3. 22. Feasibility of adaptive SBRT of prostate cancer: Investigating uncertainties in AI-driven and CBCT-guided online adaptive radiotherapy

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Sevgi Emin; [2020]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Purpose: Recent developments in external radiotherapy and its utilization with artificial in- telligence (AI) enables advanced treatment plans for a range of different disease sites. By adapting to the anatomy of the day, target coverage can be ensured while sparing more healthy tissue. LÄS MER

  4. 23. Analysis of bladder cancer treatment plans generated for online adaptive radiotherapy and validation of an integrated independent dose calculation software

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Daria Badika; [2020]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Purpose: In 2019 Varian EthosTM linear accelerator (Varian Medical Systems, CA, USA) with integrated artificial intelligence (AI) was installed at Herlev Hospital, Copenhagen, Denmark, enabling online adaptive radiotherapy (oART) e.g for bladder cancer patients with a large margin reduction. LÄS MER

  5. 24. Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ivar Eriksson; [2020]
    Nyckelord :Radiation therapy; automated planning; machine learning; autoencoder; distance optimisation; sparse pseudo-input Gaussian process; kernel density estimation; dose mimicking; dose–volume histogram; Strålbehandling; automatiserad dosplanering; maskininlärning; autoencoder; distansoptimering; glesa Gaussiska processer; sannolikhets-fördelnings-estimering; dosrekonstruktion; dos–volymhistogram;

    Sammanfattning : Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. LÄS MER

  7. 25. Simulating Patient Flows in a Cancer Clinic

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Christian Lejdström; [2020]
    Nyckelord :Discrete Event Simulation Radiotherapy; Medicine and Health Sciences;

    Sammanfattning : Planning resources in cancer care is difficult due to system complexity, varying resource availability and uncertain demand. It has become so complex that the analysis of treatment processes in cancer clinics cannot be done analytically [12]. Therefore, in this thesis a model of a cancer clinic is developed using discrete event simulation. LÄS MER