Essays about: "Dose Volume Histogram in Radiation Therapy"

Showing result 1 - 5 of 9 essays containing the words Dose Volume Histogram in Radiation Therapy.

  1. 1. osimetric impact of system spe cific geometric distortion on head and neck treatment plans in MRI only based radiation therapy

    University essay from

    Author : Jesper Brovall; [2022-01-13]
    Keywords : Medical physics; Dosimetry; MRI; Radiation therapy;

    Abstract : Background/ purpose: Because of the superior soft tissue contrast, in comparison with computed tomography (CT) data, magnetic resonance imaging (MRI) is of high interest to include in a larger extent in the ra diation therapy (RT) process. In an MRI only workflow, the CT scan is excluded and a synthetic CT is used for treatment plan ning. READ MORE

  3. 2. COMPARISON OF MULTI-CRITERIA OPTIMIZATION IN TWO DIFFERENT TREATMENT PLANNING SYSTEMS

    University essay from

    Author : Anna Lindström; [2021-05-10]
    Keywords : Medical physics; Multi-criteria optimization; Pareto front; volumetric modulated arc therapy; head and neck cancer; prostate cancer;

    Abstract : Purpose: The purpose with this study was to compare multi-criteria optimization (MCO) for volumetric modulated arc therapy (VMAT) treatment plans in two different treatment planning systems. Theory: When performing treatment planning prior to radiation therapy it is important to prioritize between absorbed dose to target and absorbed dose to organs at risk (OAR). READ MORE

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

    University essay from KTH/Matematisk statistik

    Author : Ivar Eriksson; [2020]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Direct optimization of dose-volume histogram metrics in intensity modulated radiation therapy treatment planning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Tianfang Zhang; [2018]
    Keywords : Optimization; intensity-modulated radiation therapy; DVH functions; dose-at-volume; volume-at-dose; value-at-risk; smooth approximation; kernel density estimation; fluence map optimization; Optimering; intensitetsmodulerad strålterapi; DVH-funktioner; dose-at-volume; volumeat- dose; value-at-risk; slätapproximation; ickeparametrisk skattning; fluensoptimering;

    Abstract : In optimization of intensity-modulated radiation therapy treatment plans, dose-volumehistogram (DVH) functions are often used as objective functions to minimize the violationof dose-volume criteria. Neither DVH functions nor dose-volume criteria, however,are ideal for gradient-based optimization as the former are not continuously differentiableand the latter are discontinuous functions of dose, apart from both beingnonconvex. READ MORE

  6. 5. Investigation of the prognostic value of CT and PET-based radiomic image features in oropharyngeal squamous cell carcinoma

    University essay from Lunds universitet/Medicinsk strålningsfysik, Lund; Lunds universitet/Sjukhusfysikerutbildningen

    Author : Mohammed Mosad Said; [2016]
    Keywords : Medicine and Health Sciences;

    Abstract : Background Medical data in the form of radiographic routine scans is steadily accumulating. The analysis of such data through automated quantitative methods is believed to produce new information which would allow for more personalization of therapy. The present thesis investigated the use of such methods in head and neck cancer. READ MORE