Essays about: "dose mimicking"

Found 5 essays containing the words dose mimicking.

  1. 1. Scenario dose prediction for robust automated treatment planning in radiation therapy

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oskar Eriksson; [2021]
    Keywords : Radiation therapy; automated treatment planning; scenario dose prediction; robust optimization; dose mimicking; Strålterapi; automatisk behandlingsplanering; scenariodosprediktion; robust optimering; dosåterskapande;

    Abstract : Cancer is a group of diseases that are characterized by abnormal cell growth and is considered a leading cause of death globally. There are a number of different cancer treatment modalities, one of which is radiation therapy. READ MORE

  3. 2. 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. 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. Machine learning multicriteria optimization in radiation therapy treatment planning

    University essay from KTH/Matematisk statistik

    Author : Tianfang Zhang; [2019]
    Keywords : Radiation therapy; automated planning; machine learning; multicriteria optimization; dose mimicking; dose--volume criteria; Gaussian mixture model; expectation--maximization; exponential tilting; Strålterapi; automatisk planering; maskininlärning; flermålsoptimering; dosåterskapande; dos--volym-kriterier; gaussisk blandningsmodell; förväntning--maximering; exponentiell lutning;

    Abstract : In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. READ MORE

  6. 5. Development of an animal in vivo 124-I-MicroPET/MicroCAT imaging model of the thyroid

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Martin Emanuelsson; [2007]
    Keywords : Nukleärmedicin; Medicine and Health Sciences;

    Abstract : Introduction: To our knowledge a biomedical model for validation of combined MicroPET/MicroCAT studies of the thyroid with 124I has not yet been developed. Such an in vivo physiological rat model could be of great interest for enhancing the possibilities of studying common thyroid diseases realistically and repeatedly. READ MORE