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Showing result 1 - 5 of 9 essays matching the above criteria.

  1. 1. A Phantom Based Comparison of Image Segmentation Algorithms for Adaptive Functional Volume Determination of the Thyroid Gland using SPECT

    University essay from Stockholms universitet/Fysikum

    Author : Henrik Berg; [2021]
    Keywords : Hyperthyroidism; Nuclear Medicine; SPECT; Functional Volume; Phantom Study; Adaptive Image Segmentation; Thresholding; Region Growing;

    Abstract : Background One of the most used treatments for hyperthyroidism, is therapy with radioactive iodine (131I), which is accumulated in the thyroid gland. To determine the activity of 131I to be administered for a certain absorbed dose, the volume of the gland is of great importance but the historically used methods for estimating the functional volume of the gland are based on large approximations. READ MORE

  3. 2. Evaluation of Methods for Person Re-identification between Non-overlapping Surveillance Cameras

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Henrik Nilsson; [2021]
    Keywords : Person-återidentifiering; djupinlärning; maskininlärning; bildbehandling;

    Abstract : This thesis describes a comparison of several state-of-the-art methods used for re-identification of a person between several non-overlapping views captured by surveillance cameras. Since 2014, the focus of the area of person re-identification has been heavily oriented towards approaches employing the use of neural network due to the increase in performance shown from this approach. READ MORE

  4. 3. Aortic Segmentation in Real-Time Flow Exercise Cardiac Magnetic Resonance Images using Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Mathilda Larsson; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Background: Cardiovascular disease is common and it is therefore important to have tools to investigate pathophysiology and normal physiology of the cardiovascular system. One such tool is using cardiovascular magnetic resonance in order to measure blood flow in vessels, particularly while the participant imaged is exercising. READ MORE

  5. 4. Differences in tumor volume for treated glioblastoma patients examined with 18F-fluorothymidine PET and contrast-enhanced MRI

    University essay from Umeå universitet/Institutionen för fysik

    Author : Karolina Hedman; [2020]
    Keywords : PET MRI; positron emission tomography; magnetic resonance imaging; brain tumor; glioblastoma; image segmentation; adaptive thresholding; feature extraction; radiotracer; gadolinium; image processing; image analysis;

    Abstract : Background: Glioblastoma (GBM) is the most common and malignant primary brain tumor. It is a rapidly progressing tumor that infiltrates the adjacent healthy brain tissue and is difficult to treat. Despite modern treatment including surgical resection followed by radiochemotherapy and adjuvant chemotherapy, the outcome remains poor. READ MORE

  6. 5. Classification of skin pixels in images : Using feature recognition and threshold segmentation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Emil Samuelsson; [2018]
    Keywords : ;

    Abstract : The purpose of this report is to investigate and answer the research question: How can current skin segmentation thresholding methods be improved in terms of precision, accuracy, and efficiency by using feature recognition, pre- and post-processing? In this work, a novel algorithm is presented for classification of skin pixels in images. Different pre-processing methods were evaluated to improve the overall performance of the algorithm. READ MORE