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  • 1.
    Eghbali, Ladan
    KTH, School of Technology and Health (STH).
    The impact of defective ultrasound transducers on the evaluation results of ultrasound imaging of blood flow2014Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Following X-Ray, Ultrasound is now the most common of all the medical imaging technologies specifically in obstetrics and cardiology. Plus that the ultrasound hazards perceived to be insignificant compared with X-rays. Considering the fact that the study of cardiovascular diseases, blood flow patterns and the fetal development is essential for human life, the accuracy and proper functioning of ultrasonic systems is of great importance. Hence quality control of ultrasonic transducers is necessary.

    In this thesis, a system to standardize the acceptance criteria for quality control of ultrasonic transducers is described. On this ground a study on ultrasound images conducted to compare and evaluate the quality resulted from different types of transducers in different conditions, i.e. defective or functional.

    A clinical study was also carried out to evaluate our hypothesis in real cases at department of Cardiology and department of genecology. Results from this study show that the perception of quality is somewhat subjective and clinical studies are time-consuming. But quality factors such as the ability to accurately identify anatomical structure and functional capabilities are of great importance and help.

  • 2.
    Friedrich, Anja
    KTH, School of Technology and Health (STH).
    A new seeding and conditioning reactor for vascular tissue engineering2011Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
  • 3.
    Grishenkov, Dmitry
    KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, MWL Ultrasound. KTH, School of Technology and Health (STH), Medical Engineering.
    Diagnostic Power of Different Tissue Doppler Parameters during Ultrasound Cardio-Vascular Investigation2007Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The department of Medical Technology, where I have done Master thesis project, develops and researches new method and technique within areas where ultrasound can be used to obtain the image of anatomical structure, functional capabilities and to suggest required treatment.

    Nowadays cardio-vascular diseases, such as infarct, atherosclerosis and ischemic syndrome, are one of the most widespread diseases in the world that’s why timely detection, identification and treatment are so important.

    The Master of Science qualification report consists 3 major parts: Medico-biological part, Design and Research parts.

    In Medico-biological part has been analyzed anatomical and physiological structure of the heart, current status of echocardiography with comparing with other techniques, summary of ultrasound methods with list of parameters that can be achieved is presented.

    In Design part has been developed new graphical modality based on Delta-V pump model using vector based statistical analysis for identification patients with ischemia. Software algorithm for automatically determine characteristic points for state diagram written in MatLab has been developed and implemented.

    In Research part in the first task using commercially available software based on Principal Component Analysis collected data from the hospital patients has been studied, results proved hypothesis concerning time variables importance; in the second task graphical module has been examined using collected data from the hospital patients both normal and with different cardio-vascular disease, and the results show good detection power of the algorithm.

    At the end of the project presentation has been done and report has been published.

    This project has been done in collaboration with the biggest medical institute in Sweden – Karolinska Institute - and results will be used in medical practice in Karolinska University Hospital in Huddinge and for future scientific needs.

     

  • 4.
    Hansen, Lisa
    KTH, School of Technology and Health (STH).
    Evolution of a galvanotaxis chamber and an introductory study of the important parameters2010Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
  • 5.
    Iveroth, Solveig
    KTH, School of Technology and Health (STH).
    Framtagning av personas för analys av Reumatologiska klinikens (Karolinska Universitetssjukhuset) patientunderlag2012Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Abstract

    Personas are fictional users which are defined by their goals, and are often used to represent a specific group of people. The purpose of this study consisted of creating personas in order to analyze the patients of the Karolinska University hospital´s Rheumatology clinic. This study’s aim was to create a more patient-centered healthcare, and to give focus to the patients’ goals and needs. The assignment is an inquiry from CTMH, and is performed in collaboration with Karolinska University hospital and Clinical Innovation Fellowships.

                          The process started with a literature study, followed by developing and submitting an application for ethical vetting. The next step was to interview some of the personnel of Karolinska University hospital that had experience with patients suffering from a rheumatic disease. This was done in order to get a background before the next phase of the project took place: interviewing patients. The scope of the study was limited to only including patients suffering from the rheumatic disease Rheumatoid arthritis (RA). Based on the interviews done with patients, a survey was created and sent out to 200 randomly selected patients with RA. The result of the survey was then used in several cluster analyzes, which divided the patients into groups based on their answers. The groups from these analyzes that gave the clearest division and the most interesting answers were then selected.

                          The results consisted of four personas which were evaluated by a focus group. The conclusion of the results and the evaluation was that the personas created are easy to recognize and well usable. The four personas are a good tool for analyzing the patients of the Rheumatology clinic, and are a step towards placing the patients’ goals and needs as key elements in the healthcare of today.

  • 6.
    Javanshir Moghaddam, Mandana
    KTH, School of Technology and Health (STH), Medical Engineering.
    Coupled Curves Segmentation2012Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    In this thesis, we proposed distance enforced penalized (DEeP) random walks segmentation framework to delineate coupled boundaries by modifying classical random walks formulations. We take into account curves inter-dependencies and incorporate associated distances into weight function of conventional random walker. This effectively leverages segmentation of weaker boundaries guided by stronger counterparts, which is the main advantage over classical random walks techniques where the weight function is only dependent on intensity differences between connected pixels, resulting in unfavorable outcomes in the context of poor contrasted images. First, we applied our developed algorithm on synthetic data and then on cardiac magnetic resonance (MR) images for detection of myocardium borders. We obtained encouraging results and observed that proposed algorithm prevents epicardial border to leak into right ventricle or cross back into endocardial border that often observe when conventional random walker is used. We applied our method on forty cardiac MR images and quantified the results with corresponding manual traced borders as ground truths. We found the Dice coefficients 70%   14% and 43% ±14% respectively for distance penalized random walks and conventional one.

  • 7.
    Monnot, Cyril
    KTH, School of Technology and Health (STH), Medical Engineering.
    Development of a data analysis platform for characterizing functional connectivity networks in rodents2013Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    AbstractThis document addresses the development and implementation of a routine for analyzing resting-state functional Magnetic Resonance Imaging (rs-fMRI) data in rodents. Even though resting-state connectivity is studied in humans already for several years with diverse applications in mental disorders or degenerative brain diseases, the interest for this modality is much more recent and less common in rodents. The goal of this project is to set an ensemble of tools in order to be able for the experimental MR team of KERIC to analyze rs-fMRI in rodents in a well defined and easy way. During this project several critical choices have been done, one of them is to use the Independent Component Analysis (ICA) in order to process the data rather than a seed-based approach. Also it was decided to use medetomidine as anesthesia rather than isoflurane for the experiments. The routine developed during this project was applied for a project studying the effects of running on an animal model of depression. The routine is composed of several steps, the preprocessing of the data mainly realized with SPM8, the processing using GIFT and the postprocessing which is some statistic tests on the results from GIFT in order to reveal differences between groups using the 2nd level analysis from SPM8 and the testing the correlations between components using the FNC toolbox.

     

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