Search for dissertations about: "PET segmentation methods"

Showing result 1 - 5 of 10 swedish dissertations containing the words PET segmentation methods.

  1. 1. Quantitative methods for tumor imaging with dynamic PET

    Author : Ida Häggström; Anne Larsson; Mikael Karlsson; Lennart Johansson; Jens Sörensen; Magnus Dahlbom; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Dynamic positron emission tomography; PET; tumor imaging; compartment modeling; Monte Carlo; radiofysik; radiation physics;

    Abstract : There is always a need and drive to improve modern cancer care. Dynamic positron emission tomography (PET) offers the advantage of in vivo functional imaging, combined with the ability to follow the physiological processes over time. READ MORE

  2. 2. Segmentation and Visualisation of Human Brain Structures

    Author : Roger Hult; Ewert Bengtsson; Lennart Thurfjell; Håkan Hall; Ingrid Agartz; Arvid Lundervold; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bildanalys; segmentation; visualisation; brain; cortex; hippocampus; autoradiography; MRI; PET; ROI; Bildanalys; Image analysis; Bildanalys; Computerized Image Analysis; datoriserad bildanalys;

    Abstract : In this thesis the focus is mainly on the development of segmentation techniques for human brain structures and of the visualisation of such structures. The images of the brain are both anatomical images (magnet resonance imaging (MRI) and autoradigraphy) and functional images that show blood flow (functional magnetic imaging (fMRI), positron emission tomography (PET), and single photon emission tomograpy (SPECT)). READ MORE

  3. 3. Methodological aspects of quantitative cardiac molecular imaging

    Author : Tanja Kero; Mark Lubberink; Håkan Ahlström; Elin Trägårdh; Uppsala universitet; []
    Keywords : PET; cardiac amyloidosis; 11C-PIB; retention index; standardized uptake value; PET-MR; MRI; myocardial blood flow; 15O-water; quantification; quantitative modeling;

    Abstract : The objective of this research was to facilitate the use of quantitative cardiac molecular imaging by developing and validating methods and applications. More specifically:we determined the optimal tracer kinetic model for analysis of 11C-PIB and evaluated the performance of two simpler measures, retention index (RI) and standardized uptake value (SUV), in the quantification of cardiac 11C-PIB uptake in amyloidosis. READ MORE

  4. 4. Quantitative cardiac 15O-water PET : Assessment of left-ventricular function, remodeling, and impact of patient motion

    Author : Jonny Nordström; Mark Lubberink; Jens Sörensen; Hendrik J Harms; Stephan Nekolla; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; positron emission tomography PET ; 15O-water; myocardial blood flow; cardiac remodeling; patient motion;

    Abstract : International guidelines advocate the use of noninvasive cardiac imaging as the initial diagnostic test for coronary artery disease, the global leading cause of death according to the world health organization. Within the wide spectrum of cardiac imaging, 15O-water PET is the gold standard for noninvasive quantification of myocardial blood flow (MBF). READ MORE

  5. 5. Advanced Machine Learning Methods for Oncological Image Analysis

    Author : Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

    Abstract : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. READ MORE