Sökning: "Medicinsk avbildning"

Visar resultat 1 - 5 av 27 avhandlingar innehållade orden Medicinsk avbildning.

  1. 1. Non-invasive imaging for improved cardiovascular diagnostics : Shear wave elastography, relative pressure estimation, and tomographic reconstruction

    Författare :David Marlevi; Matilda Larsson; Reidar Winter; Massimiliano Colarieti-Tosti; Kathryn Nightingale; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; Medical imaging; Cardiovascular disease; Atherosclerosis; Hemodynamics; Ultrasound; Shear Wave Elastography SWE ; Magnetic Resonance Imaging MRI ; 4D flow MRI; Relative Pressure; Virtual Work-Energy; micro-Computed Tomography micro-CT ; Tomographic reconstruction; Pre-clinical imaging; Medicinsk avbildning; Hjärt-kärlsjukdomar; Ateroskleros; Hemodynamik; Ultraljud; Skjuvvågselastografi SWE ; Magnetresonanstomografi MRI ; 4D flödes-MRI; Tryckfall; Virtuellt flöde; mikro-Datortomografi mikro-CT ; Tomografisk rekonstruktion; Preklinisk avbildning; Medicinsk teknologi; Medical Technology;

    Sammanfattning : Throughout the last century, medical imaging has come to revolutionise the way we diagnose disease, and is today an indispensable part of virtually any clinical practice. In cardiovascular care imaging is extensively utilised, and the development of novel techniques promises refined diagnostic abilities: ultrasound elastography allows for constitutive tissue assessment, 4D flow magnetic resonance imaging (MRI) enables full-field flow mapping, and micro-Computed Tomography (CT) permits high-resolution imaging at pre-clinical level. LÄS MER

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

    Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; 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;

    Sammanfattning : 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. LÄS MER

  3. 3. Methods for the analysis and characterization of brain morphology from MRI images

    Författare :Irene Brusini; Chunliang Wang; Örjan Smedby; Eric Westman; Lars-Olof Wahlund; Jorge Cardoso; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; TEKNIK OCH TEKNOLOGIER; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; ENGINEERING AND TECHNOLOGY; MEDICAL AND HEALTH SCIENCES; MEDICAL AND HEALTH SCIENCES; Brain MRI; Image Segmentation; Machine Learning; Deep Learning; Shape Analysis; Aging; Neurodegeneration; MRT av hjärnan; Bildsegmentering; Maskininlärning; Djupinlärning; Formanalys; Åldrande; Neurodegeneration; Medical Technology; Medicinsk teknologi;

    Sammanfattning : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. LÄS MER

  4. 4. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning

    Författare :Daniel Jörgens; Rodrigo Moreno; Örjan Smedby; Chunliang Wang; Jesper Andersson; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tensor voting; tractography; deep learning; tractogram filtering; diffusion magnetic resonance imaging; tensorröstning; traktografi; djupinlärning; traktogramfiltrering; diffusions-MRT; Tillämpad medicinsk teknik; Applied Medical Technology;

    Sammanfattning : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. LÄS MER

  5. 5. Methods of image acquisition and calibration for x-ray computed tomography

    Författare :Martin Sjölin; Mats Danielsson; J. Webster Stayman; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Technology; Medicinsk teknologi;

    Sammanfattning : X-ray computed tomography (CT) is a common medical imaging device for acquiring high-resolution 3D images of the interior of the human body. The images are formed by mathematical reconstruction from hundreds of planar x-ray images that have been acquired during less then a second. LÄS MER