Sökning: "image registration"

Visar resultat 1 - 5 av 90 avhandlingar innehållade orden image registration.

  1. 1. Methods for Reliable Image Registration : Algorithms, Distance Measures, and Representations

    Författare :Johan Öfverstedt; Natasa Sladoje; Mattias Heinrich; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Image registration; alignment; local optimization; global optimization; mutual information; normalized gradient fields; representation learning; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Much biomedical and medical research relies on the collection of ever-larger amounts of image data (both 2D images and 3D volumes, as well as time-series) and increasingly from multiple sources. Image registration, the process of finding correspondences between images based on the affinity of features of interest, is often required as a vital step towards the final analysis, which may consist of a comparison of images, measurement of movement, or fusion of complementary information. LÄS MER

  2. 2. Image Filtering Methods for Biomedical Applications

    Författare :M. Khalid Khan Niazi; Ewert Bengtsson; Ingela Nyström; Lucas J. van Vliet; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital image analysis; Image filtering; Intensity inhomogeneity correction; Empirical mode decomposition; Particle Swarm optimization; Image registration; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. LÄS MER

  3. 3. Efficient GPU-based Image Registration : for Detailed Large-Scale Whole-body Analysis

    Författare :Simon Ekström; Robin Strand; Filip Malmberg; Joel Kullberg; Håkan Ahlström; Fred Hamprecht; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Magnetic resonance imaging; Image registration; whole-body; Radiology; Radiologi;

    Sammanfattning : Imaging has become an important aspect of medicine, enabling visualization of internals in a non-invasive manner. The rapid advancement and adoption of imaging techniques have led to a demand for tools able to take advantage of the information that is produced. LÄS MER

  4. 4. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing

    Författare :Daniel Forsberg; Hans Knutsson; Mats Andersson; Claes Lundström; Wiro Niessen; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; deformable models; scoliosis; visualization; volume rendering; adaptive regularization; GPGPU; CUDA;

    Sammanfattning : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. LÄS MER

  5. 5. A Global Linear Optimization Framework for Adaptive Filtering and Image Registration

    Författare :Gustaf Johansson; Hans Knutsson; Mats Andersson; Klas Nordberg; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Global Linear Optimization; Linear Optimization; Regularization; Medical Image Registration; Structure Tensor;

    Sammanfattning : Digital medical atlases can contain anatomical information which is valuable for medical doctors in diagnosing and treating illnesses. The increased availability of such atlases has created an interest for computer algorithms which are capable of integrating such atlas information into patient specific dataprocessing. LÄS MER