Sökning: "image registration"

Visar resultat 1 - 5 av 59 avhandlingar innehållade orden image registration.

  1. 1. 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

  2. 2. 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

  3. 3. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement

    Författare :Björn Svensson; Hans Knutsson; Mats Andersson; Oleg Burdakov; Abhir Bhalerao; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image science; multidimensional filtering; image enhancement; image registration; image segmentation; filter networks; graphics processing units GPU ; Medical engineering; Medicinsk teknik;

    Sammanfattning : Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. LÄS MER

  4. 4. 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

  5. 5. Methods for Processing and Analysis of Biomedical TEM Images

    Författare :Amit Suveer; Ida-Maria Sintorn; Carolina Wählby; Natasa Sladoje; Jari Hyttinen; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; deep learning; transmission electron microscopy; denoising; super-resolution reconstruction; registration; detection; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Transmission Electron Microscopy (TEM) has the high resolving capability and high clinical significance; however, the current manual diagnostic procedure using TEM is complicated and time-consuming, requiring rarely available expertise for analyzing TEM images of the biological specimen. This thesis addresses the bottlenecks of TEM-based analysis by proposing image analysis methods to automate and improve critical time-consuming steps of currently manual diagnostic procedures. LÄS MER