Sökning: "Image registration"

Visar resultat 11 - 15 av 102 avhandlingar innehållade orden Image registration.

1. 11. Improving Multi-Atlas Segmentation Methods for Medical Images

   Författare :Jennifer Alvén; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Supervised learning; semantic segmentation; multi-atlas segmentation; conditional random fields; label fusion; feature-based registration; image registration; random decision forests; convolutional neural networks; medical image segmentation;

   Sammanfattning : Semantic segmentation of organs or tissues, i.e. delineating anatomically or physiologically meaningful boundaries, is an essential task in medical image analysis. One particular class of automatic segmentation algorithms has proved to excel at a diverse set of medical applications, namely multi-atlas segmentation. LÄS MER

3. 12. Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications

   Författare :Johan Nysjö; Ingela Nyström; Filip Malmberg; Ida-Maria Sintorn; Jayaram K. Udupa; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; interactive segmentation; volume rendering; computed tomography; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. LÄS MER

4. 13. Image Processing, Machine Learning and Visualization for Tissue Analysis

   Författare :Leslie Solorzano; Carolina Wählby; Alexandru Cristian Telea; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image processing; data analysis; machine learning; visualization; microscopy; Bioinformatics; Bioinformatik;

   Sammanfattning : Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sources of data collected at various magnifications and by different imaging techniques. Using spatial information, we can build maps of tissue and cells in which it is possible to extract, e.g. LÄS MER

5. 14. Three-dimensional guidance for Endovascular Aortic Repair

   Författare :Giasemi Koutouzi; Göteborgs universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; anatomy deformation; CBCT; EVAR; image fusion; image guidance; image registration;

   Sammanfattning : Image fusion (IF) of preoperative computed tomography (CT) with intraoperative cone-beam CT (CBCT) is a potentially powerful tool for guidance during endovascular aortic repair (EVAR). It may improve intraoperative anatomic visualization and reduce doses of radiation and contrast medium. LÄS MER

7. 15. Learning-based prediction, representation, and multimodal registration for bioimage processing

   Författare :Nicolas Pielawski; Carolina Wählby; Thomas Walter; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deep learning; Multimodal image registration; bayesian optimization; Bioimage processing; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Microscopy and imaging are essential to understanding and exploring biology. Modern staining and imaging techniques generate large amounts of data resulting in the need for automated analysis approaches. LÄS MER