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Showing 1 to 13 of 13 for “"Medical Image Registration"”.

  1. Computational methods for medical image registration

    Mojica, Mia CarmelaUniversity of Ontario Institute of Technology2021

    … to the improvement of techniques in the field of medical image analysis. Imaging modalities have been improved and new acquisition methods have been introduced to reveal greater anatomical detail and to allow for more information to be extracted from medical images. However, certain challenges …

    uoit Repository record

  2. Hierarchical three-dimensional medical image registration

    Ettinger, Gil JMassachusetts Institute of Technology1997

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

    mit Repository record

  3. High speed 2D/3D medical image registration

    Dorgham, OsamaUniversity of East Anglia2010

    east-anglia Repository record

  4. Medical Image Registration Using Artificial Neural Network

    Choi, Hyunjong2018

    <p>Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where …

    calpoly Repository record

  5. Medical image registration on tumor growth with time series

    Wang, KuochengUniversity of Illinois at Urbana-Champaign2016

    DSpace SAF Submission Ingestion Package generated from Vireo submission #10029 on 2016-11-09 at 10:25:43

    uiuc Repository record

  6. A Hybrid Similarity Measure Framework for Multimodal Medical Image Registration

    Reel, Parminder SinghThe Open University2016

    Medical imaging is widely used today to facilitate both disease diagnosis and treatment planning practice, with a key prerequisite being the systematic process of medical image registration (MIR) to align either mono or multimodal images of different anatomical parts of the human body. MIR utilises …

    the-open-u Repository record

  7. Analyzing and synthesizing deformations in image datasets

    Balakrishnan, Guha.Massachusetts Institute of Technology2018

    … tasks in computer vision and graphics, such as image registration, optical flow estimation and image warping, are concerned with measuring spatial deformations between images. Traditional algorithms for these applications often rely on solving an optimization problem for each test input. Some of …

    mit Repository record

  8. Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging

    Liu, LihaoUniversity of Cambridge2024

    … video analysis or another spatial dimension in medical imaging, demands innovative approaches that can accurately capture and interpret the intricacies of three-dimensional spaces. Despite the critical need, the leap from 2D to 3D segmentation remains a significant challenge, requiring not only …

    cambridge Repository record

  9. DESIGN OF A USER INTERFACE FOR THE ANALYSIS OF MULTI-MODAL IMAGE REGISTRATION

    Filion, Jean-Michel2010

    Image registration is the process of spatially aligning two or more images of a scene into a common coordinate system. Research in image registration has yielded a number of rigid and non-rigid image registration methods capable of registering images of a scene between modalities. In addition, …

    uwo Repository record

  10. Statistical models in medical image analysis

    Leventon, Michael EmmanuelMassachusetts Institute of Technology2000

    Computational tools for medical image analysis help clinicians diagnose, treat, monitor changes, and plan and execute procedures more safely and effectively. Two fundamental problems in analyzing medical imagery are registration, which brings two or more datasets into correspondence, and …

    mit Repository record

  11. From Discrete to Continuous: Learning 3D Geometry from Unstructured Points by Random Continuous Space Queries

    Jia, Meng2025

    … applied to shape based processing problems in medical image registration and segmentation. Specifically, our network is adapted and applied to two different, traditionally challenging problems: 1) liver image-to-physical registration; and 2) tumour-bearing whole brain segmentation. In both of …

    york Repository record

  12. MEDICAL IMAGE BASED PREOPERATIVE ANALYSIS AND INTRAOPERATIVE NAVIGATION

    QIU LIANG2020

    In recent years, medical image processing, artificial intelligence, computer-assisted system and robotic intervention are gradually applied to medicine to help surgeons for medical image analysis and surgical navigation, promoting the vigorous progress of precision medicine. This thesis mainly …

    nus Repository record

  13. Applications of machine learning in nuclear imaging and radiation detection

    Galib, Shaikat MahmoodMissouri University of Science and Technology

    … problem is about interpreting and analyzing 3D medical radiation images automatically. A method is developed to identify and quantify deformable image registration (DIR) errors from lung CT scans for quality assurance (QA) purposes. The method includes the process of preparing a CT scan dataset …

    must-thes Repository record