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Showing 1 to 16 of 16 for “"3D Registration"”.

  1. 2D-3D Registration Methods for Computer-Assisted Orthopaedic Surgery

    2D-3D registration is one of the underpinning technologies that enables image-guided intervention in computer-assisted orthopaedic surgery (CAOS). Preoperative 3D images and surgical plans need to be mapped to the patient in the operating room before they can be used to augment the surgical …

    queens Repository record for 2D-3D Registration Methods for Computer-Assisted Orthopaedic Surgery (opens in a new tab)

  2. Mathematical Advancements in Geometric Algebra for 3D Registration Problems

    … investigates the reformulation of geometric registration algorithms using Geometric Algebra (GA) to solve transformation problems traditionally handled with Linear Algebra (LA). Geometric transformations play a key role in fields like robotics, computer vision and 3D modelling, as they allow …

    cambridge Repository record for Mathematical Advancements in Geometric Algebra for 3D Registration Problems (opens in a new tab)

  3. Statistical methods for 2D-3D registration of optical and LIDAR images

    Fusion of 3D laser radar (LIDAR) imagery and aerial optical imagery is an efficient method for constructing 3D virtual reality models. One difficult aspect of creating such models is registering the optical image with the LIDAR point cloud, which is a camera pose estimation problem. We propose a …

    mit Repository record for Statistical methods for 2D-3D registration of optical and LIDAR images (opens in a new tab)

  4. Registration of Arbitrary 3D Point Cloud Using Statistical Head Model

    The standardization of arbitrary 3D head mesh is necessary for many applications. This project explores one possible standardization method which made used of traditional 3D registration techniques (i.e. the Iterative Closest Point algorithm) and a given statistical head mesh model. During the …

    nus Repository record for Registration of Arbitrary 3D Point Cloud Using Statistical Head Model (opens in a new tab)

  5. Spatio-temporal data fusion in cerebral angiography

    … unobtained high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences allow image feedback during medical procedures that can facilitate the detection and observation of stenosis, aneurysms, and clots. The 3D time series is constructed by fusing …

    mit Repository record for Spatio-temporal data fusion in cerebral angiography (opens in a new tab)

  6. State Estimation in Dynamical Robotic System with Non-Gaussian Noise

    … estimation problems: multi-model point cloud registration and state estimation in polynomial dynamical systems, both contaminated by non-Gaussian noise. In the multi-model 3D registration problem, we are given two point clouds picturing a set of objects at different poses (and possibly …

    mit Repository record for State Estimation in Dynamical Robotic System with Non-Gaussian Noise (opens in a new tab)

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

    … 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 a similarity measure (SM) to quantify the level of spatial alignment and is particularly demanding due to the presence of …

    the-open-u Repository record for A Hybrid Similarity Measure Framework for Multimodal Medical Image Registration (opens in a new tab)

  8. Linear regression analysis of 2D projection image data of 6 degrees-of-freedom transformed 3D image sets for stereotactic radiation therapy

    … radiation therapy treatment, classical image registration methods are computationally costly and imprecise. We developed an automatic, fast, and robust 2D-3D registration method to improve accuracy and speed of identifying 6 degrees-of-freedom (DoF) transformations during patient positioning …

    mit Repository record for Linear regression analysis of 2D projection image data of 6 degrees-of-freedom transformed 3D image sets for stereotactic radiation therapy (opens in a new tab)

  9. Target localization in MRI-guided prostate biopsy

    … National Cancer Institute for over 6 years. A 3D-3D registration algorithm consists of an initial two-step rigid alignment followed by a B-spline deformable transform was developed to align the pre- and post-needle insertion images. A total of 90 biopsies from 24 patients were studied. The mean …

    queens Repository record for Target localization in MRI-guided prostate biopsy (opens in a new tab)

  10. Motion Estimation and Motion-Compensated Reconstruction for Four-Dimensional Cone Beam Computed Tomography (4D-CBCT)

    … vector fields (DVFs) estimated from a 2D-3D registration. For CNN based methods, boundary DVFs are also used as the input for the U-net based architectures to predict the inner lung motion. All methods can improve accuracy of DVFs and further improve reconstructed 4D-CBCT images quality. …

    utswmed Repository record for Motion Estimation and Motion-Compensated Reconstruction for Four-Dimensional Cone Beam Computed Tomography (4D-CBCT) (opens in a new tab)

  11. Image Processing Methods For Dual-Energy Contrast-Enhanced X-Ray Breast Imaging

    … image subtraction method together with 2D and 3D registration methods for DE imaging. The hybrid subtraction method was proven to be robust and was successful in processing both clinical and animal images. Emanating from our work on image subtraction, we developed a framework to characterize DE …

    penn Repository record for Image Processing Methods For Dual-Energy Contrast-Enhanced X-Ray Breast Imaging (opens in a new tab)

  12. Generalised Discriminative Optimisation Algorithms for Augmented Reality: Theory and Practice.

    … Reality (AR) technology achieves the seamless registration between virtual scenes and the real world. Three-dimensional registration is a core method for integrat- ing virtual information and the real world. Registration has always been treated as an optimisation process, involving the design …

    bournemouth Repository record for Generalised Discriminative Optimisation Algorithms for Augmented Reality: Theory and Practice. (opens in a new tab)

  13. Registration of Tomographic Images to X-ray Projections for Use in Image Guided Interventions

    … to allow<br/>information from a pre-operative 3D modality to be used during an intervention which is guided using 2D fluoroscopy images. <br/><br/>An algorithm has been designed to obtain the pose of a CT volume with respect to a single fluoroscopy image. The registration algorithm is based on …

    kings Repository record for Registration of Tomographic Images to X-ray Projections for Use in Image Guided Interventions (opens in a new tab)

  14. 3D Reconstruction of Patient Specific Bone Models for Image Guided Orthopaedic Surgery

    … of patient-specific fractured bone in 3D plays an important role in image guided orthopaedic surgery. Existing research often focuses on intra-operative registration of the patients' anatomy with pre-operatively obtained 3D volumetric data (e.g. CT scans) utilising fiduciary markers. …

    auckland-ms Repository record for 3D Reconstruction of Patient Specific Bone Models for Image Guided Orthopaedic Surgery (opens in a new tab)

  15. Automatic pre-treatment validation in radiotherapy by computer aided 3D-2D image alignment

    … (31)) to two-dimensional (2D) image registration methods. The author has proposed two novel methods to register computerised tomography (CT) based volume image data acquired for treatment planning with orthogonal planar images acquired at treatment simulation, which are able to …

    cent-lancashire Repository record for Automatic pre-treatment validation in radiotherapy by computer aided 3D-2D image alignment (opens in a new tab)

  16. Computer Vision Algorithms for Yield Mapping in Specialty Farms

    … detection, counting, recovering underlying 3D geometry for tracking fruit across different frames in continuously changing illumination) as well as planning problems (path planning for covering all fruit, picking fruit). The main goal of this dissertation is to develop computer vision and …

    umn Repository record for Computer Vision Algorithms for Yield Mapping in Specialty Farms (opens in a new tab)