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Showing 1 to 7 of 7 for “"2D-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. 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)

  3. 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)

  4. 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)

  5. 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 …

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

  6. 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)

  7. 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)