50 research outputs found

    Histopathological findings from the investigation of paediatric acute hepatitis of unknown aetiology, United Kingdom 2022

    Get PDF
    In 2022, there were global reports of increased numbers of acute hepatitis not explained by hepatitis A–E virus infection in children. This manuscript summarises histopathology results from 20 patients in the United Kingdom who underwent liver transplant or had a liver biopsy as part of aetiological investigations. All available histopathological samples were reviewed centrally as part of the outbreak investigation. A working group comprised of infection specialists, hepatologists and histopathologists met virtually to review the cases, presentation, investigations and histopathology. All 20 liver samples had evidence of inflammation without significant interface activity, and submassive confluent pan-lobular or multilobular hepatocellular necrosis. Overall, the predominant histopathological findings were of acute nonspecific hepatitis with submassive hepatic necrosis and central vein perivenulitis and endothelitis. Histopathological findings were a poor indicator of aetiology

    Edge-Based Template Matching and Tracking for Perspectively Distorted Planar Objects

    No full text

    Bundle Adjustment for Stereoscopic 3D

    No full text
    Abstract. The recent resurgence of stereoscopic 3D films has triggered a high demand for post-processing tools for stereoscopic image sequences. Camera motion estimation, also known as structure-from-motion (SfM) or match-moving, is an essential step in the post-processing pipeline. In order to ensure a high accuracy of the estimated camera parameters, a bundle adjustment algorithm should be employed. We present a new stereo camera model for bundle adjustment. It is designed to be applicable to a wide range of cameras employed in today’s movie productions. In addition, we describe how the model can be integrated efficiently into the sparse bundle adjustment framework, enabling the processing of stereoscopic image sequences with traditional efficiency and improved accuracy. Our camera model is validated by synthetic experiments, on rendered sequences, and on a variety of real-world video sequences.
    corecore