A sub-pixel 16 bit charge coupled device camera featuring superresolution for the soft X-ray regime is presented. Superresolution images (SRIs) are reconstructed from a set of 4 × 4 individual low-resolution images that are recorded for different sub-pixel shifts of the detector. SRIs have a 1.3 times higher resolution than individual low-resolution images which is close to the maximum achievable enhancement factor of about 1.5 in the X-ray regime under ideal conditions. To characterize this camera and demonstrate its potential, an X-ray microscope setup is used to image different objects at different photon energies.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1063/1.5053593 | DOI Listing |
Medicina (Kaunas)
December 2024
Department of Orthopedic Surgery, Chungnam National University Hospital, School of Medicine, Chungnam National University, Munhwa-ro 282, Jung-gu, Daejeon 35015, Republic of Korea.
: This study investigated associated meniscus and ligament injuries in tibial plateau fractures using magnetic resonance imaging (MRI) and assessed soft tissue injuries in relation to the Schatzker classification and Tscherne classification. : The data of 185 patients who sustained tibial plateau fractures from January 2010 to April 2021 were retrospectively reviewed. Fractures were classified according to the Schatzker classification system.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Radiology, Jena University Hospital, Friedrich Schiller University, 07747 Jena, Germany.
Deep learning image reconstruction (DLIR) has shown potential to enhance computed tomography (CT) image quality, but its impact on tumor visibility and adoption among radiologists with varying experience levels remains unclear. This study compared the performance of two deep learning-based image reconstruction methods, DLIR and Pixelshine, an adaptive statistical iterative reconstruction-volume (ASIR-V) method, and filtered back projection (FBP) across 33 contrast-enhanced CT staging examinations, evaluated by 20-24 radiologists. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured for tumor and surrounding organ tissues across DLIR (Low, Medium, High), Pixelshine (Soft, Ultrasoft), ASIR-V (30-100%), and FBP.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Orthopaedic Surgery, University of California Los Angeles, Los Angeles, CA 90095, USA.
Postoperative imaging of musculoskeletal tumors poses a significant diagnostic challenge for radiologists. The complexity arises from the need to differentiate between expected postoperative changes, potential complications, and local recurrence. The choice of imaging modality depends on the type of primary tumor.
View Article and Find Full Text PDFEntropy (Basel)
November 2024
Institute of Materials, School of Materials Science and Engineering, Shanghai University, Shanghai 200072, China.
Corrosion of soft magnetic materials during service can significantly impact their performance and service life, therefore it is important to improve their corrosion resistance. In this paper, the corrosion resistance, alternating current soft magnetic properties (AC SMPs) and microstructure of FeCoNiAl ( = 1.0-2.
View Article and Find Full Text PDFBrain Sci
November 2024
Department of Computer Science, Yobe State University, Damaturu 600213, Nigeria.
Background/objectives: Magnetic Resonance Imaging (MRI) plays a vital role in brain tumor diagnosis by providing clear visualization of soft tissues without the use of ionizing radiation. Given the increasing incidence of brain tumors, there is an urgent need for reliable diagnostic tools, as misdiagnoses can lead to harmful treatment decisions and poor outcomes. While machine learning has significantly advanced medical diagnostics, achieving both high accuracy and computational efficiency remains a critical challenge.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!