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To satisfy the requirement of the modern spaceborne synthetic aperture radar (SAR) system, SAR imaging mode design makes a trade-off between resolution and swath coverage by controlling radar antenna sweeping. Existing spaceborne SAR systems can perform earth observation missions well in various modes, but they still face challenges in data acquisition, storage, and transmission, especially for high-resolution wide-swath imaging. In the past few years, sparse signal processing technology has been introduced into SAR to try to solve these problems. In addition, sparse SAR imaging shows huge potential to improve system performance, such as offering wider swath coverage and higher recovered image quality. In this paper, the design scheme of spaceborne sparse SAR imaging modes is systematically introduced. In the mode design, we first design the beam positions of the sparse mode based on the corresponding traditional mode. Then, the essential parameters are calculated for system performance analysis based on radar equations. Finally, a sparse SAR imaging method based on mixed-norm regularization is introduced to obtain a high-quality image of the considered scene from the data collected by the designed sparse modes. Compared with the traditional mode, the designed sparse mode only requires us to obtain a wider swath coverage by reducing the pulse repetition rate (PRF), without changing the existing on-board system hardware. At the same time, the reduction in PRF can significantly reduce the system data rate. The problem of the azimuth ambiguity signal ratio (AASR) increasing from antenna beam scanning can be effectively solved by using the mixed-norm regularization-based sparse SAR imaging method.
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http://dx.doi.org/10.3390/s25133888 | DOI Listing |
Med Phys
September 2025
Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Background: Four-dimensional magnetic resonance imaging (4D-MRI) holds great promise for precise abdominal radiotherapy guidance. However, current 4D-MRI methods are limited by an inherent trade-off between spatial and temporal resolutions, resulting in compromised image quality characterized by low spatial resolution and significant motion artifacts, hindering clinical implementation. Despite recent advancements, existing methods inadequately exploit redundant frame information and struggle to restore structural details from highly undersampled acquisitions.
View Article and Find Full Text PDFUltrason Sonochem
September 2025
The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, China. Electronic address:
With the development of nanomedicine and ultrasound technology, ultrasound-enhanced contrast agents and treatment platforms based on nanomaterials have become important tools for tumor diagnosis and treatment, owing to their high safety profile, low cost and excellent biocompatibility. This review comprehensively discusses the classification and mechanism of nanomaterials in enhancing ultrasound imaging and treatment. It encompasses organic nanomaterials, including nanobubbles and polymer nanoparticles, and as well as inorganic nanomaterials, such as metal nanoparticles and metal oxide nanoparticles.
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Radiology, Mayo Clinic, Rochester, USA.
Purpose: Crohn's disease (CD) is characterized by enteric inflammation, often resulting in strictures and penetrating complications, which may alter patient management prior to the initiation of biologic therapy. Our aim is to assess the frequency of missed stricturing and internal penetrating complications in CD patients on computed tomography enterography (CTE) and magnetic resonance enterography (MRE) performed prior to anti-TNF therapy.
Methods: We retrospectively reviewed patients from two tertiary centers who underwent CTE\MRE within six months before starting anti-TNF therapy.
Anal Chem
September 2025
State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.
Mass spectrometry imaging (MSI) is a label-free technique that enables the visualization of the spatial distribution of thousands of ions within biosamples. Data denoising is the computational strategy aimed at enhancing the MSI data quality, providing an effective alternative to experimental methods. However, due to the complex noise pattern inherent in MSI data and the difficulty in obtaining ground truth from noise-free data, achieving reliable denoised images remains challenging.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Clinical Oncology, University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Background: Neoantigen-based vaccines show promising therapeutic potential in solid tumors such as melanoma, GBM, NSCLC, and CRC. However, clinical responses remain suboptimal in stage IV patients, due to ineffective T-cell function and high tumor burdens. To overcome these limitations, our study investigates a combination strategy using neoantigen peptide vaccines and precision critical lesion radiotherapy (CLERT), which delivers immunomodulatory doses to key tumor regions synergistically enhance immune activation and inhibit progression in multifocal stage IV patients.
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