High frame rate (HFR) imaging methods based on the transmission of defocused or plane waves rather than focused beams are increasingly popular. However, the production of HFR images poses severe requirements both in the transmission and the reception sections of ultrasound scanners. In particular, major technical difficulties arise if the images must be continuously produced in real-time, i.e., without any acquisition interruption nor loss of data. This paper presents the implementation of the real-time HFR-compounded imaging application in the ULA-OP 256 research platform. The beamformer sustains an average output sample rate of 470 MSPS. This allows continuously producing coherently compounded images, each of 64 lines by 1280 depths (here corresponding to 15.7 mm width and 45 mm depth, respectively), at frame rates up to 5.3 kHz. Imaging tests addressed to evaluate the achievable speed and quality performance were conducted on phantom. Results obtained by real-time compounding frames obtained with different numbers of steering angles between +7.5° and -7.5° are presented.
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http://dx.doi.org/10.1109/TUFFC.2017.2727980 | DOI Listing |
Ultrasound Med Biol
January 2025
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong; Biomedical Engineering Programme, The University of Hong Kong, Hong Kong. Electronic address:
Objective: Near-field (NF) clutter filters are critical for unveiling true myocardial structure and dynamics. Randomized singular value decomposition (rSVD) stands out for its proven computational efficiency and robustness. This study investigates the effect of rSVD-based NF clutter filtering on myocardial motion estimation.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFCureus
January 2025
Graduate Medical Education, Henry Ford Health System, Detroit, USA.
Background: Virtual interviewing for fellowship training programs has been widely adopted since the COVID-19 pandemic. However, whether fellowship candidates can adequately evaluate training program culture through virtual interviews is unclear.
Objective: Our aim was to explore how pulmonary and critical care fellows ascertained program culture during virtual and in-person fellowship program recruitment interviews, with the overall goal of improving our virtual recruiting interview processes.
JAMA Netw Open
January 2025
Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.
Importance: As US health care systems shift to human papillomavirus (HPV)-based cervical cancer screening, more patients are receiving positive high-risk non-16/18 genotype HPV results and negative for intraepithelial lesion or malignancy (NILM) cytological findings. Risk-based management guidelines recommend 2 consecutive negative annual results to return to routine screening.
Objective: To quantify patterns of surveillance testing and associated outcomes for patients after an HPV-positive results and NILM cytologic findings.
Arch Virol
January 2025
State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
High-throughput sequencing was used to identify and characterize a novel marafivirus from the weed Leptochloa chinensis, which was tentatively named "Leptochloa chinensis marafivirus" (LcMV). The complete genome of the virus consists of 6,178 base pairs, and its nucleotide sequence is 73.82% identical to that of Sorghum almum marafivirus, which is a member of the genus Marafivirus within the family Tymoviridae.
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