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Purpose: Vascular elastography can visualize the strain distribution in the carotid artery, which could be useful in assessing the propensity of advanced plaques to rupture. In our previous studies, we demonstrated that sparse synthetic aperture (SA) imaging can produce high quality vascular strain elastograms. However, the low output power of SA imaging may hamper its clinical utility. In this study, we hypothesize that multi-element defocused emissions can overcome this limitation and improve the quality of the vascular strain elastograms.
Methods: To assess the impact of attenuation on the elastographic performance of SA and (multi-element synthetic aperture) MSA imaging, we conducted experiments using heterogeneous vessel phantoms with ideal (0.1 dB cm MHz ) and realistic (0.75 dB cm MHz ) attenuation. Further, we validated the results of the phantom study in vivo, on a healthy male volunteer. All echo imaging was performed at a transmit frequency of 5 MHz, using a commercially available ultrasound scanner (Sonix RP, Ultrasonix Medical Corp., Richmond, BC, Canada).
Results: The results from the phantom results demonstrated that plaques were visible in all strain elastograms, but those produced using MSA imaging had less artifacts. MSA imaging improved the elastographic contrast to noise ratio (CNRe) of the vascular elastograms by 14.58 dB relative to SA imaging, and 9.1 dB relative to compounded plane wave (CPW) imaging. Further, the results demonstrated that the elastographic performance of MSA imaging improved with increase in (a) the number of transmit-receive events and (b) the size of the transmit sub-aperture, up to 13 elements. Using larger sub-apertures degraded the elastographic performance. The results from the in vivo study were in good agreement with the phantom results. Specifically, using a defocused multi-element transmit sub-aperture for SA imaging improved the performance of vascular elastography.
Conclusions: The results suggested that MSA imaging can produce reliable vascular stain elastograms. Future studies will involve using coded excitations to improve the CNRe and frame-rate of the proposed technique for vascular elastography.
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http://dx.doi.org/10.1002/mp.12329 | DOI Listing |
BMC Oral Health
September 2025
Oral and Maxillofacial Radiology Department, Cairo university, Cairo, Egypt.
Aim: The purpose of this study was to assess the accuracy of a customized deep learning model based on CNN and U-Net for detecting and segmenting the second mesiobuccal canal (MB2) of maxillary first molar teeth on cone beam computed tomography (CBCT) scans.
Methodology: CBCT scans of 37 patients were imported into 3D slicer software to crop and segment the canals of the mesiobuccal (MB) root of the maxillary first molar. The annotated data were divided into two groups: 80% for training and validation and 20% for testing.
Semin Arthritis Rheum
August 2025
Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Department of Gastroenterology, Dermatology and Rheumatology, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden. Electronic address:
Objective: A revision of the 2017 EULAR-ACR myositis classification criteria, namely EULAR-ACR funded Myositis Revision of Classification (MyoROC) project, is currently underway involving a large international group of experts. In the first phase of this project, we identified additional items to be tested in the criteria.
Methods: We distributed an electronic survey to International Myositis Assessment and Clinical Studies (IMACS) members to identify new items.
Sensors (Basel)
August 2025
School of Computer, Baoji University of Arts and Science, Baoji 721016, China.
The critical component of the vision transformer (ViT) architecture is multi-head self-attention (MSA), which enables the encoding of long-range dependencies and heterogeneous interactions. However, MSA has two significant limitations: its limited ability to capture local features and its high computational costs. To address these challenges, this paper proposes an integrated multi-head self-attention approach with a bottleneck enhancement structure, named WMSA-WBS, which mitigates the aforementioned shortcomings of conventional MSA.
View Article and Find Full Text PDFPLoS One
August 2025
Department of Electronics and Communication Engineering, Kuwait College of Science and Technology (KCST), Doha Area, Kuwait.
Knee Ailments, such as meniscus injuries, bother millions globally, with research showing that more than 14% of the population above 40 years lives with meniscus-related conditions. Conventional diagnosis techniques, like manual MRI interpretation, are labour-intensive, error-prone, and dependent on skilled radiologists, making an automatic and more accurate alternative indispensable. Current deep-learning solutions heavily depend on CNNs, which perform poorly in long-range dependencies and global contextual info.
View Article and Find Full Text PDFMov Disord
July 2025
Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
Background: Repeat expansions in NOTCH2NLC and FMR1 share clinical features, including parkinsonism and ataxia, resembling atypical parkinsonian syndromes. We analyzed these expansions in atypical parkinsonism patients without corticomedullary junction hyperintensity on diffusion-weighted imaging, comparing them to asymptomatic elderly individuals.
Methods: We analyzed two cohorts: (1) 252 patients with atypical parkinsonism, including 165 with multiple system atrophy (MSA), 58 with progressive supranuclear palsy (PSP), and 29 with corticobasal syndrome, analyzed by repeat-primed polymerase chain reaction; and (2) 341 asymptomatic individuals over 60 from Taiwan Biobank, analyzed via whole-genome sequencing.