Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy
Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by
localizing and tracking intravenously injected microbubbles circulating in the bloodstream …
localizing and tracking intravenously injected microbubbles circulating in the bloodstream …
Deep learning-based image analysis for the quantification of tumor-induced angiogenesis in the 3d in vivo tumor model—Establishment and addition to laser speckle …
PM Kuri, E Pion, L Mahl, P Kainz, S Schwarz… - Cells, 2022 - mdpi.com
(1) Background: angiogenesis plays an important role in the growth and metastasis of
tumors. We established the CAM assay application, an image analysis software of the …
tumors. We established the CAM assay application, an image analysis software of the …
Evaluation of early diabetic kidney disease using ultrasound localization microscopy: A feasibility study
H Zhang, L Huang, Y Yang, L Qiu, Q He… - … of Ultrasound in …, 2023 - Wiley Online Library
Objective The purpose of this study is to detect the hemodynamic changes of microvessels
in the early stage of diabetic kidney disease (DKD) and to test the feasibility of ultrasound …
in the early stage of diabetic kidney disease (DKD) and to test the feasibility of ultrasound …
The emergence of functional ultrasound for noninvasive brain–computer interface
H Zheng, L Niu, W Qiu, D Liang, X Long, G Li, Z Liu… - Research, 2023 - spj.science.org
A noninvasive brain–computer interface is a central task in the comprehensive analysis and
understanding of the brain and is an important challenge in international brain-science …
understanding of the brain and is an important challenge in international brain-science …
Competitive Swarm Optimized SVD Clutter Filtering for Ultrafast Power Doppler Imaging
Ultrafast power Doppler imaging (uPDI) can significantly increase the sensitivity of resolving
small vascular paths in ultrasound. While clutter filtering is a fundamental and essential …
small vascular paths in ultrasound. While clutter filtering is a fundamental and essential …
A general framework for inverse problem solving using self-supervised deep learning: validations in ultrasound and photoacoustic image reconstruction
The image reconstruction process in medical imaging can be treated as solving an inverse
problem. The inverse problem is usually solved using time-consuming iterative algorithms …
problem. The inverse problem is usually solved using time-consuming iterative algorithms …
Sub-aperture ultrafast volumetric ultrasound imaging for fully sampled dual-mode matrix array
Y Qiang, X Wang, R Liu, X Han, H Zheng, W Qiu… - Ultrasonics, 2024 - Elsevier
Fully sampled dual-mode matrix array ultrasound transducer is capable of performing
imaging and therapeutic ultrasound in three dimensions (3D). It is a promising tool for many …
imaging and therapeutic ultrasound in three dimensions (3D). It is a promising tool for many …
A Competitive Swarm Optimized SVD-based Clutter Filter
B Fang, F Meng, Y Chen, J Luo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Ultrafast ultrasound imaging has promoted long-term developments and wide applications
in the field of blood flow imaging. The singular value decomposition (SVD)-based clutter …
in the field of blood flow imaging. The singular value decomposition (SVD)-based clutter …