Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Vishnevskiy, Valery"'
In this work, we propose FlowMRI-Net, a novel deep learning-based framework for fast reconstruction of accelerated 4D flow magnetic resonance imaging (MRI) using physics-driven unrolled optimization and a complexvalued convolutional recurrent neural
Externí odkaz:
http://arxiv.org/abs/2410.08856
Event-based vision sensors produce an asynchronous stream of events which are triggered when the pixel intensity variation exceeds a predefined threshold. Such sensors offer significant advantages, including reduced data redundancy, micro-second temp
Externí odkaz:
http://arxiv.org/abs/2408.12976
Speed-of-sound has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. Speed-of-sound images can be reconstructed from time-of-flight measurements from ultrasound images acqui
Externí odkaz:
http://arxiv.org/abs/2006.14395
Simulation-based ultrasound training can be an essential educational tool. Realistic ultrasound image appearance with typical speckle texture can be modeled as convolution of a point spread function with point scatterers representing tissue microstru
Externí odkaz:
http://arxiv.org/abs/2006.10166
Publikováno v:
Nature Machine Intelligence 2, 228-235 (2020)
Phase-contrast magnetic resonance imaging (MRI) provides time-resolved quantification of blood flow dynamics that can aid clinical diagnosis. Long in vivo scan times due to repeated three-dimensional (3D) volume sampling over cardiac phases and breat
Externí odkaz:
http://arxiv.org/abs/2004.09610
Attenuation of ultrasound waves varies with tissue composition, hence its estimation offers great potential for tissue characterization and diagnosis and staging of pathology. We recently proposed a method that allows to spatially reconstruct the dis
Externí odkaz:
http://arxiv.org/abs/2003.05658
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery (2021)
Recent ultrasound imaging modalities based on ultrasound computed tomography indicate a huge potential to detect pathologies is tissue due to altered biomechanical properties. Especially the imaging of speed-of-sound (SoS) distribution in tissue has
Externí odkaz:
http://arxiv.org/abs/1910.05935
Publikováno v:
2019 IEEE International Ultrasonics Symposium (IUS)
For beamforming ultrasound (US) signals, typically a spatially constant speed-of-sound (SoS) is assumed to calculate delays. As SoS in tissue may vary relatively largely, this approximation may cause wavefront aberrations, thus degrading effective im
Externí odkaz:
http://arxiv.org/abs/1909.10254
Publikováno v:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 pp 601-609
Ultrasound attenuation is caused by absorption and scattering in tissue and is thus a function of tissue composition, hence its imaging offers great potential for screening and differential diagnosis. In this paper we propose a novel method that allo
Externí odkaz:
http://arxiv.org/abs/1906.11615
Tomographic image reconstruction is relevant for many medical imaging modalities including X-ray, ultrasound (US) computed tomography (CT) and photoacoustics, for which the access to full angular range tomographic projections might be not available i
Externí odkaz:
http://arxiv.org/abs/1906.05528