Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Micha Feigin"'
Autor:
Uriel Magana-Salgado, Praneeth Namburi, Micha Feigin-Almon, Roger Pallares-Lopez, Brian Anthony
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-24 (2023)
Abstract Tracking points in ultrasound (US) videos can be especially useful to characterize tissues in motion. Tracking algorithms that analyze successive video frames, such as variations of Optical Flow and Lucas–Kanade (LK), exploit frame-to-fram
Externí odkaz:
https://doaj.org/article/f14f8e68fbfe4a4d9ee55dd66b1fa96c
Publikováno v:
EMBC
Functional muscle imaging is essential for diagnostics of a multitude of musculoskeletal afflictions such as degenerative muscle diseases, muscle injuries, muscle atrophy, and neurological related issues such as spasticity. However, there is currentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b0ade44053ef0114e4c5b4ad876874
https://pubmed.ncbi.nlm.nih.gov/33018418
https://pubmed.ncbi.nlm.nih.gov/33018418
High-frequency full-waveform inversion with deep learning for seismic and medical ultrasound imaging
Publikováno v:
SEG Technical Program Expanded Abstracts 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d56673c2f78174dc69868f8602ae1b
https://doi.org/10.1190/segam2020-3426935.1
https://doi.org/10.1190/segam2020-3426935.1
Autor:
Robert W. Haupt, Julie M. Hughes, Christopher W. Lloyd, Jonathan M. Richardson, Micha Feigin-Almon, Brian W. Anthony, Mitesh Amin
Publikováno v:
Medical Imaging 2020: Physics of Medical Imaging.
Stress fracture is a common condition in athletes and military personnel yet objective methods for detection and tracking of stress fractures (e.g., MR and scintigraphy) remain complex and expensive. Methods involving ultrasound are in common use; ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048bbd24f17460dc2b4356c9d39561d3
https://doi.org/10.1117/12.2546618
https://doi.org/10.1117/12.2546618
Publikováno v:
Other repository
Ultrasound is a cost-effective, readily available, and non-ionizing modality for musculoskeletal imaging. Though some research groups have pursued methods that involve submerging the transducer and imaged body segment into a water bath, many limitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36f719ef15694fac81b5d98451d3868
https://hdl.handle.net/1721.1/124533
https://hdl.handle.net/1721.1/124533
Objective: Ultrasound elastography is gaining traction as an accessible and useful diagnostic tool for things such as, cancer detection and differentiation and thyroid disease diagnostics. Unfortunately, state-of-the-art shear wave imaging techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd5ebe0b2dc8998b034aa75a78ad8bc
http://arxiv.org/abs/1810.00322
http://arxiv.org/abs/1810.00322
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b9b9146faf2f0706fffa308797daa0
https://doi.org/10.1109/ultsym.2017.8092519
https://doi.org/10.1109/ultsym.2017.8092519
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Numerous recent developments in ultrasound imaging for musculoskeletal applications have emerged due to ultrasound's inherent advantages of real-time performance, high resolution, speed and relative cost compared to modalities such as MRI and CT. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c744ac8a1f951bc67435bd77b61e0866
https://doi.org/10.1109/ultsym.2017.8092541
https://doi.org/10.1109/ultsym.2017.8092541
Publikováno v:
Journal of Mathematical Imaging and Vision. 46:276-291
Signal and image processing have seen an explosion of interest in the last few years in a new form of signal/image characterization via the concept of sparsity with respect to a dictionary. An active field of research is dictionary learning: the repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16590be9ef946540bd8dba19b1cc0355
https://doi.org/10.1007/s10851-013-0431-x
https://doi.org/10.1007/s10851-013-0431-x
Publikováno v:
ICPR
A common method for image alignment in computer vision is finding the maximum consensus transformation for a set of features in the images. This is commonly done using randomized methods such as RANSAC.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3813dd319340cb93679780fe31e0e90a
https://doi.org/10.1109/icpr.2016.7899902
https://doi.org/10.1109/icpr.2016.7899902