Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Azar Tolouee"'
Autor:
Azar Tolouee
Dynamic magnetic resonance imaging requires rapid data acquisition to provide an appropriate combination of spatial and temporal resolution, and volumetric coverage for clinical studies. In the most challenging clinical situations, conventional dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d29dacb101822b23b30660d3d3298d0
https://doi.org/10.32920/ryerson.14655075.v1
https://doi.org/10.32920/ryerson.14655075.v1
Publikováno v:
2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME).
In cardiac perfusion MRI, the low imaging speed limits the spatiotemporal resolution. To improve the imaging speed and hence the spatiotemporal resolution, Compressed sensing (CS) has been utilized. The purpose of this paper is to improve reconstruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b58f53ec3f90e325d82d734728769a
https://doi.org/10.1109/mecbme47393.2020.9265153
https://doi.org/10.1109/mecbme47393.2020.9265153
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine. 31:33-47
In dynamic cardiac magnetic resonance imaging (MRI), the spatiotemporal resolution is often limited by low imaging speed. Compressed sensing (CS) theory can be applied to improve imaging speed and spatiotemporal resolution. The combination of compres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd3ec8a72af90f725d301147ac117015
https://doi.org/10.1007/s10334-017-0628-x
https://doi.org/10.1007/s10334-017-0628-x
Publikováno v:
Magnetic resonance imaging. 46
In this work, a robust nonrigid motion compensation approach, is applied to the compressed sensing reconstruction of dynamic cardiac cine MRI sequences. Respiratory and cardiac motion separation coupled with a registration algorithm is used to provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45bca599859fa783ec4ae6c122eda159
https://pubmed.ncbi.nlm.nih.gov/29154895
https://pubmed.ncbi.nlm.nih.gov/29154895
Publikováno v:
Expert Systems with Applications. 38:7755-7765
Research highlights? Our computer aided diagnosis system takes advantage of an effective algorithm developed in our laboratory for parenchyma segmentation in HRCT images. Then, features are determined using two sets of overcomplete wavelet filters, n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f463fe3ee398b7928185181893ef5d9b
https://doi.org/10.1016/j.eswa.2010.12.133
https://doi.org/10.1016/j.eswa.2010.12.133
Publikováno v:
Journal of magnetic resonance (San Diego, Calif. : 1997). 260
In dynamic cardiac cine Magnetic Resonance Imaging (MRI), the spatiotemporal resolution is limited by the low imaging speed. Compressed sensing (CS) theory has been applied to improve the imaging speed and thus the spatiotemporal resolution. The purp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043bc877d0e0c40e843d0d069fa7ab5d
https://pubmed.ncbi.nlm.nih.gov/26397216
https://pubmed.ncbi.nlm.nih.gov/26397216
Publikováno v:
2nd Middle East Conference on Biomedical Engineering.
Compressed sensing (CS) is a data-reduction technique that has been applied to speed up the acquisition in MRI. In this work, the feasibility of the CS framework for accelerated dynamic MRI is assessed. The fundamental condition of sparsity required
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0161daffbcd67d7ec3a980bbe747fedd
https://doi.org/10.1109/mecbme.2014.6783197
https://doi.org/10.1109/mecbme.2014.6783197
Publikováno v:
DICTA
Automatic classification of lung tissue patterns in high resolution computed tomography images of patients with interstitial lung diseases is an important stage in the construction of a computer-aided diagnosis system. To this end, a novel approach i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96e63284e484b94e6107abaa67122def
https://doi.org/10.1109/dicta.2008.27
https://doi.org/10.1109/dicta.2008.27