Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohamed Abou El-Ghar"'
Publikováno v:
FUZZ-IEEE
Kidney segmentation from Dynamic Contrast Enhanced Magnetic Resonance Images (DCE-MRI) is an important step for the early detection of transplanted kidney rejection. In this paper, an accurate kidney segmentation method from DCE-MRI is proposed. In t
Autor:
Mohamed Abou El-Ghar, Maiying Kong, Garth M. Beache, Ayman El-Baz, Georgy Gimel'farb, Fahmi Khalifa, Tarek El-Diasty
Publikováno v:
IEEE Transactions on Medical Imaging. 32:1910-1927
A novel framework for the classification of acute rejection versus nonrejection status of renal transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed. The framework consists of four steps. First, kidney objects are seg
Autor:
Mohamed Abou El-Ghar, Ahmed Soliman, Ahmed Elnakib, Patrick McClure, G. Gimelrfarb, Fahmi Khalifa, Ayman El-Baz
Publikováno v:
IEEE Transactions on Biomedical Engineering. 59:2019-2029
Accurate automatic extraction of a 3-D cerebrovascular system from images obtained by time-of-flight (TOF) or phase contrast (PC) magnetic resonance angiography (MRA) is a challenging segmentation problem due to the small size objects of interest (bl
Publikováno v:
ICPR (3)
A new physically justified adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flow (in abnormal cases like anemia or