Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Raj R. Nadakuditi"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract We present a multi-stage neural network approach for 3D reconstruction of coronary artery trees from uncalibrated 2D X-ray angiography images. This method uses several binarized images from different angles to reconstruct a 3D coronary tree
Externí odkaz:
https://doaj.org/article/47078e7452f24a44bf47d8024a24231b
Autor:
Kritika Iyer, Cyrus P. Najarian, Aya A. Fattah, Christopher J. Arthurs, S. M. Reza Soroushmehr, Vijayakumar Subban, Mullasari A. Sankardas, Raj R. Nadakuditi, Brahmajee K. Nallamothu, C. Alberto Figueroa
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography, in which images are taken as radio-opaque dye is flushed through the coronary vessels to visualize the severity of vessel narrowing, or stenosis. Cardiologists typi
Externí odkaz:
https://doaj.org/article/184594f6bad04a0e962b6c06d54dbbee