Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Terlika Pandit Sood"'
Autor:
Jonghyun Bae, Zhengnan Huang, Florian Knoll, Krzysztof Geras, Terlika Pandit Sood, Li Feng, Laura Heacock, Linda Moy, Sungheon Gene Kim
Publikováno v:
Magn Reson Med
PURPOSE: To develop a deep learning approach to estimate the local capillary-level input function (CIF) for pharmacokinetic model analysis of dynamic contrast enhanced (DCE)-MRI. METHODS: A deep convolutional network was trained with numerically simu
Autor:
Linda Moy, Justin Fogarty, Laura Heacock, Zhengnan Huang, Terlika Pandit Sood, Jonghyun Bae, Sungheon Kim, Florian Knoll, Patricia M. Johnson
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030885519
MLMIR@MICCAI
MLMIR@MICCAI
Dynamic contrast enhancement (DCE) MRI has been increasingly utilized in clinical practice. While machine learning (ML) applications are gaining momentum in MRI reconstruction, the dynamic nature of image acquisition for DCE-MRI limits access to a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f14c19eb1a32ebbc8b854c585918fc1
https://doi.org/10.1007/978-3-030-88552-6_5
https://doi.org/10.1007/978-3-030-88552-6_5
Autor:
Linda Moy, Justin Fogarty, Sungheon Kim, Terlika Pandit Sood, Melanie Moccaldi, Alana A. Lewin, Mehran Baboli, Pippa Storey
Publikováno v:
Magn Reson Med
PURPOSE To develop a simultaneous dual-slab three-dimensional gradient-echo spectroscopic imaging (GSI) technique with frequency drift compensation for rapid (
Autor:
Andrew S. Chi, John G. Golfinos, Rajan Jain, Terlika Pandit Sood, Lucidio Neto, Guillaume Madelin, Dimitris G. Placantonakis, Douglas Kondziolka, Chih-Chun Wu
Publikováno v:
Neuroradiology. 60(8)
Recent advances in sodium brain MRI have allowed for increased signal-to-noise ratio, faster imaging, and the ability of differentiating intracellular from extracellular sodium concentration, opening a new window of opportunity for clinical applicati