Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Sairam, Geethanath"'
Publikováno v:
Frontiers in Neuroimaging, Vol 2 (2023)
Externí odkaz:
https://doaj.org/article/1ee6011af9b34166bfab711a2b0cde84
Autor:
Keerthi Sravan Ravi, Gautham Nandakumar, Nikita Thomas, Mason Lim, Enlin Qian, Marina Manso Jimeno, Pavan Poojar, Zhezhen Jin, Patrick Quarterman, Girish Srinivasan, Maggie Fung, John Thomas Vaughan, Sairam Geethanath
Publikováno v:
Frontiers in Neuroimaging, Vol 2 (2023)
Magnetic Resonance Imaging (MR Imaging) is routinely employed in diagnosing Alzheimer's Disease (AD), which accounts for up to 60–80% of dementia cases. However, it is time-consuming, and protocol optimization to accelerate MR Imaging requires loca
Externí odkaz:
https://doaj.org/article/ef2ea0d2c0414b6688a922eef7333e46
Autor:
Gehua Tong, Andreia S. Gaspar, Enlin Qian, Keerthi Sravan Ravi, John Thomas Vaughan, Rita G. Nunes, Sairam Geethanath
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108105- (2022)
Raw data, simulated and acquired phantom images, and quantitative longitudinal and transverse relaxation times (T1/T2) maps from two open-source Magnetic Resonance Imaging (MRI) pulse sequences are presented in this dataset along with corresponding
Externí odkaz:
https://doaj.org/article/12c0f01b03a54996b3006b4b13c6bfcf
Publikováno v:
International Journal of Yoga, Vol 14, Iss 1, Pp 43-49 (2021)
Context and Aims: Effects of practicing yoga in diabetic mellitus (DM) patients have been identified to improve in control of blood glucose levels. The purpose of this work is to evaluate changes in blood flow of calf muscles after specific yoga post
Externí odkaz:
https://doaj.org/article/dcd755b4ff474302a2aba6c73a2833ee
Autor:
Francis X. Shen, Susan M. Wolf, Supriya Bhavnani, Sean Deoni, Jed T. Elison, Damien Fair, Michael Garwood, Michael S. Gee, Sairam Geethanath, Kendrick Kay, Kelvin O. Lim, Georgia Lockwood Estrin, Monica Luciana, David Peloquin, Karen Rommelfanger, Nicoline Schiess, Khan Siddiqui, Efraín Torres, J. Thomas Vaughan
Publikováno v:
NeuroImage, Vol 238, Iss , Pp 118210- (2021)
Smaller, more affordable, and more portable MRI brain scanners offer exciting opportunities to address unmet research needs and long-standing health inequities in remote and resource-limited international settings. Field-based neuroimaging research i
Externí odkaz:
https://doaj.org/article/d854cc161179441c94665cd60d0483a2
Autor:
Pavan Poojar, Enlin Qian, Tiago T. Fernandes, Rita G. Nunes, Maggie Fung, Patrick Quarterman, Sachin R. Jambawalikar, Angela Lignelli, Sairam Geethanath
Publikováno v:
Magnetic Resonance Imaging. 99:81-90
Publikováno v:
NMR in Biomedicine.
Presently, Magnetic Resonance Imaging (MRI) magnets must deliver excellent magnetic field (B0) uniformity to achieve optimum image quality. Long magnets can satisfy the homogeneity requirements but require considerable superconducting material. These
Autor:
Gehua Tong, Andreia S. Gaspar, Sairam Geethanath, Rita G. Nunes, Keerthi Sravan Ravi, John Thomas Vaughan, Enlin Qian
Publikováno v:
Magnetic Resonance Imaging. 87:7-18
Open-source pulse sequence programs offer an accessible and transparent approach to sequence development and deployment. However, a common framework for testing, documenting, and sharing open-source sequences is still needed to ensure sequence usabil
Publikováno v:
Medical Physics. 49:1673-1685
The goals of this study include: (a) generating tailored magnetic resonance fingerprinting (TMRF) based non-synthetic imaging; (b) assessing the repeatability of TMRF and deep learning-based mapping of in vitro ISMRM/NIST phantom and in vivo brain da
Autor:
Enlin Qian, Pavan Poojar, Maggie Fung, Zhezhen Jin, Thomas Vaughan, Devashish Shrivastava, David Gultekin, Tiago Fernandes, Sairam Geethanath
The purpose of this study is to demonstrate the first work of T1-based magnetic resonance thermometry using magnetic resonance fingerprinting (dubbed MRFT). We compared temperature estimation of MRFT with proton resonance frequency shift (PRFS) therm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ec24ddf62594f6355d103189f0c3206
https://doi.org/10.1101/2023.01.11.523421
https://doi.org/10.1101/2023.01.11.523421