Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Enlin Qian"'
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:
Advances in Human-Computer Interaction, Vol 2016 (2016)
Phantom limb is the sensation amputees may feel when the missing limb is still attached to the body and is still moving as it would if it still existed. Despite there being between 50 and 80% of amputees who report neuropathic pain, also known as pha
Externí odkaz:
https://doaj.org/article/90caa91256024c58b7b8509d3abca0c7
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
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
PurposeBrain and spinal cord tumors are the second most common cancer in children and account for one out of four cancers diagnosed. However, the long acquisition times associated with acquiring both data types prohibit using quantitative MR (qMR) in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::282e25ba08ff404f7d298a916603bfdb
https://doi.org/10.1101/2022.09.22.22279737
https://doi.org/10.1101/2022.09.22.22279737
Autor:
Pavan Poojar, Enlin Qian, Maggie Fung, Patrick Quarterman, Sachin R. Jambawalikar, Angela Lignelli, Sairam Geethanath
Neuroimaging of certain pathologies requires both multi-parametric qualitative and quantitative imaging. The role of the quantitative MRI (qMRI) is well accepted but suffers from long acquisition times leading to patient discomfort, especially in ger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f0ac21c566c1a86c154f4f5956ef4d
https://doi.org/10.1101/2022.09.15.22279855
https://doi.org/10.1101/2022.09.15.22279855
Autor:
Matteo Cencini, Rolf F. Schulte, Sairam Geethanath, Maggie Fung, Lawrence H. Schwartz, Michela Tosetti, Enlin Qian, Pedro A. Gómez, Nancy A. Obuchowski, Amita Shukla-Dave, Amaresha Shridhar Konar, Guido Buonincontri
Publikováno v:
Med Phys
PURPOSE: To compare the bias and inherent reliability of the quantitative (T(1) and T(2)) imaging metrics generated from the Magnetic Resonance Fingerprinting (MRF) technique using the ISMRM/NIST system phantom in an international multi-center settin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac787a7e41a700762b0c0f72c34a55d6
https://europepmc.org/articles/PMC9284672/
https://europepmc.org/articles/PMC9284672/