Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Vikas Kotari"'
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Akademický článek
Early tau detection in flortaucipir images: validation in autopsy-confirmed data and implications for disease progression
Autor: Vikas Kotari, Sudeepti Southekal, Michael Navitsky, Ian A. Kennedy, Ming Lu, Amanda Morris, Jennifer Ann Zimmer, Adam S. Fleisher, Mark A. Mintun, Michael D. Devous, Michael J. Pontecorvo
Publikováno v: Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-13 (2023)
Abstract Background There is an increasing interest in utilizing tau PET to identify patients early in Alzheimer’s disease (AD). In this work, a temporal lobe composite (Eτ) volume of interest (VOI) was evaluated in a longitudinal flortaucipir coh
Externí odkaz: https://doaj.org/article/a6fb9f0636fe40f4a7418afc1288ba5a
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2
Akademický článek
Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease
Autor: Sergey Shcherbinin, Amanda Morris, Ixavier A. Higgins, Ilke Tunali, Ming Lu, Carmen Deveau, Sudeepti Southekal, Vikas Kotari, Cynthia D. Evans, Anupa K. Arora, Emily C. Collins, Michael Pontecorvo, Mark A. Mintun, John R. Sims
Publikováno v: Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 9, Iss 3, Pp n/a-n/a (2023)
Abstract INTRODUCTION Alzheimer's disease (AD) is characterized by the presence of both amyloid and tau pathology. In vivo diagnosis can be made with amyloid and tau positron emission tomography (PET) imaging. Emergent evidence supports that amyloid
Externí odkaz: https://doaj.org/article/ab842ff432c0473d94e3cf6ace32976f
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8
Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis
Autor: Racha Salha, Marco Salvetti, Emily Wood, Vikas Kotari, Dana Wang, Larry Tang, Francesca Bagnato, Giovanni Ristori, Vasiliki N. Ikonomidou
Publikováno v: Journal of Neuroimaging. 28:70-78
BACKGROUND AND PURPOSE To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification. METHODS Postcontrast T1-wei
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a49ad4f555d2fb9d823c31ef3e62fdb
https://doi.org/10.1111/jon.12479
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10
Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis
Autor: Vikas, Kotari, Racha, Salha, Dana, Wang, Emily, Wood, Marco, Salvetti, Giovanni, Ristori, Larry, Tang, Francesca, Bagnato, Vasiliki N, Ikonomidou
To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification.Postcontrast TLesion activity detection resulted in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::63ab9eafca2d65cddbca219187d227ca
http://hdl.handle.net/11573/1080291
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