Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Uran Ferizi"'
Autor:
David J. Piekarski, Natalie M. Zahr, Qingyu Zhao, Uran Ferizi, Kilian M. Pohl, Edith V. Sullivan, Adolf Pfefferbaum
Publikováno v:
Neuroimage: Reports, Vol 3, Iss 3, Pp 100179- (2023)
As direct evaluation of a mouse model of human neurodevelopment, adolescent and young adult mice and humans underwent MR diffusion tensor imaging to quantify age-related differences in microstructural integrity of brain white matter fibers. Fractiona
Externí odkaz:
https://doaj.org/article/ac04b80ce71d47cba820051e83fd1a03
Publikováno v:
Physics in Medicine & Biology. 68:05NT01
Objective. To document the bias of the simplified free water model of diffusion MRI (dMRI) signal vis-à-vis a specific model which, in addition to diffusion, incorporates compartment-specific proton density (PD), T1 recovery during repetition time (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93a4071af507f02f58fdffbfd3725c0
https://doi.org/10.1088/1361-6560/acb30b
https://doi.org/10.1088/1361-6560/acb30b
Autor:
Cheng Chen, Gregory Chang, Punam K. Saha, Harrison Besser, Uran Ferizi, Chamith S. Rajapakse, Joseph G. Jacobs, Stephen Honig, Pirro G. Hysi
Publikováno v:
J Magn Reson Imaging
BACKGROUND A current challenge in osteoporosis is identifying patients at risk of bone fracture. PURPOSE To identify the machine learning classifiers that predict best osteoporotic bone fractures and, from the data, to highlight the imaging features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ac63611aa0b15db498c24022391e097
https://doi.org/10.1002/jmri.26280
https://doi.org/10.1002/jmri.26280
Publikováno v:
Magnetic Resonance in Medicine. 79:1157-1164
Purpose Diffusion tensor imaging (DTI) of articular cartilage is a promising technique for the early diagnosis of osteoarthritis (OA). However, in vivo diffusion tensor (DT) measurements suffer from low signal-to-noise ratio (SNR) that can result in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275683a78ee95c40440d74d099495e5d
https://doi.org/10.1002/mrm.26702
https://doi.org/10.1002/mrm.26702
Publikováno v:
Curr Opin Rheumatol
PURPOSE: The application of Artificial Intelligence tools has found new recent applications in medical applications. These tools have the potential to capture underlying trends and patterns, otherwise impossible with previous modeling capabilities. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcb18c812df23b7826c218ec003f195
https://pubmed.ncbi.nlm.nih.gov/31045948
https://pubmed.ncbi.nlm.nih.gov/31045948
VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient
Autor:
Edward W, Johnston, Elisenda, Bonet-Carne, Uran, Ferizi, Ben, Yvernault, Hayley, Pye, Dominic, Patel, Joey, Clemente, Wivijin, Piga, Susan, Heavey, Harbir S, Sidhu, Francesco, Giganti, James, O'Callaghan, Mrishta, Brizmohun Appayya, Alistair, Grey, Alexandra, Saborowska, Sebastien, Ourselin, David, Hawkes, Caroline M, Moore, Mark, Emberton, Hashim U, Ahmed, Hayley, Whitaker, Manuel, Rodriguez-Justo, Alexander, Freeman, David, Atkinson, Daniel, Alexander, Eleftheria, Panagiotaki, Shonit, Punwani
Background Biologic specificity of diffusion MRI in relation to prostate cancer aggressiveness may improve by examining separate components of the diffusion MRI signal. The Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors (VE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::f3605441a6d3f34c388abc07ac5838af
http://hdl.handle.net/10044/1/76696
http://hdl.handle.net/10044/1/76696
Autor:
Youjin Lee, Uran Ferizi, Oran D. Kennedy, Thorsten Kirsch, Jenny T. Bencardino, Matin Lendhey, Ignacio Rossi, José G. Raya, Jason Teplensky
Publikováno v:
Magnetic Resonance in Medicine. 78:69-78
PURPOSE We establish a mechanical injury model for articular cartilage to assess the sensitivity of diffusion tensor imaging (DTI) in detecting cartilage damage early in time. Mechanical injury provides a more realistic model of cartilage degradation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::114d9372fb9df810fdccacdfe46fb59b
https://doi.org/10.1002/mrm.26336
https://doi.org/10.1002/mrm.26336
Publikováno v:
Osteoarthritis and Cartilage. 24:S283-S285
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4eff4f3c98ca0be1334320f84a88a9
https://doi.org/10.1016/j.joca.2016.01.524
https://doi.org/10.1016/j.joca.2016.01.524
Autor:
José G. Raya, Uran Ferizi
Publikováno v:
Biophysics and Biochemistry of Cartilage by NMR and MRI ISBN: 9781782621331
In this chapter we revisit the experimental basis supporting the use of magnetic resonance imaging (MRI) to diagnose cartilage degeneration. We include those MRI parameters that are measured in vivo on clinical scanners (Chapter 23). Clinical MRI can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49a0ec1528f698736f7879bda6927425
https://doi.org/10.1039/9781782623663-00575
https://doi.org/10.1039/9781782623663-00575
Publikováno v:
Magnetic resonance in medicine. 79(2)
Diffusion tensor imaging (DTI) of articular cartilage is a promising technique for the early diagnosis of osteoarthritis (OA). However, in vivo diffusion tensor (DT) measurements suffer from low signal-to-noise ratio (SNR) that can result in bias whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a12b6118ab99b6a8578ff0427afd059d
https://pubmed.ncbi.nlm.nih.gov/28556394
https://pubmed.ncbi.nlm.nih.gov/28556394