Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Armando Manduca"'
Autor:
Keni Zheng, Matthew C Murphy, Emanuele Camerucci, Aaron R Plitt, Xiang Shan, Yi Sui, Armando Manduca, Jamie J Van Gompel, Richard L Ehman, John Huston, Ziying Yin
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0305247 (2024)
Meningiomas, the most prevalent primary benign intracranial tumors, often exhibit complicated levels of adhesion to adjacent normal tissues, significantly influencing resection and causing postoperative complications. Surgery remains the primary ther
Externí odkaz:
https://doaj.org/article/6e3218c334b649a69ab3db21cbed9b6d
Autor:
KowsalyaDevi Pavuluri, Jonathan M. Scott, John Huston III, Richard L. Ehman, Armando Manduca, Clifford R. Jack Jr, Rodolfo Savica, Bradley F. Boeve, Kejal Kantarci, Ronald C. Petersen, David S. Knopman, Matthew C. Murphy
Publikováno v:
NeuroImage: Clinical, Vol 37, Iss , Pp 103328- (2023)
Background: Aging and dementia involve the disruption of brain molecular pathways leading to the alterations in tissue composition and gross morphology of the brain. Phenotypic and biomarker overlap between various etiologies of dementia supports a n
Externí odkaz:
https://doaj.org/article/d8ff43aa660d4ad2bc903b9118b2253b
Autor:
Carrie B. Hruska, Jennifer R. Geske, Tiffinee N. Swanson, Alyssa N. Mammel, David S. Lake, Armando Manduca, Amy Lynn Conners, Dana H. Whaley, Christopher G. Scott, Rickey E. Carter, Deborah J. Rhodes, Michael K. O’Connor, Celine M. Vachon
Publikováno v:
Breast Cancer Research, Vol 20, Iss 1, Pp 1-10 (2018)
Abstract Background Background parenchymal uptake (BPU), which refers to the level of Tc-99m sestamibi uptake within normal fibroglandular tissue on molecular breast imaging (MBI), has been identified as a breast cancer risk factor, independent of ma
Externí odkaz:
https://doaj.org/article/f3e5d7f64a9d41b6991fc06ac33d4247
Autor:
Pengfei Song, Carlos A. Cuellar, Shanshan Tang, Riazul Islam, Hai Wen, Chengwu Huang, Armando Manduca, Joshua D. Trzasko, Bruce E. Knudsen, Kendall H. Lee, Shigao Chen, Igor A. Lavrov
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
This study presents the first implementation of functional ultrasound (fUS) imaging of the spinal cord to monitor local hemodynamic response to epidural electrical spinal cord stimulation (SCS) on two small and large animal models. SCS has been succe
Externí odkaz:
https://doaj.org/article/be718dd7b11f47c7908edde3fad7e760
Autor:
Matthew C. Murphy, David T. Jones, Clifford R. Jack Jr., Kevin J. Glaser, Matthew L. Senjem, Armando Manduca, Joel P. Felmlee, Rickey E. Carter, Richard L. Ehman, John Huston III
Publikováno v:
NeuroImage: Clinical, Vol 10, Iss C, Pp 283-290 (2016)
Magnetic resonance elastography (MRE) is an MRI-based technique to noninvasively measure tissue stiffness. Currently well established for clinical use in the liver, MRE is increasingly being investigated to measure brain stiffness as a novel biomarke
Externí odkaz:
https://doaj.org/article/e2b6c2b8c2444d4e91c8ffeffd142018
Autor:
Matthew C Murphy, John Huston, Clifford R Jack, Kevin J Glaser, Matthew L Senjem, Jun Chen, Armando Manduca, Joel P Felmlee, Richard L Ehman
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e81668 (2013)
To develop a reliable magnetic resonance elastography (MRE)-based method for measuring regional brain stiffness.First, simulation studies were used to demonstrate how stiffness measurements can be biased by changes in brain morphometry, such as those
Externí odkaz:
https://doaj.org/article/b2ce75f3902349f7983ccb5572d6b70f
Autor:
Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca
Publikováno v:
International Journal of Biomedical Imaging, Vol 2011 (2011)
Compressive sensing (CS) describes how sparse signals can be accurately reconstructed from many fewer samples than required by the Nyquist criterion. Since MRI scan duration is proportional to the number of acquired samples, CS has been gaining signi
Externí odkaz:
https://doaj.org/article/5aadbbe74f2948c0bc4e8cdac8c6feff
Autor:
Xiang Shan, Matthew C. Murphy, Yi Sui, Emanuele Camerucci, Keni Zheng, Armando Manduca, Richard L. Ehman, John III Huston, Ziying Yin
Publikováno v:
Journal of Neurotrauma.
Autor:
Jiahui Li, Xin Lu, Zheng Zhu, Kyle J. Kalutkiewicz, Taofic Mounajjed, Terry M. Therneau, Sudhakar K. Venkatesh, Yi Sui, Kevin J. Glaser, Safa Hoodeshenas, Armando Manduca, Vijay H. Shah, Richard L. Ehman, Alina M. Allen, Meng Yin
Publikováno v:
Hepatology.
Autor:
Jonathan M. Scott, KowsalyaDevi Pavuluri, Joshua D. Trzasko, Armando Manduca, Matthew L. Senjem, John Huston, Richard L. Ehman, Matthew C. Murphy
Publikováno v:
Magn Reson Med
PURPOSE: Inversion algorithms used to convert acquired MR elastography wave data into material property estimates often assume that the underlying materials are locally homogeneous. Here we evaluate the impact of that assumption on stiffness estimate