Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Maria I, Altbach"'
Autor:
Mahesh Bharath Keerthivasan, Sagar Mandava, Kevin Johnson, Ryan Avery, Rajesh Janardhanan, Diego R. Martin, Ali Bilgin, Maria I. Altbach
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 20, Iss 1, Pp 1-13 (2018)
Abstract Background Double inversion recovery (DIR) fast spin-echo (FSE) cardiovascular magnetic resonance (CMR) sequences are used clinically for black-blood T2-weighted imaging. However, these sequences suffer from slice inefficiency due to the non
Externí odkaz:
https://doaj.org/article/25cb407cde764920bb14e64bd353714a
Autor:
Imran M. Omar, Jennifer S. Weaver, Maria I. Altbach, Bradley A. Herynk, Wendy E. McCurdy, Anish R. Kadakia, Mihra S. Taljanovic
Publikováno v:
Skeletal Radiology.
Autor:
Ali Bilgin, Srinivasan Vedantham, Kevin Johnson, Maria I. Altbach, Jean Philippe Galons, Mahesh Bharath Keerthivasan, Zhitao Li, Diego R. Martin, Zhiyang Fu
Publikováno v:
Magnetic Resonance Imaging. 79:28-37
Purpose To develop a fast volumetric T1 mapping technique. Materials and methods A stack-of-stars (SOS) Look Locker technique based on the acquisition of undersampled radial data (>30× relative to Nyquist) and an efficient multi-slab excitation sche
Publikováno v:
Magnetic resonance in medicineREFERENCES. 88(3)
In radial abdominal imaging, it has been commonly observed that signal from the arms cause streaks due to system imperfections. We previously introduced a streak removal technique (B-STAR), which is inherently spatially variant and limited to work in
Autor:
Ali Bilgin, Maria I. Altbach, Diego R. Martin, Zhiyang Fu, Sagar Mandava, Zhitao Li, Mahesh Bharath Keerthivasan, Kevin Johnson
Publikováno v:
Magn Reson Imaging
A deep learning MR parameter mapping framework which combines accelerated radial data acquisition with a multi-scale residual network (MS-ResNet) for image reconstruction is proposed. The proposed supervised learning strategy uses input image patches
Autor:
Blair A. Winegar, Maria I. Altbach, M. Hill, Ali Bilgin, J. M. Miller, L. MacKinnon, Lavanya Umapathy
Publikováno v:
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Fast and accurate quantification of globe volumes in the event of an ocular trauma can provide clinicians with valuable diagnostic information. In this work, an automated workflow using a deep learning-based convolutional neur
Autor:
Jean-Philippe Galons, Maria I. Altbach, Gillian D. Paine-Murrieta, Charles W. Taylor, Robert J. Gillies
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 1, Iss 2, Pp 113-117 (1999)
An important goal in cancer chemotherapy is to sensitively and quantitatively monitor the response of individual patients' tumors to successful, or unsuccessful, therapy so that regimens can be altered iteratively. Currently, tumor response is monito
Externí odkaz:
https://doaj.org/article/f1cdb5c3f742423c88398bff2367631d
Autor:
Maria I. Altbach, Thomas G. Beach, Gene E. Alexander, Francesca Vitali, Eric M. Reiman, Roberta Diaz Brinton, Juan Arias, Craig Weinkauf
Publikováno v:
Alzheimer's & Dementia. 16
Autor:
Zhitao, Li, Zhiyang, Fu, Mahesh, Keerthivasan, Ali, Bilgin, Kevin, Johnson, Jean-Philippe, Galons, Srinivasan, Vedantham, Diego R, Martin, Maria I, Altbach
Publikováno v:
Magn Reson Imaging
PURPOSE: To develop a fast volumetric T(1) mapping technique. MATERIALS AND METHODS: A stack-of-stars (SOS) Look Locker technique based on the acquisition of undersampled radial data (>30X relative to Nyquist) and an efficient multi-slab excitation s
Autor:
Maria I. Altbach, Ali Bilgin, G.G. Perez-Carrillo, J.A. Rosado-Toro, Blair A. Winegar, Lavanya Umapathy, Mahesh Bharath Keerthivasan, Craig Weinkauf
Publikováno v:
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Accurate and reliable detection of white matter hyperintensities and their volume quantification can provide valuable clinical information to assess neurologic disease progression. In this work, a stacked generalization ensemb