Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Arvind Balachandrasekaran"'
Autor:
H. Michael Gach, Weiying Dai, Oscar L. Lopez, Yulin Ge, Lewis H Kuller, James T. Becker, Cyrus A. Raji, Arvind Balachandrasekaran, Zongpai Zhang, Tony D. Zhou
Publikováno v:
Aging and disease.
Cerebral Blood Flow Is Associated with Diagnostic Class and Cognitive Decline in Alzheimer's Disease
Autor:
Arvind Balachandrasekaran, James T. Becker, Oscar L. Lopez, H. Michael Gach, Weiying Dai, Wenna Duan, Ashish B. Bhumkar, Paresh B. Boraste, Parshant Sehrawat, Lewis H. Kuller
Publikováno v:
J Alzheimers Dis
BACKGROUND: Reliable cerebral blood flow (CBF) biomarkers using a noninvasive imaging technique are sought to facilitate early diagnosis and intervention in early Alzheimer’s disease (AD). OBJECTIVE: We aim to identify brain regions in which CBF va
Autor:
Arvind Balachandrasekaran, Stanley J. Kruger, Mathews Jacob, Merry Mani, Stephen L. Siemonsma
Publikováno v:
ISBI
Proc IEEE Int Symp Biomed Imaging
Proc IEEE Int Symp Biomed Imaging
Echo-planar imaging (EPI), which is the main workhorse of functional MRI, suffers from field inhomogeneity-induced geometric distortions. The amount of distortion is proportional to the readout duration, which restricts the maximum achievable spatial
Publikováno v:
IEEE Trans Med Imaging
We introduce a structured low rank algorithm for the calibration-free compensation of field inhomogeneity artifacts in Echo Planar Imaging (EPI) MRI data. We acquire the data using two EPI readouts that differ in echo-time (TE). Using time segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433438d9496bb0fb3c4eca7592845fe7
http://arxiv.org/abs/1804.07436
http://arxiv.org/abs/1804.07436
Autor:
Dimitri Van De Ville, Yue Lu, Arvind Balachandrasekaran, Gregory Ongie, Manos Papadakis, Mathews Jacob, Sampurna Biswas
Publikováno v:
Wavelets and Sparsity XVII.
Publikováno v:
IEEE transactions on medical imaging. 36(10)
We introduce a structured low rank matrix completion algorithm to recover a series of images from their under-sampled measurements, where the signal along the parameter dimension at every pixel is described by a linear combination of exponentials. We
Publikováno v:
Proc Int Conf Image Proc
ICIP
ICIP
We introduce a fast structured low-rank matrix completion algorithm with low memory & computational demand to recover the dynamic MRI data from undersampled measurements. The 3-D dataset is modeled as a piecewise smooth signal, whose discontinuities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b7aa66f98c9e7fe33d0d5c50f03010
https://europepmc.org/articles/PMC7885618/
https://europepmc.org/articles/PMC7885618/
Publikováno v:
ISBI
We introduce a self-expressiveness prior to exploit the redundancies between voxel profiles in dynamic MRI. Specifically, we express the temporal profile of each voxel in the dataset as a sparse linear combination of temporal profiles of other voxels
Publikováno v:
Photonic Therapeutics and Diagnostics VI.
Specific absorption rate (SAR) heating using radiofrequency (RF) waves is affected by the RF frequency and amplitude, and the conductivity of the tissue. Recently, conductive nanoparticles were demonstrated to induce hyperthermia in vitro and in vivo