SU-FF-I-128: Effects of Slice Orientation and Parallel Acquisition On EPI-Based PASL Perfusion Imaging in Areas with Susceptibility Artifact

2009 ◽  
Vol 36 (6Part4) ◽  
pp. 2464-2464
Author(s):  
S Cheng ◽  
W Kuan ◽  
Y Hsu ◽  
K Lim ◽  
H Liu
Keyword(s):  
Perfusion Imaging ◽  
Parallel Acquisition ◽  
Susceptibility Artifact ◽  
Slice Orientation

SNR-optimized myocardial perfusion imaging using parallel acquisition for effective density-weighted saturation recovery imaging

2010 ◽  
Vol 28 (3) ◽  
pp. 341-350 ◽  
Author(s):  
Marcel Gutberlet ◽  
Oliver Geier ◽  
Daniel Stäb ◽  
Christian Ritter ◽  
Meinrad Beer ◽  
...  
Keyword(s):  
Myocardial Perfusion Imaging ◽  
Myocardial Perfusion ◽  
Perfusion Imaging ◽  
Saturation Recovery ◽  
Effective Density ◽  
Parallel Acquisition

scholarly journals Quantitative High-Resolution Renal Perfusion Imaging Using 3-Dimensional Through-Time Radial Generalized Autocalibrating Partially Parallel Acquisition

2014 ◽  
Vol 49 (10) ◽  
pp. 666-674 ◽  
Author(s):  
Katherine L. Wright ◽  
Yong Chen ◽  
Haris Saybasili ◽  
Mark A. Griswold ◽  
Nicole Seiberlich ◽  
...  
Keyword(s):  
High Resolution ◽  
Perfusion Imaging ◽  
Renal Perfusion ◽  
Parallel Acquisition ◽  
3 Dimensional

scholarly journals Free-Breathing Liver Perfusion Imaging Using 3-Dimensional Through-Time Spiral Generalized Autocalibrating Partially Parallel Acquisition Acceleration

2015 ◽  
Vol 50 (6) ◽  
pp. 367-375 ◽  
Author(s):  
Yong Chen ◽  
Gregory R. Lee ◽  
Katherine L. Wright ◽  
Chaitra Badve ◽  
Dean Nakamoto ◽  
...  
Keyword(s):  
Perfusion Imaging ◽  
Liver Perfusion ◽  
Free Breathing ◽  
Parallel Acquisition ◽  
3 Dimensional

scholarly journals Quantitative myocardial perfusion imaging using different autocalibrated parallel acquisition techniques

2008 ◽  
Vol 28 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Stefan Weber ◽  
Andrea Kronfeld ◽  
R. Peter Kunz ◽  
Kerstin Muennemann ◽  
Georg Horstick ◽  
...  
Keyword(s):  
Myocardial Perfusion Imaging ◽  
Myocardial Perfusion ◽  
Perfusion Imaging ◽  
Parallel Acquisition ◽  
Quantitative Myocardial Perfusion

STAR-HASTE: Perfusion imaging without magnetic susceptibility artifact

1997 ◽  
Vol 38 (3) ◽  
pp. 404-408 ◽  
Author(s):  
Qun Chen ◽  
Bettina Siewert ◽  
Benjamin Martin Bly ◽  
Steven Warach ◽  
Robert R. Edelman
Keyword(s):  
Magnetic Susceptibility ◽  
Perfusion Imaging ◽  
Susceptibility Artifact ◽  
Magnetic Susceptibility Artifact

Direct measurement of electron-diffraction-pattern intensities using an energy loss spectrometer

1989 ◽  
Vol 47 ◽  
pp. 668-669
Author(s):  
A. G. Jackson ◽  
M. Rowe
Keyword(s):  
Thermal Effects ◽  
Dynamic Range ◽  
Scattering Amplitude ◽  
Dynamical Theory ◽  
Site Symmetry ◽  
Proof Of Concept ◽  
Parallel Acquisition ◽  
Kinematic Approximation ◽  
Speed Up ◽  
Structure Calculations

Diffraction intensities from intermetallic compounds are, in the kinematic approximation, proportional to the scattering amplitude from the element doing the scattering. More detailed calculations have shown that site symmetry and occupation by various atom species also affects the intensity in a diffracted beam. [1] Hence, by measuring the intensities of beams, or their ratios, the occupancy can be estimated. Measurement of the intensity values also allows structure calculations to be made to determine the spatial distribution of the potentials doing the scattering. Thermal effects are also present as a background contribution. Inelastic effects such as loss or absorption/excitation complicate the intensity behavior, and dynamical theory is required to estimate the intensity value.The dynamic range of currents in diffracted beams can be 104or 105:1. Hence, detection of such information requires a means for collecting the intensity over a signal-to-noise range beyond that obtainable with a single film plate, which has a S/N of about 103:1. Although such a collection system is not available currently, a simple system consisting of instrumentation on an existing STEM can be used as a proof of concept which has a S/N of about 255:1, limited by the 8 bit pixel attributes used in the electronics. Use of 24 bit pixel attributes would easily allowthe desired noise range to be attained in the processing instrumentation. The S/N of the scintillator used by the photoelectron sensor is about 106 to 1, well beyond the S/N goal. The trade-off that must be made is the time for acquiring the signal, since the pattern can be obtained in seconds using film plates, compared to 10 to 20 minutes for a pattern to be acquired using the digital scan. Parallel acquisition would, of course, speed up this process immensely.

Perfusion imaging

2000 ◽  
Vol 35 (5) ◽  
pp. 29-31 ◽  
Author(s):  
G BELLER
Keyword(s):  
Perfusion Imaging
Sign in / Sign up

Export Citation Format

Share Document