scholarly journals Automatic segmentation propagation of the aorta in real-time phase contrast MRI using nonrigid registration

2010 ◽  
Vol 33 (1) ◽  
pp. 232-238 ◽  
Author(s):  
Freddy Odille ◽  
Jennifer A. Steeden ◽  
Vivek Muthurangu ◽  
David Atkinson
Keyword(s):  
Real Time ◽  
Phase Contrast ◽  
Automatic Segmentation ◽  
Nonrigid Registration ◽  
Phase Contrast Mri

scholarly journals Assessing arterial blood flow and vessel area variations using real-time zonal phase-contrast MRI

2006 ◽  
Vol 23 (3) ◽  
pp. 422-429 ◽  
Author(s):  
Markus Oelhafen ◽  
Juerg Schwitter ◽  
Sebastian Kozerke ◽  
Roger Luechinger ◽  
Peter Boesiger
Keyword(s):  
Blood Flow ◽  
Real Time ◽  
Phase Contrast ◽  
Arterial Blood Flow ◽  
Phase Contrast Mri ◽  
Vessel Area ◽  
Arterial Blood

scholarly journals Aortic Pulse Wave Velocities Using Real-Time Phase-Contrast MRI

2015 ◽  
Vol 9 (1) ◽  
pp. 9-14
Author(s):  
Arun A. Joseph ◽  
Martin Fasshauser ◽  
Klaus-Dietmar Merboldt ◽  
Jens Frahm
Keyword(s):  
Real Time ◽  
Phase Contrast ◽  
Cross Correlation ◽  
Pulse Wave ◽  
Nonlinear Inversion ◽  
Close Correspondence ◽  
Phase Contrast Mri ◽  
Wave Velocities ◽  
Cross Correlation Analysis ◽  
Phase Sensitive

Purpose: To evaluate aortic pulse wave velocities obtained by real-time phase-contrast (PC) MRI in comparison to cine PC MRI. Methods: Real-time PC MRI of eight healthy volunteers employed highly undersampled radial FLASH sequences and phase-sensitive image reconstructions by regularized nonlinear inversion (NLINV) at 40 ms temporal resolution and 1.3 mm in-plane resolution. Pulse wave velocities were analyzed for combinations of 2, 3 and 4 locations of aortic flow using time-to-upslope and cross-correlation methods. Results: For the time-to-upslope analysis mean pulse wave velocities ranged from 3.5 to 3.9 m s-1 for real-time PC MRI and from 3.5 to 3.8 m s-1 for cine PC MRI. A cross-correlation analysis of the same data resulted in 2.9 to 3.3 m s-1 and 3.3 to 3.7 m s-1, respectively. Conclusion: Real-time PC MRI determined aortic pulse wave velocities from single cardiac cycles in close correspondence to values obtained by cine PC MRI.

scholarly journals Velocity vector reconstruction for real‐time phase‐contrast MRI with radial Maxwell correction

2021 ◽  
Author(s):  
Jost M. Kollmeier ◽  
Oleksandr Kalentev ◽  
Jakob Klosowski ◽  
Dirk Voit ◽  
Jens Frahm
Keyword(s):  
Real Time ◽  
Phase Contrast ◽  
Velocity Vector ◽  
Phase Contrast Mri

scholarly journals Real-time phase-contrast MRI of cardiovascular blood flow using undersampled radial fast low-angle shot and nonlinear inverse reconstruction

2011 ◽  
Vol 25 (7) ◽  
pp. 917-924 ◽  
Author(s):  
Arun A. Joseph ◽  
Klaus-Dietmar Merboldt ◽  
Dirk Voit ◽  
Shuo Zhang ◽  
Martin Uecker ◽  
...  
Keyword(s):  
Blood Flow ◽  
Real Time ◽  
Phase Contrast ◽  
Phase Contrast Mri ◽  
Inverse Reconstruction ◽  
Cardiovascular Blood Flow

Quantifying the influence of respiration and cardiac pulsations on cerebrospinal fluid dynamics using real-time phase-contrast MRI

2017 ◽  
Vol 46 (2) ◽  
pp. 431-439 ◽  
Author(s):  
Selda Yildiz ◽  
Suraj Thyagaraj ◽  
Ning Jin ◽  
Xiaodong Zhong ◽  
Soroush Heidari Pahlavian ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Cerebrospinal Fluid ◽  
Real Time ◽  
Phase Contrast ◽  
Cerebrospinal Fluid Dynamics ◽  
Phase Contrast Mri

scholarly journals Measurement of Tongue Tip Velocity from Real-Time MRI and Phase-Contrast Cine-MRI in Consonant Production

2020 ◽  
Vol 6 (5) ◽  
pp. 31 ◽  
Author(s):  
Karyna Isaieva ◽  
Yves Laprie ◽  
Freddy Odille ◽  
Ioannis K. Douros ◽  
Jacques Felblinger ◽  
...  
Keyword(s):  
Real Time ◽  
Phase Contrast ◽  
Sagittal Plane ◽  
Cine Mri ◽  
Resonance Imaging ◽  
Phase Contrast Mri ◽  
French Speaking ◽  
Magnetic Resonance Imaging Mri ◽  
Tip Velocity ◽  
Approach Phase

We evaluate velocity of the tongue tip with magnetic resonance imaging (MRI) using two independent approaches. The first one consists in acquisition with a real-time technique in the mid-sagittal plane. Tracking of the tongue tip manually and with a computer vision method allows its trajectory to be found and the velocity to be calculated as the derivative of the coordinate. We also propose to use another approach—phase contrast MRI—which enables velocities of the moving tissues to be measured directly. We recorded the sound simultaneously with the MR acquisition which enabled us to make conclusions regarding the relation between the movements and the sound. We acquired the data from two French-speaking subjects articulating /tata/. The results of both methods are in qualitative agreement and are consistent with other reviewer techniques used for evaluation of the tongue tip velocity.

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