TH-CD-204-09: Physiological Modeling of Lung Motion Based On Hyperpolarized Gas Tagging MRI

2015 ◽  
Vol 42 (6Part43) ◽  
pp. 3733-3733
Author(s):  
T Cui ◽  
L Hu ◽  
W Miller ◽  
F Yin ◽  
J Cai
Keyword(s):  
Physiological Modeling ◽  
Hyperpolarized Gas ◽  
Lung Motion ◽  
Tagging Mri

MO-G-18C-03: Evaluation of Deformable Image Registration for Lung Motion Estimation Using Hyperpolarized Gas Tagging MRI

2014 ◽  
Vol 41 (6Part25) ◽  
pp. 439-440
Author(s):  
Q Huang ◽  
Y Zhang ◽  
Y Liu ◽  
L Hu ◽  
W Miller ◽  
...  
Keyword(s):  
Image Registration ◽  
Motion Estimation ◽  
Deformable Image Registration ◽  
Hyperpolarized Gas ◽  
Lung Motion ◽  
Tagging Mri

scholarly journals A hybrid proton and hyperpolarized gas tagging MRI technique for lung respiratory motion imaging: a feasibility study

2019 ◽  
Vol 64 (10) ◽  
pp. 105019
Author(s):  
Lei Hu ◽  
Qijie Huang ◽  
Taoran Cui ◽  
Isabella Duarte ◽  
G Wilson Miller ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Respiratory Motion ◽  
Hyperpolarized Gas ◽  
Motion Imaging ◽  
Tagging Mri

scholarly journals Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Kunlin Cao ◽  
Kai Ding ◽  
Joseph M. Reinhardt ◽  
Gary E. Christensen
Keyword(s):  
Cost Function ◽  
Human Subjects ◽  
Deformation Pattern ◽  
Jacobian Determinant ◽  
Registration Accuracy ◽  
Positioning Errors ◽  
Lung Motion ◽  
Volumetric Ct ◽  
Volumetric Registration ◽  
Vessel Tree

Accurate pulmonary image registration is a challenging problem when the lungs have a deformation with large distance. In this work, we present a nonrigid volumetric registration algorithm to track lung motion between a pair of intrasubject CT images acquired at different inflation levels and introduce a new vesselness similarity cost that improves intensity-only registration. Volumetric CT datasets from six human subjects were used in this study. The performance of four intensity-only registration algorithms was compared with and without adding the vesselness similarity cost function. Matching accuracy was evaluated using landmarks, vessel tree, and fissure planes. The Jacobian determinant of the transformation was used to reveal the deformation pattern of local parenchymal tissue. The average matching error for intensity-only registration methods was on the order of 1 mm at landmarks and 1.5 mm on fissure planes. After adding the vesselness preserving cost function, the landmark and fissure positioning errors decreased approximately by 25% and 30%, respectively. The vesselness cost function effectively helped improve the registration accuracy in regions near thoracic cage and near the diaphragm for all the intensity-only registration algorithms tested and also helped produce more consistent and more reliable patterns of regional tissue deformation.

Lung ventilation volumetry with same-breath acquisition of hyperpolarized gas and proton MRI

2014 ◽  
Vol 27 (12) ◽  
pp. 1461-1467 ◽  
Author(s):  
F. C. Horn ◽  
B. A. Tahir ◽  
N. J. Stewart ◽  
G. J. Collier ◽  
G. Norquay ◽  
...  
Keyword(s):  
Lung Ventilation ◽  
Hyperpolarized Gas ◽  
Proton Mri

scholarly journals Dynamic MRI of Grid-Tagged Hyperpolarized Helium-3 for the Assessment of Lung Motion During Breathing

2009 ◽  
Vol 75 (1) ◽  
pp. 276-284 ◽  
Author(s):  
Jing Cai ◽  
Ke Sheng ◽  
Stanley H. Benedict ◽  
Paul W. Read ◽  
James M. Larner ◽  
...  
Keyword(s):  
Dynamic Mri ◽  
Hyperpolarized Helium ◽  
Lung Motion ◽  
Helium 3

scholarly journals Spatially resolved measurements of hyperpolarized gas properties in the lung in vivo. Part I: Diffusion coefficient

1999 ◽  
Vol 42 (4) ◽  
pp. 721-728 ◽  
Author(s):  
X. Josette Chen ◽  
Harald E. M�ller ◽  
Mark S. Chawla ◽  
Gary P. Cofer ◽  
Bastiaan Driehuys ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Spatially Resolved ◽  
Hyperpolarized Gas ◽  
Gas Properties
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