Cardiac motion correction based on partial angle reconstructed images in x-ray CT

2015 ◽  
Vol 42 (5) ◽  
pp. 2560-2571 ◽  
Author(s):  
Seungeon Kim ◽  
Yongjin Chang ◽  
Jong Beom Ra
Keyword(s):  
Motion Correction ◽  
Cardiac Motion ◽  
X Ray

scholarly journals Respiratory and cardiac motion correction in dual gated PET/MR imaging

2015 ◽  
Vol 2 (S1) ◽  
Author(s):  
Hadi Fayad ◽  
Florian Monnier ◽  
Freedy Odille ◽  
Jacques Felblinger ◽  
Frederic Lamare ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Motion Correction ◽  
Cardiac Motion ◽  
Gated Pet

scholarly journals Motion correction for routine X-ray lung CT imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Doil Kim ◽  
Jiyoung Choi ◽  
Duhgoon Lee ◽  
Hyesun Kim ◽  
Jiyoung Jung ◽  
...  
Keyword(s):  
Motion Estimation ◽  
Motion Correction ◽  
Ct Imaging ◽  
Motion Artifacts ◽  
Ct Scans ◽  
Breath Hold ◽  
X Ray ◽  
Wide Range ◽  
Thorax Ct ◽  
Lung Ct

AbstractA novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstruction images for motion estimation via non-rigid registration which is followed by a motion compensated reconstruction. Differently from other conventional approaches, no segmentation is adopted in motion estimation. This makes motion estimation of various fine lung structures possible. The aim of this study is to explore the performance of the proposed method in correcting the lung motion artifacts which arise even under routine CT scans with breath-hold. The artifacts are known to mimic various lung diseases, so it is of great interest to address the problem. For that purpose, a moving phantom experiment and clinical study (seven cases) were conducted. We selected the entropy and positivity as figure of merits to compare the reconstructed images before and after the motion correction. Results of both phantom and clinical studies showed a statistically significant improvement by the proposed method, namely up to 53.6% (p < 0.05) and up to 35.5% (p < 0.05) improvement by means of the positivity measure, respectively. Images of the proposed method show significantly reduced motion artifacts of various lung structures such as lung parenchyma, pulmonary vessels, and airways which are prominent in FBP images. Results of two exemplary cases also showed great potential of the proposed method in correcting motion artifacts of the aorta which is known to mimic aortic dissection. Compared to other approaches, the proposed method provides an excellent performance and a fully automatic workflow. In addition, it has a great potential to handle motions in wide range of organs such as lung structures and the aorta. We expect that this would pave a way toward innovations in chest and thorax CT imaging.

scholarly journals High efficiency coronary MR angiography with nonrigid cardiac motion correction

2016 ◽  
Vol 76 (5) ◽  
pp. 1345-1353 ◽  
Author(s):  
Jianing Pang ◽  
Yuhua Chen ◽  
Zhaoyang Fan ◽  
Christopher Nguyen ◽  
Qi Yang ◽  
...  
Keyword(s):  
Motion Correction ◽  
Mr Angiography ◽  
High Efficiency ◽  
Cardiac Motion ◽  
Coronary Mr Angiography

Cardiac-motion correction for helical CT

2009 ◽  
Author(s):  
A.A. Isola ◽  
U. van Stevendaal ◽  
D. Schaefer ◽  
W.J. Niessen ◽  
M. Grass
Keyword(s):  
Motion Correction ◽  
Helical Ct ◽  
Cardiac Motion

Evaluation of respiratory and cardiac motion correction schemes in dual gated PET/CT cardiac imaging

2014 ◽  
Vol 41 (7) ◽  
pp. 072504 ◽  
Author(s):  
F. Lamare ◽  
A. Le Maitre ◽  
M. Dawood ◽  
K. P. Schäfers ◽  
P. Fernandez ◽  
...  
Keyword(s):  
Cardiac Imaging ◽  
Motion Correction ◽  
Cardiac Motion ◽  
Gated Pet ◽  
Pet Ct

Prospective motion correction of X-ray images for coronary interventions

2005 ◽  
Vol 24 (4) ◽  
pp. 441-450 ◽  
Author(s):  
G. Shechter ◽  
B. Shechter ◽  
J.R. Resar ◽  
R. Beyar
Keyword(s):  
Motion Correction ◽  
X Ray ◽  
Coronary Interventions
Sign in / Sign up

Export Citation Format

Share Document