@Article{mcb.2019.07383,
AUTHOR = {Maosen Lian, Yi Li, Xiaohui Gu, Shouhua Luo},
TITLE = {A Retrospective Respiratory Gating System Based on Epipolar Consistency Conditions},
JOURNAL = {Molecular \& Cellular Biomechanics},
VOLUME = {17},
YEAR = {2020},
NUMBER = {1},
PAGES = {41--48},
URL = {http://www.techscience.com/mcb/v17n1/38299},
ISSN = {1556-5300},
ABSTRACT = {Motion artifacts of in vivo imaging, due to rapid respiration rate and 
respiration displacements of the mice while free-breathing, is a major challenge in 
micro computed tomography(micro-CT). The respiratory gating is often served for
either projective images acquisition or per projection qualification, so as to 
eliminate the artifacts brought by <i>in vivo</i> motion. In this paper, we propose a novel 
respiratory gating method, which firstly divides one rotation cycle into a number 
of segments, and extracts the respiratory signal from the projective image series 
of current segment by the value of the epipolar consistency conditions (ECC), then 
in terms of the measured average respiratory period, sets next segment’s start-up 
time and rotation speed of the gantry for respiratory phase synchronization, and so 
on so forth. The gating procedure is through the whole projections of three cycles, 
only one among three projections at each angle is qualified by their phase value 
and is retained for future use for tomographic image reconstruction. In practical 
experiment, the ECC based gating method and the conventional hardware gating 
method are employed on micro CT imaging of C57BL/6 mice respectively. The 
result shows that, compared with the hardware based one, the proposed method 
not only achieve much better consistency in the projection images, but also 
suppresses the streak artifacts more effectively on the different parts like the breast, 
abdomen and head of <i>in vivo</i> mice.},
DOI = {10.32604/mcb.2019.07383}
}