TY - GEN
T1 - Respiratory motion compensation in rotational angiography
T2 - 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
AU - Unberath, M.
AU - Taubmann, O.
AU - Bier, B.
AU - Geimer, T.
AU - Hell, M.
AU - Achenbach, S.
AU - Maier, A.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/15
Y1 - 2017/6/15
N2 - Non-recurrent intra-scan motion, such as respiration, corrupts rotational coronary angiography acquisitions and inhibits uncompensated 3D reconstruction. Therefore, state-of-the-art algorithms that rely on 3D/2D registration of initial reconstructions to the projection data are unfavorable as prior models of sufficient quality cannot be obtained. To overcome this limitation, we propose a compensation method that optimizes a task-based autofocus measure using graphical model-based optimization.
AB - Non-recurrent intra-scan motion, such as respiration, corrupts rotational coronary angiography acquisitions and inhibits uncompensated 3D reconstruction. Therefore, state-of-the-art algorithms that rely on 3D/2D registration of initial reconstructions to the projection data are unfavorable as prior models of sufficient quality cannot be obtained. To overcome this limitation, we propose a compensation method that optimizes a task-based autofocus measure using graphical model-based optimization.
KW - Angiography
KW - Cardiac imaging
KW - Cone-beam CT
KW - Discrete optimization
KW - Markov random fields
UR - https://www.scopus.com/pages/publications/85023162187
UR - https://www.scopus.com/pages/publications/85023162187#tab=citedBy
U2 - 10.1109/ISBI.2017.7950507
DO - 10.1109/ISBI.2017.7950507
M3 - Conference contribution
AN - SCOPUS:85023162187
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 227
EP - 230
BT - 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PB - IEEE Computer Society
Y2 - 18 April 2017 through 21 April 2017
ER -