TY - GEN
T1 - Autoadaptive motion modelling
AU - Baumgartner, C. F.
AU - Kolbitsch, C.
AU - McClelland, J. R.
AU - Rueckert, D.
AU - King, A. P.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - Respiratory motion is a complicating factor for many applications in medical imaging. Respiration is an approximately periodic, but very complex motion that may undergo significant changes within the duration of a treatment or imaging session. Motion models are a possible solution to the problem of respiratory motion. However, in the current state-of-the-art, the model is formed preprocedure and may lose validity during the procedure. We propose a novel autoadaptive motion model which can automatically adapt to changing breathing patterns and thus maintain its validity. We quantitatively evaluated the method on synthetic data generated from MR images acquired from 4 healthy volunteers and found that motion estimation errors after a change in breathing pattern were significantly reduced using the proposed method. Furthermore, we demonstrated the method on real MR data acquired from one healthy volunteer.
AB - Respiratory motion is a complicating factor for many applications in medical imaging. Respiration is an approximately periodic, but very complex motion that may undergo significant changes within the duration of a treatment or imaging session. Motion models are a possible solution to the problem of respiratory motion. However, in the current state-of-the-art, the model is formed preprocedure and may lose validity during the procedure. We propose a novel autoadaptive motion model which can automatically adapt to changing breathing patterns and thus maintain its validity. We quantitatively evaluated the method on synthetic data generated from MR images acquired from 4 healthy volunteers and found that motion estimation errors after a change in breathing pattern were significantly reduced using the proposed method. Furthermore, we demonstrated the method on real MR data acquired from one healthy volunteer.
UR - http://www.scopus.com/inward/record.url?scp=84927928232&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6867907
DO - 10.1109/isbi.2014.6867907
M3 - Conference contribution
AN - SCOPUS:84927928232
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 457
EP - 460
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -