TY - GEN
T1 - Multi-sequence registration of cine, tagged and delay-enhancement mri with shift correction and steerable pyramid-based detagging
AU - Camara, Oscar
AU - Oubel, Estanislao
AU - Piella, Gemma
AU - Balocco, Simone
AU - De Craene, Mathieu
AU - Frangi, Alejandro
PY - 2009
Y1 - 2009
N2 - In this work, we present a registration framework for cardiac cine MRI (cMRI), tagged (tMRI) and delay-enhancement MRI (deMRI), where the two main issues to find an accurate alignment between these images have been taking into account: the presence of tags in tMRI and respiration artifacts in all sequences. A steerable pyramid image decomposition has been used for detagging purposes since it is suitable to extract high-order oriented structures by directional adaptive filtering. Shift correction of cMRI is achieved by firstly maximizing the similarity between the Long Axis and Short Axis cMRI. Subsequently, these shift-corrected images are used as target images in a rigid registration procedure with their corresponding tMRI/deMRI in order to correct their shift. The proposed registration framework has been evaluated by 840 registration tests, considerably improving the alignment of the MR images (mean RMS error of 2.04mm vs. 5.44mm).
AB - In this work, we present a registration framework for cardiac cine MRI (cMRI), tagged (tMRI) and delay-enhancement MRI (deMRI), where the two main issues to find an accurate alignment between these images have been taking into account: the presence of tags in tMRI and respiration artifacts in all sequences. A steerable pyramid image decomposition has been used for detagging purposes since it is suitable to extract high-order oriented structures by directional adaptive filtering. Shift correction of cMRI is achieved by firstly maximizing the similarity between the Long Axis and Short Axis cMRI. Subsequently, these shift-corrected images are used as target images in a rigid registration procedure with their corresponding tMRI/deMRI in order to correct their shift. The proposed registration framework has been evaluated by 840 registration tests, considerably improving the alignment of the MR images (mean RMS error of 2.04mm vs. 5.44mm).
UR - http://www.scopus.com/inward/record.url?scp=68849107278&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01932-6_36
DO - 10.1007/978-3-642-01932-6_36
M3 - Conference contribution
AN - SCOPUS:68849107278
SN - 3642019315
SN - 9783642019319
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 330
EP - 338
BT - Functional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
T2 - 5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
Y2 - 3 June 2009 through 5 June 2009
ER -