Multi-sequence registration of cine, tagged and delay-enhancement mri with shift correction and steerable pyramid-based detagging

Oscar Camara, Estanislao Oubel, Gemma Piella, Simone Balocco, Mathieu De Craene, Alejandro Frangi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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).

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
Pages330-338
Number of pages9
DOIs
Publication statusPublished - 2009
Event5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009 - Nice, France
Duration: 3 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5528
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
Country/TerritoryFrance
CityNice
Period3/06/095/06/09

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