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Proceedings Paper

3D inters-subject cardiac registration using 4D information
Author(s): Alfredo Lopez; Karl D. Fritscher; Thomas Trieb; Rainer Schubert; Julian Mattes
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Paper Abstract

In this paper we present a new approach for the registration of cardiac 4D image sequences of different subjects, where we assume that a temporal association between the sequences is given. Moreover, we allow for one (or two) selected pair(s) of associated points in time of both sequences, which we call the bridging points in time, the use of additional information such as the semi-automatic segmentation of the investigated structure. We establish the 3D inter-subject registration for all other pairs of points in time exploiting (1) the inter-subject registration for the bridging pair of points in time, (2) the intra-subject motion calculation in both sequences with respect to the bridging pair, and (3) the concatenation of the obtained transformations. We formulate a cost functional integrating the similarity measures comparing the images of the bridging pair(s) of points in time and of the current pair of points in time, respectively. We evaluated our algorithm on 8 healthy volunteers leading to 28 inter-subject combinations and we analyze the behaviour for different parameter settings weighting differently the involved pairs of points in time. The approach based on the bridging pairs outperforms a direct 3D registration of corresponding points in time, in particular in the right ventricle we gain up to 33% in registration accuracy. Starting with a cost functional taking into account the similarity at the first bridging point in time, the results improve stepwise by integrating, firstly, information from the current pair of points in time and secondly, from a second bridging point in time. Our results also show a steep rise of the importance of regularization on the registration accuracy when registering the current point in time with our procedure (17% gain in accuracy) with respect to a direct registration in the bridging point (less than 1%). However, regularization during intra-sequence registration had only minor effects on the accuracy of our registration procedure.

Paper Details

Date Published: 26 March 2008
PDF: 10 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 691413 (26 March 2008); doi: 10.1117/12.771386
Show Author Affiliations
Alfredo Lopez, Software Competence Ctr. Hagenberg (Austria)
Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Karl D. Fritscher, Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Thomas Trieb, Innsbruck Medical Univ. (Austria)
Rainer Schubert, Univ. for Health Sciences, Medical Informatics and Technology (Austria)
Julian Mattes, Software Competence Ctr. Hagenberg (Austria)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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