Accurate inversion of 3-D transformation fields

This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parametric B-spline-based representation of the deformation field is considered. Topology preservation ensures that the transformation i...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 17(2008), 10 vom: 01. Okt., Seite 1963-8
1. Verfasser: Noblet, Vincent (VerfasserIn)
Weitere Verfasser: Heinrich, Christian, Heitz, Fabrice, Armspach, Jean-Paul
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Letter
LEADER 01000caa a22002652 4500
001 NLM182354296
003 DE-627
005 20250209180424.0
007 cr uuu---uuuuu
008 231223s2008 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2008.2002310  |2 doi 
028 5 2 |a pubmed25n0608.xml 
035 |a (DE-627)NLM182354296 
035 |a (NLM)18784042 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Noblet, Vincent  |e verfasserin  |4 aut 
245 1 0 |a Accurate inversion of 3-D transformation fields 
264 1 |c 2008 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 30.10.2008 
500 |a Date Revised 11.09.2008 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parametric B-spline-based representation of the deformation field is considered. Topology preservation ensures that the transformation is a one-to-one mapping and consequently that it is invertible. Inverting such transformation fields amounts to solving a system of nonlinear equations. To tackle this problem, we rely on interval analysis techniques. The proposed algorithm yields a solution whose accuracy is user-controlled. This method may be extended to any dense transformation field and also to deformations defined on a grid of points, by considering a projection in the space of topology preserving B-spline-based deformation fields. The performance of the algorithm is illustrated on transformation fields coming from intersubject brain registration 
650 4 |a Letter 
700 1 |a Heinrich, Christian  |e verfasserin  |4 aut 
700 1 |a Heitz, Fabrice  |e verfasserin  |4 aut 
700 1 |a Armspach, Jean-Paul  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society  |d 1992  |g 17(2008), 10 vom: 01. Okt., Seite 1963-8  |w (DE-627)NLM09821456X  |x 1057-7149  |7 nnns 
773 1 8 |g volume:17  |g year:2008  |g number:10  |g day:01  |g month:10  |g pages:1963-8 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2008.2002310  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 17  |j 2008  |e 10  |b 01  |c 10  |h 1963-8