Extracellular volume fraction mapping at 3T with non-rigid image co-registration

Extracellular volume fraction mapping at 3T with non-rigid image co-registration

National Heart Centre, Singapore, Singapore Full list of author information is available at the end of the article Figure 1 Native myocardial T1 map without (left) and with (right) motion correction at 3T. Arrows indicate motion misalignment that was corrected by the proposed approach. Le et al. Journal of Cardiovascular Magnetic Resonance 2016, 18(Suppl 1):P32 http://www.jcmr-online.com/conten...

Non-Rigid Image Registration

An important hypothesis of the research reported in this paper is that dynamic space warping (DSW), a dynamic programming (DP) technique (Bellman 1965, Brown 1996), can be effectively used for object matching and for inference of the image registration warping function. For this end, a novel, robust, and efficient method for non-rigid image registration using DSW in the “length–code” domain is ...

Non-rigid Image Registration with SαS Filters

In this paper, based on the SαS distributions, we design SαS filters and use the filters as a new feature extraction method for non-rigid medical image registration. In brain MR images, the energy distributions of different frequency bands often exhibit heavy-tailed behavior. Such non-Gaussian behavior is essential for non-rigid image registration but cannot be satisfactorily modeled by the con...

Myocardial T1 and extracellular volume fraction mapping at 3 tesla

BACKGROUND To compare 11 heartbeat (HB) and 17 HB modified lock locker inversion recovery (MOLLI) pulse sequence at 3T and to establish preliminary reference values for myocardial T1 and the extracellular volume fraction (ECV). METHODS Both phantoms and normal volunteers were scanned at 3T using 11 HB and 17 HB MOLLI sequence with the following parameters: spatial resolution = 1.75 × 1.75 × 1...

Non-Rigid Morphological Image Registration