naa a22 4500 510807151 CHVBK 20180411083423.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s11548-013-0903-x doi (NATIONALLICENCE)springer-10.1007/s11548-013-0903-x Local/non-local regularized image segmentation using graph-cuts [Elektronische Daten] Application to dynamic and multispectral MRI [Erik Hanson, Arvid Lundervold] Objective: Multispectral, multichannel, or time series image segmentation is important for image analysis in a wide range of applications. Regularization of the segmentation is commonly performed using local image information causing the segmented image to be locally smooth or piecewise constant. A new spatial regularization method, incorporating non-local information, was developed and tested. Methods: Our spatial regularization method applies to feature space classification in multichannel images such as color images and MR image sequences. The spatial regularization involves local edge properties, region boundary minimization, as well as non-local similarities. The method is implemented in a discrete graph-cut setting allowing fast computations. Results: The method was tested on multidimensional MRI recordings from human kidney and brain in addition to simulated MRI volumes. Conclusion: The proposed method successfully segment regions with both smooth and complex non-smooth shapes with a minimum of user interaction. CARS, 2013 Image segmentation nationallicence kNN classification nationallicence Graph-cut nationallicence Non-local regularization nationallicence DCE-MRI nationallicence Multispectral MRI nationallicence Hanson Erik Department of Mathematics, University of Bergen, Bergen, Norway aut Lundervold Arvid Department of Biomedicine, University of Bergen, Bergen, Norway aut International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/6(2013-11-01), 1073-1084 1861-6410 8:6<1073 2013 8 11548 https://doi.org/10.1007/s11548-013-0903-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-013-0903-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hanson Erik Department of Mathematics, University of Bergen, Bergen, Norway aut NATIONALLICENCE 700 1- Lundervold Arvid Department of Biomedicine, University of Bergen, Bergen, Norway aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer Berlin Heidelberg 8/6(2013-11-01), 1073-1084 1861-6410 8:6<1073 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer