Multi-atlas label fusion by using supervised local weighting for brain image segmentation
Journal Title: TecnoLógicas - Year 2017, Vol 20, Issue 39
Abstract
The automatic segmentation of interest structures is devoted to the morphological analysis of brain magnetic resonance imaging volumes. It demands significant efforts due to its complicated shapes and since it lacks contrast between tissues and inter-subject anatomical variability. One aspect that reduces the accuracy of the multi-atlas-based segmentation is the label fusion assumption of one-to-one correspondences between targets and atlas voxels. To improve the performance of brain image segmentation, label fusion approaches include spatial and intensity information by using voxel-wise weighted voting strategies. Although the weights are assessed for a predefined atlas set, they are not very efficient for labeling intricate structures since most tissue shapes are not uniformly distributed in the images. This paper proposes a methodology of voxel-wise feature extraction based on the linear combination of patch intensities. As far as we are concerned, this is the first attempt to locally learn the features by maximizing the centered kernel alignment function. Our methodology aims to build discriminative representations, deal with complex structures, and reduce the image artifacts. The result is an enhanced patch-based segmentation of brain images. For validation, the proposed brain image segmentation approach is compared against Bayesian-based and patch-wise label fusion on three different brain image datasets. In terms of the determined Dice similarity index, our proposal shows the highest segmentation accuracy (90.3% on average); it presents sufficient artifact robustness, and provides suitable repeatability of the segmentation results
Authors and Affiliations
D. Cárdenas-Peña, E. Fernández, José M. Ferrández-Vicente, G. Castellanos-Domínguez
Keywords
Related Articles
- EP ID EP348409
- DOI 10.22430/22565337.724
- Views 109
- Downloads 0
Enhancement of nerve structure segmentation by a correntropy-based pre-image approach
Peripheral Nerve Blocking (PNB) is a commonly used technique forperformingregional anesthesia and managing pain. PNB comprises the administration of anestheticsin the proximity of a nerve. In...
Transmission network expansion planning considering weighted transmission loading relief nodal indexes
This paper presents a model and a solution approach for the transmission network expansion planning (TNEP) problem that integrates security constraints given by weighted transmission loading relief (WTLR) indexes. Such i...
Production and characterization of composite materials with epoxy resin matrices reinforced with tire rubber and magnetite in different proportions
This work describes the production and magnetic characterization of a compound base on epoxy resin and powdered rubber reinforced with magnetite (𝐹𝑒3𝑂4) poder. Also it is presented the análisis carried out on the compone...
Analysis of the existing correlations of effective friction angle for eastern piedmont soils of Bogota from in situ tests
To estimate the effective friction angle of soil from in situ test is a complicated job, due to high rates of strain existing in this kind of tests, which tend to be too invasive and disturb the vicinities of test depth,...
Changes in the bioactive compounds of pasteurized gooseberry (Physalis peruviana L.) juice
The worldwide market of fruit drinks is interested in exotic juices with high nutritional value, and part of that demand can be satisfied with gooseberry derivatives. Therefore, the objective of this study was to evaluat...