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Brain hematoma computational segmentation
(IOP Publishing, 2018)
In computed tomography imaging, brain hematoma (BH) segmentation is a very
challenging process due to a high variability of BH morphology, low contrast and noisy
images. Because of this, BH segmentation is an open problem. In order to approach this
problem, we propose an automatic technique, named nonlinear technique (NLT), based on a
thresholding method, noise suppression filters, intelligent operators, a clustering strategy and a
binary morphological operator. NLT performance is assessed by Jaccard's similarity index
(JSI) used to compare ...
Left atrial appendage automatic segmentation, in computed tomography images
(IOP Publishing, 2019)
The left atrial appendage is one of the anatomical places where most frequently
blood thrombi occur. When migrating from the appendage, these thrombi, become blood
emboli that, potentially, can compromise the physiology and/or anatomy of cardiac or cerebral
blood vessels, being able to generate cerebrovascular events. The left atrial appendage
segmentation is very difficult due, mainly, to its location and the identical densitometric
information presents into of this appendage and around of the left atrium. In this paper, an
automatic ...