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Smoothing filters in synthetic cerebral magnetic resonance images: A comparative study
(Sociedad Latinoamericana de Hipertensión, 2018)
This paper presents the evaluation of two computational
techniques for smoothing noise that might be present
in synthetic images or numerical phantoms of magnetic
resonance (MRI). The images that will serve as the databases
(DB) during the course of this evaluation are available
freely on the Internet and are reported in specialized
literature as synthetic images called BrainWeb. The
images that belong to this DB were contaminated with
Rician noise, this being the most frequent type of noise
in real MRI images. Also, the techniques that ...
Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology
(Sociedad Latinoamericana de Hipertensión, 2018)
In this work an adaptation of the Cross Industry
Standard Process for Data Mining (CRISP-DM) methodology,
in the context of digital medical image
processing is proposed. Specifically, synthetic images reported
in the literature are used as numerical phantoms.
Construction of the synthetic images was inspired by a detailed
analysis of some of the imperfections found in the
real multilayer cardiac computed tomography images. Of
all the imperfections considered, only Poisson noise was
selected and incorporated into a synthetic database. ...
High grade glioma segmentation in magnetic resonance imaging
(Sociedad Latinoamericana de Hipertensión, 2018)
Through this work we propose a computational technique
for the segmentation of magnetic resonance images
(MRI) of a brain tumor, identified as high grade glioma
(HGG), specifically grade III anaplastic astrocytoma. This
technique consists of 3 stages developed in the threedimensional
domain. They are: pre-processing, segmentation
and post-processing. The pre-processing stage uses
a thresholding technique, morphological erosion filter
(MEF), in gray scale, followed by a median filter and a
gradient magnitude algorithm. On the other hand, ...
Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for
the segmentation of a brain tumor, identified as low grade
glioma (LGG), specifically grade II astrocytoma, which is
present in magnetic resonance images (MRI). This technique
consists of 3 stages developed in the three-dimensional
domain. They are: pre-processing, segmentation and postprocessing.
The percent relative error (PrE) is considered to
compare the segmentations of the LGG, generated by a neuro-
oncologist manually, with the dilated segmentations of the
LGG, obtained ...
Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique
for the segmentation of a brain tumor, identified as meningioma
(MGT), which is present in magnetic resonance images
(MRI). This technique consists of 3 stages developed in
the three-dimensional domain: pre-processing, segmentation
and post-processing. The percent relative error (PrE) is considered
to compare the segmentations of the MGT, generated
by a neuro-oncologist manually, with the dilated segmentations
of the MGT, obtained automatically. The combination of
parameters linked ...
Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This work evaluates the performance of computational methods
aimed at volume generation of five intracerebral hematomas
(ICH), present in multi-layer computed tomography
images, by means of three complementary steps. First. A
ground truth volume or reference volume (RV) is considered.
This RV is obtained, by a neurosurgeon, using the manual
planimetric method (MPM). In a second step, the volumetry
of the 5 ICH’s is obtained considering both the original version
of the ABC/2 method and two of its variants, identified in
this paper as ABC/3 ...
Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This work evaluates the performance of some methods oriented
towards the generation of the volume of four subdural
hematomas (SDH), present in multi-layer computed tomography
images. To do this, firstly, a reference volume is specified:
the volume obtained by a neurosurgeon using the manual
planimetric method (MPM); which allows the generation of
manual segmentations of space-occupying lesions. In this
case, these volumes are matched with the SDH. In parallel,
the volumetry of the 4 SDHs is obtained, considering both the
original version ...
Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods
(Sociedad Latinoamericana de Hipertensión, 2018)
This work evaluates the performance of some
methods employed for assessing the volume of
seven subdural hematomas (EDH), present in
multi-layer computed tomography images. Firstly, a reference
volume is considered to be that obtained by a neurosurgeon
using the manual planimetric method (MPM).
Secondly, the volume of the 7 EDHs is obtained considering
both the original version of the ABC/2 method and two of
its variants, identified in this paper as ABC/3 method and
2ABC/3 method. The ABC methods allow for calculation
of the volume of ...
Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This paper proposes a non-linear computational technique
for the segmentation of epidural hematomas (EDH), present
in 7 multilayer computed tomography brain imaging databases.
This technique consists of 3 stages developed in the
three-dimensional domain, namely: pre-processing, segmentation
and quantification of the volume occupied by each of
the segmented EDHs. To make value judgments about the
performance of the proposed technique, the EDH dilated segmentations,
obtained automatically, and the EDH segmentations,
generated manually by ...
Automatic segmentation of a cerebral glioblastoma using a smart computational technique
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
We propose an intelligent computational technique for the
image segmentation of a type IV brain tumor, identified as
multiform glioblastoma (MGB), which is present in multi-layer
computed tomography images. This technique consists of
3 stages developed in the three-dimensional domain. They
are: pre-processing, segmentation and validation. During the
validation stage, the Dice coefficient (Dc) is considered in
order to compare the segmentations of the MGB, obtained
automatically, with the segmentations of the MGB generated
manually, by a ...