Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms
An aneurysm is a vascular disorder where ballooning may form in a weakened section of the
wall in the blood vessel. The swelling of the aneurysm may lead to its rupture. Intra-cranial …
wall in the blood vessel. The swelling of the aneurysm may lead to its rupture. Intra-cranial …
Efficient vessel feature detection for endoscopic image analysis
Distinctive feature detection is an essential task in computer-assisted minimally invasive
surgery (MIS). For special conditions in an MIS imaging environment, such as specular …
surgery (MIS). For special conditions in an MIS imaging environment, such as specular …
Attention-driven tree-structured convolutional LSTM for high dimensional data understanding
Modeling sequential information for image sequences is a vital step of various vision tasks
and convolutional long short-term memory (ConvLSTM) has demonstrated its superb …
and convolutional long short-term memory (ConvLSTM) has demonstrated its superb …
Three-dimensional blood vessel segmentation and centerline extraction based on two-dimensional cross-section analysis
The segmentation of tubular tree structures like vessel systems in volumetric datasets is of
vital interest for many medical applications. In this paper we present a novel, semi-automatic …
vital interest for many medical applications. In this paper we present a novel, semi-automatic …
A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning
MMG Macedo, WVN Guimarães, MZ Galon… - … medical imaging and …, 2015 - Elsevier
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based
on the intravascular introduction of a catheter which provides a view of the inner wall of …
on the intravascular introduction of a catheter which provides a view of the inner wall of …
Bifurcation detection in 3D vascular images using novel features and random forest
M Zhao, G Hamarneh - 2014 IEEE 11th International …, 2014 - ieeexplore.ieee.org
Bifurcation detection is important in medical image analysis for mainly two reasons: 1)
plaques are easy to accumulate at artery bifurcations, which leads to atherosclerosis and …
plaques are easy to accumulate at artery bifurcations, which leads to atherosclerosis and …
3D bifurcations characterization for intra-cranial aneurysms prediction
An aneurysm is a vascular disorder represented by a ballooning of a blood vessel. The
blood vessel's wall is distorted by the blood flow, and a bulge forms there. When ruptured …
blood vessel's wall is distorted by the blood flow, and a bulge forms there. When ruptured …
An automatic labeling bifurcation method for intracoronary optical coherence tomography images
MMG Macedo, CK Takimura, PA Lemos… - Medical Imaging …, 2015 - spiedigitallibrary.org
Vessel branchings are critical vascular locations from the clinical point of view. In these sites,
the arterial hemodynamic plays a relevant role in the progression of atherosclerosis, an …
the arterial hemodynamic plays a relevant role in the progression of atherosclerosis, an …
Attention-driven tree-structured convolutional lstm for high dimensional data understanding
Modeling the sequential information of image sequences has been a vital step of various
vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its …
vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its …
[PDF][PDF] Extraction of tubular network from 3D angiography using hough transform
MM Macedo, MP Jackowski - 2012 - pfigshare-u-files.s3.amazonaws.com
Computational tools for analysis of vascular structure is an important step towards the
diagnosis of vascular anomalies. Vessel diameters, density and distance between …
diagnosis of vascular anomalies. Vessel diameters, density and distance between …