Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms

A Nouri, F Autrusseau, R Bourcier, A Gaignard… - … Medical Imaging and …, 2020 - Elsevier
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 …

Efficient vessel feature detection for endoscopic image analysis

B Lin, Y Sun, JE Sanchez, X Qian - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …

Attention-driven tree-structured convolutional LSTM for high dimensional data understanding

Y Lu, B Kong, F Gao, K Cao, S Lyu, S Zhang… - Frontiers in …, 2023 - frontiersin.org
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 …

Three-dimensional blood vessel segmentation and centerline extraction based on two-dimensional cross-section analysis

RP Kumar, F Albregtsen, M Reimers, B Edwin… - Annals of biomedical …, 2015 - Springer
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 …

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 …

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 …

3D bifurcations characterization for intra-cranial aneurysms prediction

A Nouri, F Autrusseau, R Bourcier… - Medical Imaging …, 2019 - spiedigitallibrary.org
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 …

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 …

Attention-driven tree-structured convolutional lstm for high dimensional data understanding

B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao… - arXiv preprint arXiv …, 2019 - arxiv.org
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 …

[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 …