Circle of Willis centerline graphs: A dataset and baseline algorithm
Neuroscience InformaticsThe Circle of Willis (CoW) is a critical network of brain arteries, often implicated in cerebrovascular pathologies. Voxel-level segmentation is an important first step toward automated CoW assessment, but full quantitative analysis requires centerline ...
Fabio Musio +6 more
doaj +1 more source
Nonlinear tube-fitting for the analysis of anatomical and functional structures
, 2011 We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goals, one dealing with the distribution of HIV microbicide in the colon and ...
Caffo, Brian +5 more
core +1 more source
Optimization of Magnetic Milli‐Spinner for Robotic Endovascular Intervention
Advanced Robotics Research, EarlyView.This work presents the design optimization of a multifunctional magnetic milli‐spinner for high‐speed propulsion and efficient clot debulking. The optimized design achieves an ultrafast swimming velocity of 55 cm/s (≈175 body lengths/s) in saline water, enabling stable upstream swimming against strong physiological flows and establishing magnetic milli‐
Lu Lu +3 more
wiley +1 more source
Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions [PDF]
, 2021 Jiaming Qi +5 more
openalex +3 more sources
Hemodynamics of Stent Implantation Procedures in Coronary Bifurcations: an in vitro study [PDF]
, 2016 Stent implantation in coronary bifurcations presents unique challenges and currently there is no universally accepted stent deployment approach. Despite clinical and computational studies, to date, the effect of each stent implantation method on the ...
Brindise, Melissa C. +4 more
core +5 more sources
Advanced Science, EarlyView.Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
AUTOMATIC CENTERLINE EXTRACTION OF COVERD ROADS BY SURROUNDING OBJECTS FROM HIGH RESOLUTION SATELLITE IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 This paper presents an automatic method to extract road centerline networks from high and very high resolution satellite images. The present paper addresses the automated extraction roads covered with multiple natural and artificial objects such as trees,
H. Kamangir, M. Momeni, M. Satari
doaj +1 more source
Coronary Artery Tracking in 3D Cardiac CT Images Using Local Morphological Reconstruction Operators [PDF]
, 2008 Automatic segmentation and tracking of the coronary artery tree from Cardiac Multislice-CT images is an important goal to improve the diagnosis and treatment of coronary artery disease.
Castro González, Carlos +3 more
core
The triple decomposition of a fluctuating velocity field in a multiscale flow [PDF]
, 2015 A new method for the triple decomposition of a multiscale flow, which is based on the novel optimal mode decomposition (OMD) technique, is presented. OMD provides low order linear dynamics, which fits a given data set in an optimal way and is used to ...
Baj, P, Bruce, PJK, Buxton, ORH
core +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source