Cooperative carotid artery centerline extraction in MRI. [PDF]
Centerline extraction of the carotid artery in MRI is important to analyze the artery geometry and to provide input for further processing such as registration and segmentation.
Andrés M Arias-Lorza +3 more
doaj +8 more sources
Algorithm of Pulmonary Vascular Segment and Centerline Extraction. [PDF]
Because pulmonary vascular lesions are harmful to the human body and difficult to detect, computer-assisted diagnosis of pulmonary blood vessels has become the focus and difficulty of the current research. An algorithm of pulmonary vascular segment and centerline extraction which is consistent with the physician’s diagnosis process is proposed for the ...
Qiu S, Lian J, Ding Y, Zhou T, Liang T.
europepmc +5 more sources
Automated Coronary Artery Tracking with a Voronoi-Based 3D Centerline Extraction Algorithm [PDF]
Coronary artery disease is one of the leading causes of death worldwide, and medical imaging methods such as coronary artery computed tomography are vitally important in its detection. More recently, various computational approaches have been proposed to
Rodrigo Dalvit Carvalho da Silva +2 more
doaj +2 more sources
Centerline Extraction of Vasculature Mesh
Mesh representation of vasculature is fundamental to many medical applications. The benefit is a clean and tidy appearance in terms of visualization, as well as the possibility of applying computer-assisted intervention and preoperative planning for ...
Mingqiang Wei +9 more
doaj +3 more sources
Lane Centerline Extraction Based on Surveyed Boundaries: An Efficient Approach Using Maximal Disks [PDF]
Maps of road layouts play an essential role in autonomous driving, and it is often advantageous to represent them in a compact form, using a sparse set of surveyed points of the lane boundaries.
Chenhui Yin +4 more
doaj +2 more sources
The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach [PDF]
The accurate segmentation of blood vessels and centerline extraction are critical in vascular imaging applications, ranging from preoperative planning to hemodynamic modeling.
Rostislav Epifanov +5 more
doaj +2 more sources
Segmentation-assisted vessel centerline extraction from cerebral CT Angiography. [PDF]
AbstractBackgroundThe accurate automated extraction of brain vessel centerlines from Computed tomographic angiography (CTA) images plays an important role in diagnosing and treating cerebrovascular diseases such as stroke. Despite its significance, this task is complicated by the complex cerebrovascular structure and heterogeneous imaging quality ...
Liu S +7 more
europepmc +4 more sources
Coronary Centerline Extraction from CCTA Using 3D-UNet [PDF]
The mesh-type coronary model, obtained from three-dimensional reconstruction using the sequence of images produced by computed tomography (CT), can be used to obtain useful diagnostic information, such as extracting the projection of the lumen (planar ...
Alexandru Dorobanțiu +2 more
doaj +2 more sources
3D actin network centerline extraction with multiple active contours. [PDF]
Fluorescence microscopy is frequently used to study two and three dimensional network structures formed by cytoskeletal polymer fibers such as actin filaments and actin cables. While these cytoskeletal structures are often dilute enough to allow imaging of individual filaments or bundles of them, quantitative analysis of these images is challenging. To
Xu T, Vavylonis D, Huang X.
europepmc +4 more sources
Construction of a High-Precision Underwater 3D Reconstruction System Based on Line Laser [PDF]
This study presents a high-precision underwater 3D reconstruction system based on rotating laser scanning. The system adopts a modeling framework that combines air-based camera calibration with refraction compensation.
Hongyang Xu +3 more
doaj +2 more sources

