Level set (data structures)
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Stress-based shape and topology optimization with the level set method Open
This paper proposes a level set method to solve minimum stress and stress-constrained shape and topology optimization problems. The method solves a sub-optimization problem every iteration to obtain optimal boundary velocities. A p-norm st…
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Coronary Arteries Segmentation Based on 3D FCN With Attention Gate and Level Set Function Open
Coronary heart disease is one of the most serious health problems in the world nowadays. By segmenting and examining the coronary arteries in medical images, we can find artery stenosis and plaque, which are the main causes of this certain…
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Adaptive Local Window for Level Set Segmentation of CT and MRI Liver\nLesions Open
We propose a novel method, the adaptive local window, for improving level\nset segmentation technique. The window is estimated separately for each contour\npoint, over iterations of the segmentation process, and for each individual\nobject…
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3D-MRI Brain Tumor Detection Model Using Modified Version of Level Set Segmentation Based on Dragonfly Algorithm Open
Accurate brain tumor segmentation from 3D Magnetic Resonance Imaging (3D-MRI) is an important method for obtaining information required for diagnosis and disease therapy planning. Variation in the brain tumor’s size, structure, and form is…
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Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area Open
Brain tumor segmentation is the process of separating the tumor from normal brain tissues; in clinical routine, it provides useful information for diagnosis and treatment planning. However, it is still a challenging task due to the irregul…
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Hybrid two-stage active contour method with region and edge information for intensity inhomogeneous image segmentation Open
This paper presents a novel two-stage image segmentation method using an edge scaled energy functional based on local and global information for intensity inhomogeneous image segmentation. In the first stage, we integrate global intensity …
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Topology optimization for design-dependent hydrostatic pressure loading via the level-set method Open
A few level-set topology optimization (LSTO) methods have been proposed to address complex fluid-structure interaction. Most of them did not explore benchmark fluid pressure loading problems and some of their solutions are inconsistent wit…
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Efficient Local Level Set Method without Reinitialization and Its Appliance to Topology Optimization Open
The local level set method (LLSM) is higher than the LSMs with global models in computational efficiency, because of the use of narrow-band model. The computational efficiency of the LLSM can be further increased by avoiding the reinitiali…
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Automatic Choroidal Layer Segmentation Using Markov Random Field and Level Set Method Open
The choroid is an important vascular layer that supplies oxygen and nourishment to the retina. The changes in thickness of the choroid have been hypothesized to relate to a number of retinal diseases in the pathophysiology. In this paper, …
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Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization Open
The automatic brain tumor segmentation in MRI (Magnetic Resonance Images) is becoming a challenging task in the field of medicine, since the brain tumor occurs in different shapes, intensities and sizes. This paper proposes an efficient au…
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A parameterized level set method for structural topology optimization based on reaction diffusion equation and fuzzy PID control algorithm Open
We propose a parameterized level set method (PLSM) for structural topology optimization based on reaction diffusion equation (RDE) and fuzzy PID control algorithm. By using the proposed method, the structural compliance minimization proble…
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Fuzzy Region-Based Active Contours Driven by Weighting Global and Local Fitting Energy Open
Active contour model (ACM) has been a successful method for image segmentation. The existing ACMs poorly segment the images with intensity inhomogeneity or non-homogeneity, and the results highly depend on the initial position of the conto…
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Level set band method: A combination of density-based and level set methods for the topology optimization of continuums Open
The level set method (LSM), which is transplanted from the computer graphics field, has been successfully introduced into the structural topology optimization field for about two decades, but it still has not been widely applied to practic…
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A Novel Active Contour Model Guided by Global and Local Signed Energy-Based Pressure Force Open
Active contour models (ACMs) have been widely applied in the field of image segmentation. However, it is still very challenging to construct an efficient ACM to segment images with intensity inhomogeneity. In this paper, a novel ACM guided…
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Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images Open
Liver and liver tumor segmentation provides vital biomarkers for surgical planning and hepatic diagnosis. In this paper, we propose and validate a novel level-set method integrating an enhanced edge indicator and an automatically derived i…
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ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data Open
We present an algorithm for detecting the location of cells from two-photon calcium imaging data. In our framework, multiple coupled active contours evolve, guided by a model-based cost function, to identify cell boundaries. An active cont…
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Level set-based isogeometric topology optimization for maximizing fundamental eigenfrequency Open
Maximizing the fundamental eigenfrequency is an efficient means for vibrating structures to avoid resonance and noises. In this study, we develop an isogeometric analysis (IGA)-based level set model for the formulation and solution of topo…
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Segmentation of brain MRI using active contour model Open
Alzheimer disease is a neurodegenerative disorder that impairs memory, cognitive function, and gradually leads to dementia, physical deterioration, loss of independence, and death of the affected individual. In this context, segmentation o…
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Selective Level Set Segmentation Using Fuzzy Region Competition Open
\n\tDeformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical image segmentation is yet one of open challenges owing to diversified physiology, pathology, and imaging m…
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PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma Open
Plasma cell segmentation is the first stage of a computer assisted automated diagnostic tool for multiple myeloma (MM). Owing to large variability in biological cell types, a method for one cell type cannot be applied directly on the other…
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A New Method of Brain Tissues Segmentation from MRI with Accuracy Estimation Open
In this paper, a new concept has been incorporated using level set methodology for the specific segmentation of brain tissues in magnetic resonance imaging (MRI) brain images. In this segmentation, the normal tissues such as WM (White Matt…
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Thermal Infrared Pedestrian Image Segmentation Using Level Set Method Open
The edge-based active contour model has been one of the most influential models in image segmentation, in which the level set method is usually used to minimize the active contour energy function and then find the desired contour. However,…
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Efficiency and Accuracy of Micro‐Macro Models for Mineral Dissolution Open
Micro‐macro models for dissolution processes are derived from detailed pore‐scale models applying upscaling techniques. They consist of flow and transport equations at the scale of the porous medium (macroscale). Both include averaged time…
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A Characteristic Function-Based Algorithm for Geodesic Active Contours Open
Active contour models have been widely used in image segmentation, and the level set method (LSM) is the most popular approach for solving the models, via implicitly representing the contour by a level set function. However, the LSM suffer…
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Automatic Lumen Segmentation in Intravascular Optical Coherence Tomography Images Using Level Set Open
Automatic lumen segmentation from intravascular optical coherence tomography (IVOCT) images is an important and fundamental work for diagnosis and treatment of coronary artery disease. However, it is a very challenging task due to irregula…
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Segmentation of prostate from ultrasound images using level sets on active band and intensity variation across edges Open
Purpose: In this paper, the authors propose a novel efficient method to segment ultrasound images of the prostate with weak boundaries. Segmentation of the prostate from ultrasound images with weak boundaries widely exists in clinical appl…
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Concurrent optimization of structural topology and infill properties with a CBF-based level set method Open
In this paper, a parametric level-set-based topology optimization framework is proposed to concurrently optimize the structural topology at the macroscale and the effective infill properties at the micro/meso scale. The concurrent optimiza…
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An adaptive level‐set method with enhanced volume conservation for simulations in multiphase domains Open
Summary Mechanical computations in multiphase domains raise numerous difficulties from the generation of the initial mesh to its adaptation throughout the simulation. All alternatives to mesh adaptation, such as level‐set methods, have the…
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3D level set methods for evolving fronts on tetrahedral meshes with adaptive mesh refinement Open
The level set method is commonly used to model dynamically evolving fronts and interfaces. In this work, we present new methods for evolving fronts with a specified velocity field or in the surface normal direction on 3D unstructured tetra…
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A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation Open
This paper presents a hybrid level set method for object segmentation. The method deconstructs segmentation task into two procedures, i.e., shape transformation and curve evolution, which are alternately optimized until convergence. In thi…