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Chapter and Conference Paper
Dynamic Heart Modeling Based on a Hybrid 3D Segmentation Approach
A hybrid 3D segmentation approach is proposed in this paper to perform a physical beating heart modeling from dynamic CT images. A Morphological Recursive Erosion operation is firstly employed to reduce the co...
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Chapter and Conference Paper
3D Automatic Fiducial Marker Localization Approach for Frameless Stereotactic Neuro-surgery Navigation
Although frameless stereotactic neuro-surgical navigation systems are widely used in many neuro-surgical centers around the world, most of the systems still require the user to define the position of fiducial ...
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Chapter and Conference Paper
Medical Image Alignment by Normal Vector Information
In this paper, a new approach on image registration is presented. We introduce a novel conception- normal vector information (NVI) – to evaluate the similarity between two images. NVI method takes advantage of...
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Chapter and Conference Paper
Evaluation of Morphological Reconstruction, Fast Marching and a Novel Hybrid Segmentation Method
An evaluation of two traditional segmentation algorithms of Morphological Reconstruction and the Fast Marching method along with a novel hybrid segmentation approach is presented. After introducing the Fast Ma...
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Chapter and Conference Paper
Character Region Identification from Cover Images Using DTT
A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphological top-hat transformation (TT)...
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Chapter and Conference Paper
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation
In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconstruction algorithm. The segmentation pro...
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Chapter and Conference Paper
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation
In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two sub-models: the surface one and the internal one, which are based on Ma...
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Chapter and Conference Paper
A Novel Watershed Method Using Reslice and Resample Image
A novel Watershed segmentation approach is proposed in this paper. Firstly a review of medical image segmentation was presented where the advantages and drawbacks of the traditional watershed method are discus...
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Chapter and Conference Paper
Real-Time Simulation for Global Deformation of Soft Tissue Using Deformable Centerline and Medial Representation
Real-time simulation for global deformation of soft tissue, using Mass-Spring or traditional finite element method (FEM), is difficult because of the following reasons: (1) The linear elastic model is inapprop...
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Chapter and Conference Paper
Liver Perfusion using Level Set Methods
The family of Level Set Methods has been successfully used by scientists and practitioners for medical image processing. Image segmentation using active implicit contours is applied in 2D and 3D medical imagin...
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Chapter and Conference Paper
A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching
Liver Perfusion gives important information about blood supply of liver. However, in daily clinical diagnosis, radiologists have to manually mark the perfusion position in time-sequence images due to the motio...
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Chapter and Conference Paper
Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash
In this paper, MM-Model is presented for real-time simulation of 3D deformable objects on both global level and local region. This model consists of a deformable centerline and dynamic surface reconstruction m...
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Chapter and Conference Paper
The Framework for Real-Time Simulation of Deformable Soft-Tissue Using a Hybrid Elastic Model
In this paper, we present a novel approach for real-time simulation of deformable soft-tissue. The framework includes segmentation of medical data, physical and mathematical modeling, performance optimization ...
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Chapter and Conference Paper
A Novel Level Set Based Shape Prior Method for Liver Segmentation from MRI Images
Liver segmentation in MR Image is the first step of our automated liver perfusion analysis project. Traditional Level Set methods and active contours were often used to segment the liver, but the results were ...
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Chapter and Conference Paper
Non-rigid 2D-3D Registration Based on Support Vector Regression Estimated Similarity Metric
In this paper, we proposed a novel non-rigid 2D-3D registration framework, which is based on Support Vector Regression (SVR) to compensate the disadvantages of generating large amounts of Digitally Rendered Ra...
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Chapter and Conference Paper
Particle-Based Deformable Modeling with Pre-computed Surface Data in Real-Time Surgical Simulation
Particle-based method has proven to be a powerful tool in real-time surgical simulation for its simplicity and high efficiency. However, it is difficult to model the high-resolution surface deformation details...
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Chapter and Conference Paper
A Point-Based Simulation Framework for Minimally Invasive Surgery
In this paper, we present a physically-based simulation framework to build up real-time Minimally invasive surgery (MIS) simulators using point-based techniques. In our framework, simulations of organ contacts...
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Chapter and Conference Paper
Electromagnetic Navigation for Thoracic Aortic Stent-graft Deployment Using Tracked Ultrasound
This research proposes an electromagnetic navigation system for thoracic aortic stent-graft deployment. The system employed patient’s preoperative image (CT) to construct a 3D cardiac model based on a GPU acce...
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Chapter and Conference Paper
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
Radiation therapy (RT) is widely employed in the clinic for the treatment of head and neck (HaN) cancers. An essential step of RT planning is the accurate segmentation of various organs-at-risks (OARs) in HaN ...
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Chapter and Conference Paper
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images. Compared with the 2D counterparts, 3D convolutions can capture the spatial context in three dimension...