-
Article
Exhaustive matching of 3D/2D coronary artery structure based on imperfect segmentations
The 3D/2D coronary artery registration technique has been developed for the guidance of the percutaneous coronary intervention. It introduces the absent 3D structural information by fusing the pre-operative co...
-
Article
Design, development and evaluation of an ergonomically designed dual-use mechanism for robot-assisted cardiovascular intervention
Robot-assisted cardiovascular intervention has been recently developed, which enables interventionists to avoid x-ray radiation and improve their comfort. However, there are still some challenges in the roboti...
-
Chapter and Conference Paper
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference
nnU-Net serves as a good baseline for many medical image segmentation challenges in recent years. It works pretty well for fully-supervised segmentation tasks. However, it is less efficient for inference and c...
-
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 ...
-
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...
-
Chapter and Conference Paper
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites
In clinical practice, a desirable medical image segmentation model should be able to learn from sequential training data from multiple sites, as collecting these data together could be difficult due to the sto...
-
Article
A statistical weighted sparse-based local lung motion modelling approach for model-driven lung biopsy
Lung biopsy is currently the most effective procedure for cancer diagnosis. However, respiration-induced location uncertainty presents a challenge in precise lung biopsy. To reduce the medical image requiremen...
-
Article
Mammographic Image Classification System via Active Learning
Training an accurate prediction model for mammographic image classification is usually necessary to require a large number of labeled images. However, the manually acquiring rich and reliable annotations is kn...
-
Article
A novel robotic system for vascular intervention: principles, performances, and applications
This paper describes the design, principles, performances, and applications of a novel image-guided master–slave robotic system for vascular intervention (VI), including the performance evaluation and in vivo ...
-
Article
Myocardium segmentation from DE MRI with guided random walks and sparse shape representation
For patients with myocardial infarction (MI), delayed enhancement (DE) cardiovascular magnetic resonance imaging (MRI) is a sensitive and well-validated technique for the detection and visualization of MI. The...
-
Article
Blood flow-induced physically based guidewire simulation for vascular intervention training
A realistic guidewire behavior simulation is a vital component of a virtual vascular intervention system. Such systems are a safe, low-cost means of establishing a training environment to help inexperienced su...
-
Article
BEM-based simulation of lung respiratory deformation for CT-guided biopsy
Accurate and real-time prediction of the lung and lung tumor deformation during respiration are important considerations when performing a peripheral biopsy procedure. However, most existing work focused on of...
-
Article
Open AccessExploring potential association between flow instability and rupture in patients with matched-pairs of ruptured–unruptured intracranial aneurysms
Patients with multiple intracranial aneurysms present a great challenge to the neurosurgeon, particularly when presenting with subarachnoid hemorrhage. Misjudgment may result in disastrous postoperative reblee...
-
Article
Real-time aortic valve segmentation from transesophageal echocardiography sequence
Geometric features of the aortic valve play an important role in many applications, such as the clinical diagnostics, shape modeling and image-guided cardiac interventions, especially for the transcatheter ao...
-
Article
A pilot study on magnetic navigation for transcatheter aortic valve implantation using dynamic aortic model and US image guidance
Purpose In this paper, we propose a pilot study for transcatheter aortic valve implantation guided by an augmented magnetic tracking system (MTS) with a dynamic aortic model and intra-operative...
-
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...
-
Article
Validation and prediction of traditional Chinese physical operation on spinal disease using multiple deformation models
Traditional Chinese medical massage is a physical manipulation that achieves satisfactory results on spinal diseases, according to its advocates. However, the method relies on an expert’s experience. Accurate ...
-
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...
-
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...
-
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 ...
