363 Result(s)
within
English
Artificial Intelligence
Computer Graphics
Qi**ng Chen
Conference Paper
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Chapter and Conference Paper
Deformation Based Representation of Groupwise Average and Variability
This paper presents a novel method for creating an unbiased and geometrically centered average from a group of images. The morphological variability of the group is modeled as a set of deformation fields which...
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Chapter and Conference Paper
Simultaneous Segmentation and Registration for Medical Image
Although segmentation and registration are usually considered separately in medical image analysis, they can obviously benefit a great deal from each other. In this paper, we propose a novel scheme of simultan...
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Chapter and Conference Paper
3D Cardiac Anatomy Reconstruction Using High Resolution CT Data
Recent advances in CT technology have allowed thh development of systems with multiple rows of detectors snd rapid rotation. These new imaging systems have permitted the acquisition of high resolution, spatial...
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Chapter and Conference Paper
Real-Time 4D Tumor Tracking and Modeling from Internal and External Fiducials in Fluoroscopy
Fluoroscopy is currently used in treatment planning for patients undergoing radiation therapy. Radiation oncologists would like to maximize the amount of dose the tumor receives and minimize the amount deliver...
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Chapter and Conference Paper
Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid
We present a new technique to recover the shape of an unknown smooth specular surface from a single image. A calibrated camera faces a specular surface reflecting a calibrated scene (for instance a checkerboar...
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Chapter and Conference Paper
Segmentation in Echocardiographic Sequences Using Shape-Based Snake Model
A novel method for segmentation of cardiac structures in temporal echocardiographic sequences based on the snake model is presented. The method is motivated by the observation that the structures of neighborin...
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Chapter and Conference Paper
Ligament Strains Predict Knee Motion After Total Joint Replacement
A passive forward kinematics knee model was used to predict knee motion of a total joint replacement. Given a joint angle, maps of articular surfaces, and patient-specific ligament properties, this model predi...
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Chapter and Conference Paper
76-Space Analysis of Grey Matter Diffusivity: Methods and Applications
Diffusion Weighted Imaging (DWI) and Diffusion Tensor Imaging (DTI) are widely used in the study and diagnosis of neurological diseases involving the White Matter (WM). However, many neurological and neurodege...
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Chapter and Conference Paper
Fingerprint Image Segmentation Method Based on MCMC&GA
Fingerprint image segmentation is one key step in Automatic Fingerprint Identification System (AFIS), and how to do it faster, more accurately and more effectively is important for AFIS. This paper introduces ...
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Chapter and Conference Paper
Point-Based Geometric Deformable Models for Medical Image Segmentation
Conventional level set based image segmentations are performed upon certain underlying grid/mesh structures for explicit spatial discretization of the problem and evolution domains. Such computational grids, h...
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Chapter and Conference Paper
Shape Image Retrieval Using Elastic Matching Combined with Snake Model
Shape-based recovery from image or video databases has become an important information retrieval problem. It is particularly challenging, owning to the difficulty to derive a similarity measurement that closel...
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Chapter and Conference Paper
Total Variation-Based Speckle Reduction Using Multi-grid Algorithm for Ultrasound Images
This paper presents an approach for speckle reduction and coherence enhancement of ultrasound images based on total variation (TV) minimization. The proposed method can preserve information associated with res...
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Chapter and Conference Paper
A Variational PDE Based Level Set Method for a Simultaneous Segmentation and Non-rigid Registration
A new variational PDE based level set method for a simultaneous image segmentation and non-rigid registration using prior shape and intensity information is presented. The segmentation is obtained by finding a...
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Chapter and Conference Paper
Geodesic Active Contours with Adaptive Neighboring Influence
While geometric deformable models have brought tremendous impacts on shape representation and analysis in medical image analysis, some of the remaining problems include the handling of boundary leakage and the...
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Chapter and Conference Paper
3D Face Modeling Based on Structured-Light Assisted Stereo Sensor
In this paper we present a 3D human face reconstruction framework based on stereo sensor coupled with a structured lighting source. Starting from two calibrated images, the active part (video projector) which ...
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Chapter and Conference Paper
The 4-Source Photometric Stereo Under General Unknown Lighting
Many previous works on photometric stereo have shown how to recover the shape and reflectance properties of an object using multiple images taken under a fixed viewpoint and variable lighting conditions. Howev...
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Chapter and Conference Paper
Robust Multi-view Face Detection Using Error Correcting Output Codes
This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided into separated classes across views, a...
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Chapter and Conference Paper
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns
We consider the problem of recognizing face or object when only single training image per class is available, which is typically encountered in law enforcement, passport or identification card verification, et...
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Chapter and Conference Paper
Automated 3D Freehand Ultrasound Calibration with Real-Time Accuracy Control
3D ultrasound (US) is an emerging new imaging technology that appeals to more and more applications in intraoperative guidance of computer-assisted surgery. In a freehand US imaging system, US probe calibratio...
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Chapter and Conference Paper
Automated Topology Correction for Human Brain Segmentation
We describe a new method to reconstruct human brain structures from 3D magnetic resonance brain images. Our method provides a fully automatic topology correction mechanism, thus avoiding tedious manual correct...
