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Active contours: an overview with applications to motion artifact cancellation in MRI

Active contours: an overview with applications to motion art...

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： D.L. Guidry A.A. Farag Computer Vision and Image Processing Lab Electrical Engineering Department University of Louisville Louisville KY USA

Motion can be estimated by detecting the edges of a moving object using active contours, and registering them together to obtain the motion model parameters. This idea can be applied to patient motion during the acquisition of an MRI to eliminate motion artifacts in the image. The data obtained during the MRI acquisition, the k-space, can be divided into several subbands such that each subband is acquired in a small fraction of the full imaging time. These subbands create invariant tissue feature maps called subband images. Using active contours, the relative motion is analyzed across the different subband images to determine the motion parameters. Using these motion parameters it is possible to correct the subbands, thus correcting the k-space. This has the potential to yield clear, noise-free MR images.

关键词： Active contours Magnetic resonance imaging image edge detection computer vision Motion estimation Object detection Motion detection Motion analysis Gray-scale Application software

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Rigid neuroendoscope navigation system for minimally invasive surgery

Rigid neuroendoscope navigation system for minimally invasiv...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： A.M. Eldeib A. Mohamed A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

This paper describes a high precision navigation system that helps neurosurgeons identify more easily the neuroendoscope's tip location in the patient's brain that can significantly reduce the length and increase the accuracy of minimally invasive procedures. It is an image-guided neurosurgery system that provides integrated information of preoperative 3-D medical volumes, intra-operative neuroendoscope 2-D images, position information of the endoscope and surgical tools. The system's components include data acquisition, segmentation, multi-modal registration, 3-D surface and volume reconstruction, 3-D visualization, surgical simulation and integration of tracking systems. An articulated arm (digitizer) is used for automated registration of the 3-D model to the patient, then it is integrated with the system to dynamically localize surgical instruments and the patient's head in the patient's coordinate system. The visualization subsystem shows the position and orientation of the neuroendoscope's tip in the 3-D model of preoperative Magnetic Resonance (MR) volume and in the three orthogonal (sagittal, cronoal and axial) MR slices. The system's components and clinical applications are described.

关键词： Navigation Minimally invasive surgery Neurosurgery Biomedical imaging Endoscopes Data acquisition image segmentation Surface reconstruction image reconstruction Data visualization

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Modified fuzzy c-mean in medical image segmentation

Modified fuzzy c-mean in medical image segmentation

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： N.A. Mohamed M.N. Ahmed A. Farag E.E. Department Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

This paper describes the application of fuzzy set theory in medical imaging, namely the segmentation of brain images. We propose a fully automatic technique to obtain image clusters. A modified fuzzy c-mean (FCM) classification algorithm is used to provide a fuzzy partition. Our new method, inspired from the Markov random field (MRF), is less sensitive to noise as it filters the image while clustering it, and the filter parameters are enhanced in each iteration by the clustering process. We applied the new method on a noisy CT scan and on a single channel MRI scan. We recommend using a methodology of over segmentation to the textured MRI scan and a user guided-interface to obtain the final clusters. One of the applications of this technique is TBI recovery prediction in which it is important to consider the partial volume. It is shown that the system stabilizes after a number of iterations with the membership value of the region contours reflecting the partial volume value. The final stage of the process is devoted to decision making or the defuzzification process.

关键词： Biomedical imaging image segmentation Filters Magnetic resonance imaging Fuzzy set theory Brain Classification algorithms Clustering algorithms Partitioning algorithms Markov random fields

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Object recognition using neural networks and surface signatures

Object recognition using neural networks and surface signatu...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： S.M. Yamany A.M. El-Bialy A.A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Systems and Biomedical Engineering Department Cairo University Egypt

We present a concept for 3D free-form object recognition using a surface representation scheme. This representation scheme captures the 3D curvature information of any free-form surface and encodes it into a 2D image corresponding to a certain point on the surface. This image is unique for this point and is independent from the object translation or orientation in space. For this reason we called this image the surface point signature (SPS). Using specially designed neural networks; the SPS images are used in the matching and recognition of 3D objects in a 3D scanned scene.

关键词： Object recognition Neural networks Layout image recognition Shape image processing Laboratories computer vision Robot vision systems Application software

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A fuzzy logic method on IC lead-frame surface inspection

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Jimin Li Weon-Geun Oh Chang-Joon Park Hyeon-Jin Kim Department of Computer Science Harbin Institute of Technology China Computer Vision Research Team Image Processing Department Computer & Software Technology Laboratory Electronics and Telecommunications Research Institute South Korea

ISBN: (纸本)0780354060

The inspection of lead-frame is important in semiconductor industry. During the production process, the quality control of lead-frame plays an important role. Here we introduce a method for inspection of contamination and plating quality of lead frame. The basic method of segmentation of interested lead surface into five classes is discussed based on the samples supplied from IC manufacturing company. A two-stage inspection method is introduced based on the basic five classes. The discussion of the system realization and experimental results show the idea.

关键词： Fuzzy logic Inspection Production Pattern recognition Photonic integrated circuits Shape image processing Laboratories computer science Lead compounds

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Free-form object recognition and registration using surface signatures

Free-form object recognition and registration using surface ...

引用

IEEE International Conference on image processing

作者： S.M. Yamany A.A. Farag A. El-Bialy Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Systems and Biomedical Engineering Department Cairo University Cairo Egypt

This paper presents a new concept for 3-D free-form surface registration and object recognition using a new surface representation scheme. This representation scheme captures the 3-D curvature information of any free-form surface and encodes it into a 2-D image corresponding to a certain point on the surface. This image is unique for this point and is independent from the object translation or orientation in space. For this reason we called this image “Surface Point Signature” (SPS). This scheme can be used as a global representation of the surface as well as a local one and also in a scale independent surface matching. It performs faster registration than existing registration approaches. We applied this technique in object registration, multimodal medical image registration and the recognition of multiple objects in a 3-D scene.

关键词： Object recognition Biomedical imaging image recognition Layout Shape image processing Laboratories image registration Robot vision systems Contracts

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Integrating shape from shading and range data using neural networks

Integrating shape from shading and range data using neural n...

引用

Conference on computer vision and Pattern Recognition (CVPR)

作者： M.G.-H. Mostafa S.M. Yamany A.A. Farag Computer Vision and Image Processing Lab EE Department University of Louisville Louisville KY USA Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of visible surfaces of 3D objects. The integration process is based on propagating the error difference between the two data sets by fitting a surface to that difference and using it to correct the visible surface obtained from shape from shading. A feedforward neural network is used to fit a surface to the sparse data. We also study the use of the extended Kalman filter for supervised learning and compare it with the backpropagation algorithm. A performance analysis is done to obtain the best neural network architecture and learning algorithm. It is found that the integration of sparse depth measurements has greatly enhanced the 3D visible surface obtained from shape from shading in terms of metric measurements.

关键词： Neural networks Surface fitting Layout Surface reconstruction Sensor phenomena and characterization computer vision image reconstruction Shape measurement Machine vision Supervised learning

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Novel surface registration using the grid closest point (GCP) transform

引用

IEEE International Conference on image processing

作者： S.M. Yamany M.N. Ahmed E.E. Hemayed A.A. Farag Computer Vision and Image Processing Laboratory Electrical Engineering Department University of Louisville Louisville KY USA

ISBN: (纸本)0818688211

A novel approach has been developed for fast registration of two sets of 3-D curves or surfaces. The technique is an extension of Besl and Mackay's (1992) iterative closest point (ICP) algorithm. This technique solves the computational complexity associated with the ICP algorithm by applying a novel grid closest point (GCP) transform and a genetic algorithm to minimize the cost function. A detailed description of the algorithm is presented along with a comparison of its performance versus several registration techniques. Two applications are presented in this paper. In the first, the algorithm is used to register 2-D head contours extracted from CT/MRI data to correct for possible mis-alignment caused by motion artifacts during scanning. In the second, the algorithm is used to register 3-D segments of the human jaw obtained using the shape from shading technique. Registration using the GCP/GA technique is found to be significantly faster and of comparable accuracy than two popular techniques in the computer vision and medical imaging literature.

关键词： Iterative algorithms Iterative closest point algorithm Computational complexity Genetic algorithms Cost function Head Data mining Computed tomography Magnetic resonance imaging Registers

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A system for human jaw modeling using intra-oral images

A system for human jaw modeling using intra-oral images

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： S.M. Yamany A.A. Farag Computer Vision and Image Processing Laboratory Department of Electrical Engineering University of Louisville Louisville KY USA

A novel integrated system is developed to obtain a record of the patient's occlusion using computer vision. Data acquisition is obtained using intra-oral video camera. A modified Shape from Shading (SFS) technique using perspective projection and camera calibration is then used to extract accurate 3D information from a sequence of 2D images of the jaw. A novel technique for 3D data registration using Grid Closest Point (GCP) transform and genetic algorithms (GA) is used to register the output of the SFS stage. Triangulization is then performed, and a solid 3D model is obtained via a rapid prototype machine. The overall purpose of this research is to develop a model-based vision system for orthodontics that will replace traditional approaches and can be used in diagnosis, treatment planning, surgical simulation and implant purposes.

关键词： Humans Cameras computer vision Data acquisition Shape Calibration Data mining Genetic algorithms Solid modeling Prototypes

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Active contours: an overview with applications to motion artifact cancellation in MRI

Active contours: an overview with applications to motion art...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： D.L. Guidry A.A. Farag Computer Vision and Image Processing Lab Electrical Engineering Department University of Louisville Louisville KY USA

Motion can be estimated by detecting the edges of a moving object using Active Contours, and registering them together to obtain the motion model parameters. This idea can be applied to patient motion during the acquisition of an MRI to eliminate motion artifacts in the image. The data obtained during the MRI acquistion, the k-space, can be divided into several subbands such that each subband is acquired in a small fraction of the full imaging time. These subbands create invariant tissue feature maps called subband images. Using Active Contours, the relative motion is analyzed across the different subband images to determine the motion parameters. Using these motion parameters it is possible to correct the subbands, thus correcting the k-space. This has the potential to yield clear, noise-free MR images.

关键词： Active contours Magnetic resonance imaging image edge detection computer vision Motion estimation Object detection Motion detection Motion analysis Gray-scale Application software

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