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Multi-modal medical volumes fusion by surface matching

Multi-modal medical volumes fusion by surface matching

引用

International Symposium on Signal Processing and Its Applications (ISSPA)

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

Presents a fast, six degrees of freedom, registration technique to accurately locate the position and orientation of medical volumes (e.g. CT, MRI) with respect to each other for the same patient. The technique uses surface registration and maximization of mutual information. We have developed a novel technique for surface registration which produces highly accurate results when registering two different volumes of the same individual generated from the same modality, such as preoperative MR and intraoperative MR volumes. In case surface registration is not able to accurately register the different volumes, the result is enhanced by multi-modal volume registration. The gain of this combination is to have an accurate alignment and to reduce time needed for registration. For the multi-modal volume registration, the maximization of mutual information (MI) as a matching criterion is used based on genetic algorithms (GA) as a search engine. Our results demonstrate that our registration technique allows for fast, accurate, robust and completely automatic registration of multimodality medical volumes.

关键词： Biomedical imaging Medical diagnostic imaging Computed tomography Mutual information Magnetic resonance imaging Data mining Magnetic resonance Genetic algorithms Shape computer vision

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Rigid neuroendoscope navigation system for minimally invasive surgery

Rigid neuroendoscope navigation system for minimally invasiv...

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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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Using active contours and Fourier descriptors for motion tracking with applications in MRI

Using active contours and Fourier descriptors for motion tra...

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IEEE International Conference on image Processing

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

To estimate motion, the edges of a moving object can be detected using active contours. After detecting the edges throughout the duration of the motion, the contours are registered together in order to obtain the motion model parameters. This idea can be applied to motion artifacts in Magnetic Resonance images (MRI) which are caused by patient motion during the acquisition of an MRI. Thus, if the patient motion can be determined, it will be possible to correct for the motion in the images. The proposed method eliminates motion artifacts by dividing the acquired MRI data into several subbands. These subbands create invariant tissue feature maps called subband images. Using active contours, the edges of each subband image are detected and the relative motion is analyzed across the different subband images, thus determining the motion parameters. From these motion parameters it is possible to correct the subband images, thus correcting the k-space yielding clear, noise-free MR images.

关键词： Active contours Tracking image edge detection Motion detection Magnetic resonance imaging Motion analysis Motion estimation Object detection Magnetic resonance image analysis

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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...

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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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A real-time occupancy map from multiple video streams

A real-time occupancy map from multiple video streams

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IEEE International Conference on Robotics and Automation (ICRA)

作者： A. Hoover B.D. Olsen Electrical and Computer Engineering Department Visual Computing Lab University of California San Diego La Jolla CA USA Department of Medical Inform. & Image Analysis Laboratory of Image Analysis University of Aalborg Denmark

We describe an algorithm to fuse intensity data from multiple video cameras to create a spatial-temporal occupancy map. The camera layout is assumed to resemble a security video network. The occupancy map is a two-dimensional raster image, uniformly distributed in the floor-plane. Each map pixel contains a binary value, signifying whether the designated floorspace is empty or occupied. Our algorithm requires only one difference and one look-up table operation to determine each pixel's effect upon the map. This brevity of operations allows the spatial occupancy map to be temporally computed at real-time video rates. We demonstrate our algorithm operating in several dynamic scenarios.

关键词： Streaming media Cameras Signal processing algorithms Fuses Data security Table lookup image analysis image processing Biomedical imaging Laboratories

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Path planning for mobile robots using a video camera network

Path planning for mobile robots using a video camera network

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

We describe a novel method to plan paths for mobile robots in an environment observed by a network of video cameras. The multiple video streams are fused to generate a spatial-temporal map of freespace. Updated at 5 Hz, this map concurrently locates both static and dynamic obstacles. Our novel method computes a polynomial-shaped path from current position to goal position for each map update (at 5 Hz), thus accomplishing both path planning and dynamic obstacle avoidance simultaneously. We demonstrate our methods operating in several dynamic scenarios, and compare our methods against paths planned using a numeric potential field.

关键词： Path planning Mobile robots Robot vision systems Cameras Robotics and automation Robot sensing systems computer vision computer networks Polynomials Mechanical sensors

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The mapping of texture on VR polygonal models 2

The mapping of texture on VR polygonal models

引用

2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

作者： Laurendeau, Denis Bertrand, Nathalie Houde, Régis Computer Vision and Systems Laboratory Department of Electrical Engineering and Computer Engineering Laval University QuebecQCG1K 7P4 Canada Robotics Division Hydro Quebec Research Institute VarennesQCJ3X 1S1 Canada

ISBN: (纸本)0769500625

The paper addresses the problem of choosing automatically, and without user intervention, the best possible 2D image that should be used to map as a texture on polygons of a geometric model of complex scenes made of several objects. The geometric models and the texture data are obtained separately: the models are built from range data while the texture information is obtained from 2D color images of the scene. The system does not make any assumption on the way the texture data has been acquired. Texture selection results are presented for an indoor scene. © 1999 IEEE.

关键词： image texture

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The analysis of underwater acoustic data via 3-D segmentation

The analysis of underwater acoustic data via 3-D segmentatio...

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Asilomar Conference on Signals, Systems & computers

作者： T.R. Reed R.E. Loke J.M.H. du Buf Department of Electrical and Computer Engineering University of California Davis CA USA Vision Laboratory Department of Electronics and Computer Science University of Algarve Portugal

The analysis of seabed structure is important in a wide variety of scientific and industrial applications. In this paper, underwater acoustic data produced by bottom-penetrating sonar (Topas) are analyzed using unsupervised volumetric segmentation, based on a three dimensional Gibbs-Markov model. The result is a concise and accurate description of the seabed, in which key structures are emphasized. This description is also very well suited to further operations, such as the enhancement and automatic recognition of important structures. Experimental results demonstrating the effectiveness of this approach are shown, using Topas data gathered in the North Sea off Horten, Norway.

关键词： Underwater acoustics Nearest neighbor searches Application software Iterative algorithms computer industry Sonar Monitoring Statistics Sea measurements Data analysis

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Cursive character detection using incremental learning

Cursive character detection using incremental learning

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International Conference on Document analysis and Recognition

作者： J.-F. Hebert M. Parizeau N. Ghazzali Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University QUE Canada Department of Mathematics and Statistic Laval University QUE Canada

This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture detects the occurrence of unknown data and automatically adapts the structure of the network to learn these new data, without degrading previous knowledge. The architecture combines an unsupervised self-organizing map with a supervised perceptron network to form the hybrid self-organizing perceptron (SOP) network. Recognition experiments conducted on isolated characters taken in the context of cursive words show the promising incremental capabilities of this SOP network.

关键词： Neural networks Character recognition Organizing Neurons computer vision Laboratories Mathematics Statistics Degradation Pattern recognition

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Automatic optical station keeping and navigation of an ROV;sea trial experiments

Automatic optical station keeping and navigation of an ROV;s...

引用

OCEANS

作者： X. Xu S. Negahdaripour Underwater Vision and Imaging Laboratory Electrical and Computer Engineering Department University of Miami Coral Gables FL USA

In earlier work, the authors have described the development of a vision system in support of the autonomous operation or operated-assisted missions of AUVS and ROVs near the ocean bottom, S. Negahdaripour et al. (1998). The seafloor images, acquired by a down-look camera installed on the submersible platform, are processed by the vision system in order to detect and estimate its motion in real time. This information is utilized to realize a number of capabilities, including automatic station keeping, navigation and trajectory following, and the construction of a composite (mosaic) image of the seafloor. This paper describes preliminary sea trial experiments to evaluate the performance of the vision system on a Phantom XTL ROV.

关键词： Navigation Remotely operated vehicles Machine vision Sea floor Oceans Cameras Underwater vehicles Motion detection Motion estimation Real time systems

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