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Filter networks for efficient estimation of local 3-D structure

Filter networks for efficient estimation of local 3-D struct...

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IEEE international Conference on image processing

作者： B. Svensson M. Andersson H. Knutsson Department of Biomedical Engineering Medical Informatics and Center for Medical Image Science and Visualization Linköping University Sweden

Linear filtering is a fundamental operation in signal processing, but for multidimensional signals the practical use is severely limited by the computer power available. Decomposition of filters into a layered structure of sparse subfilters, i.e. a filter network, significantly reduces the number of multiplications required for each data sample. A filter network, here used for phase invariant estimation of local 3-D structure, provides a flexible solution for linear filtering, especially suited for applying a set of filters on signals of higher dimensionality. The filter network presented, is twice as efficient as convolution based on the fast Fourier transform (FFT) and outperforms standard convolution by a factor exceeding 50 in terms of multiplications and additions performed.

关键词： Finite impulse response filter Nonlinear filters Multidimensional signal processing Convolution Filtering Maximum likelihood detection biomedical signal processing signal processing Computer networks biomedical engineering

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Adaptive multirate data acquisition of 3D cell images

Adaptive multirate data acquisition of 3D cell images

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international Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： T.E. Merryman J. Kovacevic E.G. Osuna R.F. Murphy Center for Bioimage Informatics Departments of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Departments of Electr. & Comput. Eng. Carnegie Mellon Univ. Pittsburgh PA USA Center for Bioimage Informatics Biomedical Engineering Carnegie Mellon University Pittsburgh PA USA Departments of Electrical and Computer Engineering Biological Sciences Carnegie Mellon University Pittsburgh PA USA

We present an algorithm for efficient acquisition of fluorescence microscopy data sets, a problem not addressed until now in the literature. We do this as part of a larger system for protein classification based on their subcellular location patterns, and thus strive to maintain the achieved level of classification accuracy as much as possible. This problem is similar to image compression but unique due to additional restrictions, namely causality; we have access only to the information that has been scanned up to that point. While we do want to acquire fewer samples with as low distortion as possible to achieve compression, our goal is to do so while affecting the overall classification accuracy as little as possible. We achieve this by using an adaptive multiresolution scanning scheme which samples the regions of the image area that hold the most pertinent information. Our results show that we can achieve significant compression which we can then use to increase either time or space resolution of our data set, all while minimally affecting the classification accuracy of the entire system.

关键词： Data acquisition Microscopy image coding Fluorescence Rate-distortion image resolution Pixel Proteins biomedical informatics biomedical engineering

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Interactive 3D filter design for ultrasound artifact reduction

Interactive 3D filter design for ultrasound artifact reducti...

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IEEE international Conference on image processing

作者： N.E. Bylund M. Andersson H. Knutsson Medical Informatics Department of Biomedical Engineering Center for Medical Image Science and Visualization Linköping University Linkoping Sweden

A method for detecting and reducing reverberation artifacts in ultrasound image sequences is described. A reverberation artifact localization map is produced using local Rf-bandwidth estimation. To reduce the artifacts an ideal 3D (2D + time) Wiener filter function is computed by using the reverberation map to interactively produce an estimate of the noise and signal spectra. The Wiener filter kernel is optimized to obtain good locality properties. The optimized filter is then applied to the ultrasound image sequence. The test sequence used is from an open chest pig heart, corrupted by strong reverberation artifacts. The selective power of a 3D filter is far superior to that of ID and 2D filters and the reverberation artifacts are almost completely removed by the developed method.

关键词： Ultrasonic imaging Reverberation Wiener filter Frequency estimation Bandwidth Kernel image sequences Heart Frequency response biomedical informatics

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Localization of sections within the brain via 2D to 3D image registration

Localization of sections within the brain via 2D to 3D image...

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international Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： S. Gefen L. Bertrand N. Kiryati J. Nissanov Laboratory for Bioimaging and Anatomical Informatics Department of Neurobiology & Anatomy Drexel University College of Medicine Philadelphia PA USA School of Electrical Engineering Tel-Aviv University Tel-Aviv Israel

The mouse brain library (MBL) is a database of brain images, each consisting of sparse coronal or horizontal sections. To facilitate morphometric research, it is necessary to index each of these sections by its location within a canonical 3D atlas (NeuroTerrain). This is done with a 2D to 3D matching technique which was developed in this study. The registration method is imaged-based and uses a genetic algorithm to find the local-affine transformation that maximizes a mutual information metric. The average distance between the registration results achieved with the proposed method as compared with manual matching by an expert was 250 microns. This compares well with repeated manual trials where inter-trial matching distance was on average 200 microns.

关键词： image registration Genetic algorithms Surface reconstruction Mice Libraries Capacitive sensors Magnetic resonance imaging Brain modeling Laboratories biomedical informatics

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Multiscale analysis of the chronic viral hepatitis database: An approach from pattern recognition

Multiscale analysis of the chronic viral hepatitis database:...

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image processing, Biomedicine, Multimedia, Financial engineering and Manufacturing - international Forum on Multimedia image processing, IFMIP - Sixth Biannual World Automation congress, WAC 2004

作者： Hirano, Shoji Tsumoto, And Shusaku Department of Medical Informatics Shimane University School of Medicine Japan

ISBN: (纸本)188933524X

This paper presents a novel method of time-series medical data analysis based on the improved multiscale matching. Multiscale matching, developed originally as a pattern recognition technique, has an ability to compare two shapes by partly changing observation scales. We have made some improvements to the conventional multiscale matching in order to enable the cross-scale, granularity-based comparison of long-term time-series sequences. The key idea is development of a new segment representation that eludes the problem of shrinkage. We induced shape parameters of a segment at high scale directly from the base segments at the lowest scale, instead of using shapes represented by multiscale description. We examined the usefulness of the method on the chronic hepatitis dataset, which contains the long-term collection of laboratory examination results, and found some interesting patterns that may represent the effectiveness of interferon treatment.

关键词： biomedical engineering

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Tumor imaging through temporal log-slope difference mapping of transient radiation signals

Tumor imaging through temporal log-slope difference mapping ...

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2004 ASME international Mechanical engineering congress and Exposition, IMECE

作者： Guo, Zhixiong Wan, Slew Kan August, David A. Dunn, Stanley M. Semmlow, John L. Department of Mechanical and Aerospace Engineering Rutgers The State University of New Jersey 98 Brett Road Piscataway NJ 08854 United States UMDNJ Robert Wood Johnson Medical School Cancer Institute of New Jersey New Brunswick NJ 08903 United States Department of Biomedical Engineering Rutgers University Piscataway NJ 08854 United States

A novel optical approach is proposed for cancerous tumor detection using transient radiation signals. In this method, target tissue is illuminated by near-infrared ultrashort laser pulses from various surface source points, and backscattered time-resolved light signals are collected at the same surface points. By analyzing the log-slopes of decaying signals over all points on the source-detection grid, a log-slope distribution on the surface is obtained. After administration of absorption contrast agents, the presence of cancerous tumors increases the decaying steepness of the transient signals. The mapping of log-slope difference between native tissue and absorption-enhanced cancerous tissue indicates the location and projection of tumors on the detection surface. In this paper, we examine this method through the detection of a small tumor in a model tissue phantom via computer simulation. The model has a spherical tumor of 6 mm in diameter embedded at the tissue center. Monte Carlo methods were employed to simulate the light transport and signal measurement. It is shown that the tumor in the tissue model can be accurately projected onto the detection surface by the proposed log-slope difference mapping method. The image processing is very fast and does not require any inverse optimization in image reconstruction. Copyright © 2004 by ASME.

关键词： Medical imaging

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Multi-lead ECG electrode array for clinical application of electrocardiographic inverse problem

Multi-lead ECG electrode array for clinical application of e...

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Annual international Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： C. Hintermuller G. Fischer M. Seger B. Pfeifer F. Hanser R. Modre B. Tilg Institute for Biomedical Signal Processing and Imaging Medical Informatics and Technology University for Health Sciences Innsbruck Austria

Methods for noninvasive imaging of electric function of the heart might become clinical standard procedure the next years. Thus, the overall procedure has to meet clinical requirements as easy and fast application. In this study we propose a new electrode array which improves the information content in the ECG map, considering clinical constraints such as easy to apply and compatibility with routine leads. A major challenge is the development of an electrode array which yields a high information content even for a large interindividual variation in torso shape. For identifying regions of high information content we introduce the concept of a locally applied virtual electrode array. As a result of our analysis we constructed a new electrode array consisting of two L-shaped regular spaced parts and compared it to the electrode array we use for clinical studies upon activation time imaging. We assume that one side effect caused by the regular shape and spacing of the new array be that the reconstruction of electrodes placed on the patients back is simplified. It may be sufficient to record a few characteristic electrode positions and merge them with a model of the posterior array.

关键词： Electrocardiography Inverse problems Heart Conductors biomedical electrodes biomedical imaging Shape image reconstruction Surface reconstruction image storage

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Filtering and contrast enhancement on subtracted direct digital angiograms

Filtering and contrast enhancement on subtracted direct digi...

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Annual international Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： L. Nagy B. Benyo Department of Control Engineering and Information Technology Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Department of Informatics Széchenyi István University Gyor Hungary

This work presents the results of a research related to medical image subtraction algorithms. The selected area is of direct digital X-ray angiography, where subtraction algorithms are the basis of most acquisition and reviewing protocols. The goal of this research is to analyze the currently existing image subtraction algorithms and to propose a new approach based on the experienced limitations, respectively to develop a new imaging technique that allows both contrast agent and radiation dose reduction. The enhancement of the subtraction algorithms is targeted by two means: a) noise reduction on image frames, b) identification of contrast agent injected regions. Both aspects will be studied based on the analysis of the spatio-temporal signal variation that image pixel intensities represent, therefore the resulting algorithm can not be used real time during image acquisition, but as a post processing technique during review. The temporal variation of pixel intensities was then analyzed and a patter check was followed to identify pixels being part of a contrast agent injected region. This information was used to highlight regions of interest and to increase the contrast in poorly injected areas.

关键词： Digital filters Filtering image analysis Algorithm design and analysis biomedical imaging X-ray imaging Angiography Protocols Optical imaging Noise reduction

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Simulation of atrial electrophysiology and body surface potentials for normal and abnormal rhythm

Simulation of atrial electrophysiology and body surface pote...

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Annual international Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： M. Seger G. Fischer R. Modre F. Hanser B. Pfeifer C. Hintermuller F.X. Roithinger F. Hintringer T. Trieb M. Schocke B. Tilg Institute for Biomedical Signal Processing and Imaging Medical Informatics and Technology University for Health Sciences Innsbruck Austria Department of Cardiology Medical University of Innsbruck Innsbruck Austria Department of Radiology I Medical University of Innsbruck Innsbruck Austria

The effect of different atrial electrical activation sequences (sinus rhythm and atrial flutter circling in the right atrium) on the body surface potentials is investigated in this study. A realistic volume conductor model consisting of atria, lungs, chest and blood masses is generated from image stacks recorded by magnetic resonance imaging. The electrical sources-the transmembrane potentials-within the atrial volumetric model are simulated for different atrial rhythms employing a cellular automaton capable of considering different parameters depending on the specific properties of the tissues. The potentials on the torso surface are computed applying the finite element method for solving the differential equations derived from the bidomain theory. Both the simulated atrial activation patterns and the computed torso potentials for atrial sinus rhythm and atrial flutter are in qualitatively and quantitatively good agreement with data measured in humans. The simulation of body surface potentials generated by different electrical activation sequences in the atria or ventricles allows testing and assessing noninvasive imaging of cardiac electrophysiology, as both the potentials on the body surface and the reference activation in the heart are available.

关键词： Rhythm Computational modeling Torso Biological system modeling Conductors Lungs Blood image generation Magnetic resonance imaging Automata

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An Automated Technique for the Interpretation of Biosignals

An Automated Technique for the Interpretation of Biosignals

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Proceedings of the international Conference on Mathematics and engineering Techniques in Medicine and Biological Sciences, METMBS'03

作者： Haque, Syed Mital, Dinesh P. Srinivasan, Shankar Agarwal, Ritu Department of Health Informatics School of Health Related Professions University of Medicine and Dentistry NJ 07107

ISBN: (纸本)1932415041

Timely detection and assessment of a disease is the most crucial and fundamental step of an effective treatment. In cases of neurological disorders, a prompt and accurate diagnosis is vital to prevent permanent brain damage that could also be lethal. Evoked potential (EP) monitoring, especially in operation theatre and intensive care, is an important indicator of the proper brain functioning and the depth of anesthesia. Currently, detection and interpretation of EP is visual, time consuming and requires trained professionals. Also, EPs are very difficult to detect in real time and its manual detection and interpretation results in large element of inconsistency and subjectivity. We have developed an algorithm, which is capable of automatically detecting and interpreting the EEG waveforms for the presence or absence of EP in real time and warn the user about the possible abnormalities. The proposed looks for the presence or absence of the EPs in the pre-selected time windows. The entire duration of the waveforms are not examined. Typically the examined data are about 10-15 % of the total recorded data. Our project objectives were: 1) To convert the paper form of patient EEG records in to digital format, suitable for computer processing. 2) To smoothen the waveform to reduce the misclassification due to noise or transient effects. 3) To identify peaks and troughs in the waveforms and calculate the latency and amplitudes of the EP in the critical sections of three channels of somatosensory EP records. 4) To flash warning signals and mark the sections of the waveforms if any abnormality is detected. The MATLAB image processing and signal processing toolbox were used to develop the algorithms. Our software works well and is successful in detecting the peaks and valleys and then calculating the peak amplitude and onset latency in the EP waveforms. However, it has not been tested extensively. It may require further improvements for achieving robustness and consistency. Alg

关键词： biomedical engineering

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