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29th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBS 2007), vol.14

作者： H. P. Ng K. W. C. Foong S. H. Ong J. Liu P. S. Goh W. L. Nowinski Biomedical Imaging Laboratory Agency for Science Technology and Research Singapore NUS Graduate School for Integrative Sciences and Engineering Singapore Department of Preventive Dentistry National University of Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore Department of Diagnostic Radiology National University of Singapore Singapore

In this paper, we localize the shape-determinative slices of the masseter, which plays a critical role in the mastication system, from magnetic resonance (MR) data sets for clinical purposes. Shape-based criteria were used to locate the candidates for determinative slices from training data. The localization process involves tracking of the centroid and detecting the locations where the structure of the masseter undergoes an abrupt change in orientation. Having determined all the candidates which satisfy the criteria, fuzzy-c-means (FCM) clustering technique was used to establish the determinative slices. Localization of these slices will facilitate the building of more accurate models. It will also allow for more accurate computerized extraction of the masseter from MR data. In our work here, a hybrid method to shape-based interpolation is used to build the masseter model from magnetic resonance (MR) data sets, and the mean overlap index (k) achieved is 87.7%. Extraction of the masseter was carried out using our earlier proposed method and the mean k achieved is 88.9%. This indicates good agreement between the results obtained using computerized technique and those contained using manual contour tracing.

关键词： Shape Muscles Data mining Face Predictive models biomedical engineering Magnetic resonance Training data Manuals Humans

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Linking protein mass with function via organismal massome networks

Linking protein mass with function via organismal massome ne...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Alterovitz, Gil Lyashenko, Eugenia Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Children's Hospital Informatics Program at Health Sciences and Technology Harvard Medical School Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biomedical Informatics Columbia University New York NY United States

ISBN: (纸本)1424415098

With the human genome sequenced, attention has been shifting to proteins and their function. Several technologies including mass spectrometry and gel electrophoresis have traditionally been used to study proteins. These technologies rely on proteins' masses to characterize and/or identify them. Once identified, the discovered proteins' are often analyzed for their functional relevance. In this paper, we present an alternative approach to studying protein function directly, based on protein mass. By analyzing proteins with similar mass ranges (bins), we discovered that certain biological functions are associated with specific mass bins more frequently than would be expected by chance. Biological functional classes found in this manner could be seen across the three examined organisms: human, worm and fly. We found no sequence-based homology across significant mass-function proteins in the three different organisms. This investigation leads to useful property that the mass-based biological functional classes are preserved across the organisms. Thus, this paper describes a potential constraint for evolution of similar function based on mass constraints. Finally, this work yields a roadmap for experimental design for functional exploration of proteomes in mass-based technologies such as gel electrophoresis and mass spectrometry. ©2007 IEEE.

关键词： Proteins

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Enabling a strong U.S. engineering workforce for technological innovation: A national partnership in graduate professional education with industry to enhance U.S. competitiveness and economic development

Enabling a strong U.S. engineering workforce for technologic...

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114th Annual ASEE Conference and Exposition, 2007

作者： Keating, Donald Stanford, Thomas Bardo, John Dunlap, Duane DeLoatch, Eugene Tricamo, Stephen Deoew, Dennis Bertoline, Gary Schuver, Mark McHenry, Albert Lindquist, Timothy Tidwell, Joseph Palmer, Harvey Smith, Mark Morrison, Raymond Egbert, Norm Quick, David Olson, Roger Truesdale, Samuel Noori, Mohamad Sullivan, Edward Rencis, Joseph Purdy, Carla University of South Carolina United States Department of Mechanical Engineering University of South Carolina United States ASEE-Graduate Studies Division Department of Chemical Engineering University of South Carolina United States Western Carolina University United States Kimmel School Western Carolina University United States Morgan State University United States School of Engineering Morgan State University United States ASEE New Jersey Institute of Technology United States Department of Industrial and Manufacturing Engineering Purdue University United States College of Technology Purdue University United States Rolls-Royce-Purdue Master's Degree Program Purdue University United States Arizona State University United States Arizona State University Polytechnic United States Boeing Co. United States JACMET Arizona State University Polytechnic United States ASEE-College Industry Partnership Division Rochester Institute of Technology United States Kate Gleason College of Engineering Rochester Institute of Technology United States Lockheed Martin Aeronautics Co. United States Engineering Integration and Strategy Lockheed Martin Aeronautics Company United States ASEE-Corporate Rolls-Royce Corporation United States Rolls-Royce North American Technologies United States California State Polytechnic University United States College of Engineering California State Polytechnic University United States Graduate Programs and Research College of Engineering California State Polytechnic University United States University of Arkansas United States Department of Mechanical Engineering University of Arkansas Fayetteville United States ASEE-Mechanical Engineering Division ASME Mechanical Engineering Department University of Cincinnati United States Department of Electrical and Computer Engineering University of Cincinnati United States

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A comparison between traditional shift-and-add (SAA) and point-by-point back projection (BP) -- relevance to morphology of microcalcifications for isocentric motion in Digital Breast tomosynthesis (DBT)

A comparison between traditional shift-and-add (SAA) and poi...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Ying Chen Joseph Y. Lo James T. Dobbins Department of Electrical and Computer Engineering Southem Illinois University Carbondale Carbondale IL USA Duke Adavanced Imaging Laboratories Duke University Medical Center Duke University Durham NC USA Department of Biomedical Engineering Duke University and Duke University Medical Center Durham North Carolina 27710 Duke Advanced Imaging Laboratories Duke University and Duke University Medical Center Durham North Carolina 27710 Medical Physics Graduate Program Duke University and Duke University Medical Center Durham North Carolina 27710

Digital breast tomosynthesis (DBT) is a three-dimensional imaging technique providing an arbitrary set of reconstruction planes in the breast with limited series of projection images. This paper describes a comparison between traditional shift-and-add (SAA) and point-by-point back projection (BP) algorithms by impulse response and modulation transfer function (MTF) analysis. Due to the partial isocentric motion of the x-ray tube in DBT, structures such as microcalcifications appear slightly blurred in traditional shift-and-add (SAA) images in the direction perpendicular to the direction of tube's motion. Point-by-point BP improved rendition of microcalcifications. The sharpness and morphology of calcifications were improved in a human subject images. A filtered back projection (FBP) deblurring approach was used to demonstrate deblurred point-by-point BP tomosynthesis images. The point-by-point BP rather than traditional SAA should be considered as the foundation of further deblurring algorithms for DBT reconstruction.

关键词： Morphology Image reconstruction X-ray imaging Back Image edge detection Breast cancer Detectors biomedical engineering Transfer functions Humans

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A constant revenue model for telecommunication networks

A constant revenue model for telecommunication networks

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International Conference on Networking, International Conference on Systems andInternational Conference on Mobile Communications and Learning Technologies, ICN/ICONS/MCL'06

作者： Sukasdadi, Hapsara R. Verma, Pramode K. Graduate Program in Telecommunication System Department of Electrical and Computer Engineering

ISBN: (纸本)0769525520

It is well known that the quality of service provided by a telecommunication network as measured by the probability of blocking decreases rapidly when the incident traffic exceeds the design limits of the network. A higher probability of blocking results in reduced throughput and loss of revenue for the service provider. This paper presents a mechanism that introduces priority in a telephone system with the objective of providing a defined grade of service to priority traffic carrying a higher price tag. The non-priority traffic carries a lower price tag and a lower grade of service. The proposed pricing scheme maintains the overall revenue associated with the network at a constant level over a wide range of incident traffic. © 2006 IEEE.

关键词： Telecommunication networks

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Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women

Decision Fusion of Circulating Markers for Breast Cancer Det...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Jonathan L. Jesneck Sayan Mukherjee Loren W. Nolte Anna E. Lokshin Jeffrey R. Marks Joseph Lo Duke Advanced Imaging Labs Institute for Genome Sciences and Policy Department of Computer Science Duke University USA Department of Electrical and Computer Engineering Division of Hematology/Oncology University of Pittsburgh School of Medicine Pittsburgh PA USA Division of Hematology/Oncology University of Pittsburgh Cancer Institute Pittsburgh PA USA Division of Hematology/Oncology University of Pittsburgh Cancer Institute Pittsburgh PA Institute for Genome Sciences and Policy Department of Experimental Surgery Medical Center Duke University USA Department of Experimental Surgery Duke University Medical Center Medical Physics Graduate Program Duke University Durham NC USA

Current mammographic screening for breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Because the data set was very noisy and contained only weak features, we used a classifier designed for noisy data: decision fusion. Decision fusion outperformed both a support vector machine (SVM) and linear regression with forward stepwise feature selection on all three two-class classification tasks: normal tissue vs. cancer, normal tissue vs. benign lesions, and benign lesions vs. cancer. Decision fusion detected cancer moderately well (AUC=0.84 on normal vs. cancer), demonstrating promise as a screening tool. Decision fusion also detected benign lesions similarly well (AUC=0.83 on normal vs. benign lesions) and was the only classifier to achieve any success in separating benign from malignant lesions (AUC=0.64 on benign vs. cancer). The classification results suggest that the assayed proteins are more indicative of a secondary effect, such as immune response, rather than specific for breast cancer. In conclusion, the decision fusion classifier demonstrated some promise in detecting breast lesions and outperformed other classifiers, especially for the very noisy classification problem of distinguishing benign from malignant lesions.

关键词： Breast cancer Cancer detection Lesions Proteins Support vector machines Support vector machine classification Mammography Testing Blood Linear regression

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The article provides information on a workshop on the development of imaging systems for cancer prevention and preemption convened by the U.S. National Cancer Institute (NCI) Cancer Imaging program held in Gaithersburg, Maryland. Doctor Katherine Ferrara of the University of California discussed the function of ultrasound in breast tumor imaging. Ways to close the gap between development and application of imaging approaches were tackled in a roundtable discussion on cervix and skin cancer.

关键词： FORUMS (Discussion & debate) IMAGING systems in medicine CANCER prevention

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Modeling of biochemical pathways: Physical interpretation of network behavior

Modeling of biochemical pathways: Physical interpretation of...

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IEEE 32nd Annual Northeast Bioengineering Conference, 2006

作者： Sarvia, Tricia A. Sun, Ying Biomedical Engineering Program Department of Electrical and Computer Engineering University of Rhode Island Kingston RI 02881 United States

ISBN: (纸本)0780395638

The development of computational models allows one to easily reveal certain behaviors of the biochemical network of interest. In this project we seek to represent the set of rate equations used to describe the dynamics of a system with a common physical model. This allows for the reduction of such complexities that can restrict the model's overall stability. Conclusions from preliminary data have shown that the model produces valid results consistent with experimental data. We also have tested the model's reliability by reversing the reaction's driving potential. It has been concluded that this modeling approach gives logical and consistent results. The next phase of this project would be to apply this approach to a larger biochemical process, such as glycolysis. © 2006 IEEE.

关键词： Medical computing

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electrically modeled reciprocal inhibitory oscillator

Electrically modeled reciprocal inhibitory oscillator

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IEEE 32nd Annual Northeast Bioengineering Conference, 2006

作者： Keseberg, Christoph Maio-Cannon, Shannon Mackenzie, Christopher Chabot, Eugene DiCecco, John Wu, Jiang Sun, Ying Biomedical Engineering Program Department of Electrical and Computer Engineering University of Rhode Island Kingston RI 02881-0805 United States

ISBN: (纸本)0780395638

A model of the neuronal reciprocal inhibitory oscillator was developed in this study by use of an entirely electronic platform. Neuronal Oscillators were widely studied in previous research due to their important roll as central pattern generators. Our model consisted of two electronic components, the neuron emulator for modeling the electrical activities of a neuron and the artificial synapse for mimicking a synaptic connection between two neurons. The typical bursting patterns of action potentials were demonstrated by connecting two Neuron Emulators with the Artificial Synapse. These electronic devices provided a unique hardware platform for studying reciprocal inhibitory oscillators and other neuronal networks. © 2006 IEEE.

关键词： Oscillators (electronic)

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Shortening-deactivation and stretch-activation during spontaneous contraction and relaxation of bivalve cardiac muscles

Shortening-deactivation and stretch-activation during sponta...

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IEEE 32nd Annual Northeast Bioengineering Conference, 2006

作者： Pizza, Christopher Donoian, Armen Booker, Shyla Sun, Ying Biomedical Engineering Program Department of Electrical and Computer Engineering University of Rhode Island Kingston RI 02881-0805 United States

ISBN: (纸本)0780395638

Shortening-deactivation and Stretch-activation are well established techniques to study the dynamics of muscles. However, very limited data exists for comparing the two techniques. This study was conducted to perform stretch and release on the same muscle specimen and to determine whether a correlation exists between the two data sets. The entire heart of the clam (Venus mercenaria) was used in a muscle bath preparation. The neurotransmitter 5-hydroxytryptamine (5HT) was used to modulate the cardiac rhythmicity. Stretch-activation and shortening-deactivation at different phases of a spontaneous contraction cycle were introduced by used a computer-controller lever system. A preliminary analysis based on the time integral of the deviation of a perturbed force curve from the normal curve did not show a significant correlation between stretch-activation and shortening-deactivaton. Future study will include additional experiments and more sophisticated model-based analyses. © 2006 IEEE.

关键词： Muscle

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