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IEEE International Conference on Image Processing

作者： Marcelo Rudek Osiris Canciglieri Andreas Jahnen Gerson Linck Bichinho Industrial and Systems Engineering Graduate Program - Pontifical Catholic University of Parana PUCPR Brazil. Ressource Centre for HealthCare Technologies (SANTEC) Public Research Centre Henri Tudor Luxembourg. Technology in Healthcare Postgraduate Program - Pontifical Catholic University of Parana PUCPR Brazil.

ISBN: (纸本)9781479923427

This paper addresses the problem of automated prosthesis modelling and manufacturing, whose machining parameters are based on images extracted from different medical databases. The specific case of 3D surface restoration of a defective skull was used as study case. A method based on adjusted ellipses on skull bone curvature performs the symbolic representation of searching parameters. The superellipse concept permits to define geometric parameters to fit an ellipse on each Computed Tomography slice. Those ellipse descriptors can be used as a template for the retrieval of similar images from databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through an optimization algorithm. The slices found by similarity are retrieved from all databases in order to build the 3D model. Experiments show that the proposed method is a promising technique for content based image retrieval.

关键词： Prosthesis Modelling Image Retrieval Ellipse 3D Medical Imaging Ellipse image retrieval Medical imaging content-based image retrieval Skull retrieval Database X-Ray Computed Tomography Three Dimensions Descriptors images geometric parameter Optimization algorithms

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Proceedings from the 9th annual conference on the science of dissemination and implementation: Washington, DC, USA. 14-15 December 2016

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Implement Sci 2017年第SUPPL 1期12卷 48-48页

作者： David Chambers Lisa Simpson Gila Neta Ulrica von Thiele Schwarz Antoinette Percy-Laurry Gregory A. Aarons Ross Brownson Amanda Vogel Shannon Wiltsey Stirman Kenneth Sherr Rachel Sturke Wynne E. Norton Allyson Varley Cynthia Vinson Lisa Klesges Suzanne Heurtin-Roberts M. Rashad Massoud Leighann Kimble Arne Beck Claire Neely Jennifer Boggs Carmel Nichols Wen Wan Erin Staab Neda Laiteerapong Nathalie Moise Ravi Shah Susan Essock Margaret Handley Amy Jones Jay Carruthers Karina Davidson Lauren Peccoralo Lloyd Sederer Todd Molfenter Ashley Scudder Sarah Taber-Thomas Kristen Schaffner Amy Herschell Eva Woodward Jeffery Pitcock Mona Ritchie JoAnn Kirchner Julia E. Moore Sobia Khan Shusmita Rashid Jamie Park Melissa Courvoisier Sharon Straus Daniel Blonigen Allison Rodriguez Luisa Manfredi Andrea Nevedal Joel Rosenthal David Smelson Christine Timko Nicole Stadnick Jennifer Regan Miya Barnett Anna Lau Lauren Brookman-Frazee Erick Guerrero Karissa Fenwick Yinfei Kong Gregory Aarons Rebecca Lengnick-Hall Benjamin Henwood Nina Sayer Craig Rosen Robert Orazem Brandy Smith Lindsey Zimmerman David Lounsbury Rachel Kimerling Jodie A. Trafton Steven Lindley Rahul Bhargava Hal Roberts Laura Gibson Gabriel J. Escobar Vincent Liu Benjamin Turk Arona Ragins Patricia Kipnis Ashley Ketterer Gruszkowski Michael W. Kennedy Emily Rentschler Drobek Lior Turgeman Aleksandra Sasha Milicevic Terrence L. Hubert Larissa Myaskovsky Youxu C. Tjader Robert J. Monte Kathryn G. Sapnas Edmond Ramly Diane R Lauver Christie M Bartels Shereef Elnahal Andrea Ippolito Hillary Peabody Carolyn Clancy Randall Cebul Thomas Love Douglas Einstadter Shari Bolen Brook Watts Vera Yakovchenko Angela Park William Lukesh Donald R. Miller David Thornton Mari-Lynn Drainoni Allen L. Gifford Shawna Smith Julia Kyle Mark S Bauer Daniel Eisenberg Celeste Liebrecht Michelle Barbaresso Amy Kilbourne Elyse Park Giselle Perez Jamie Ostroff Sarah Greene Michael Parchman Brian Austin Eric Larson Stefanie Ferreri Chris Shea Megan Smith Kea Turner Jennifer Bacci Kyle Bigham Geoffr Division of Cancer Control and Population Sciences National Cancer Institute Rockville MD 20850 USA AcademyHealth Washington DC 20009 USA Department of Learning Informatics Management and Ethics Karolinska Institutet Stockholm 17177 Sweden Department of Psychiatry University of California San Diego San Diego CA 92093 USA George Warren Brown School of Social Work Washington University in St. Louis St. Louis MO 63130 USA Center for Global Health National Cancer Institute Rockville MD 20850 USA Dissemination and Training Division VA National Center for PTSD Palo Alto CA 94305 USA Department of Global Health University of Washington Seattle WA 98105 USA Center for Global Health Studies Fogarty International Center National Institutes of Health Bethesda MD 20912 USA School of Public Health University of Alabama at Birmingham Birmingham AL 35243 USA School of Public Health University of Memphis Memphis TN 38152 USA USAID Applying Science to Strengthen and Improve Systems (ASSIST) Project Bethesda Maryland 20814 USA Institute for Health Research Kaiser Permanente Denver CO 80231 USA ICSI Institute for Clinical Systems Improvement Bloomington MN 55425 USA Medicine University of Chicago Chicago IL 60637 USA Medicine Columbia University Medical Center New York NY 10032 USA Psychiatry Columbia University New York NY 10032 USA General Internal Medicine Epidemiology and Biostatistics University of California San Francisco San Francisco CA 94110 USA New York State Office of Mental Health New York NY 10001 USA Medicine Icahn School of Medicine at Mount Sinai New York NY 10029 USA Center for Health Enhancement System Studies University of Wisconsin Madison WI 53706 USA Department of Psychiatry University of Pittsburgh Pittsburgh PA 15213 USA Psychology University at Buffalo Buffalo NY 14260 USA Department of Psychology West Virginia University Morgantown WV 26506 USA MIRECC VA North Little Rock AR 72114 USA QUERI for Team-Based Behavioral Health Centr

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Capacity management and patient scheduling in an outpatient clinic using discrete event simulation 13

Capacity management and patient scheduling in an outpatient ...

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Simulation Winter Conference

作者： Gokce Akin Julie S. Ivy Todd R. Huschka Thomas R. Rohleder Yariv N. Marmor Graduate Program in Operations Research North Carolina State University Raleigh NC USA Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University Raleigh NC USA Department of Health Care Policy and Research Mayo Clinic Rochester MN USA

ISBN: (纸本)9781479920778

Capacity management and scheduling decisions are important for managing an outpatient clinic in which multiple classes of patients are treated. After an appointment is scheduled, it can be rescheduled, cancelled, or a patient may not show-up on their appointment day. This study simulates the behavior of patients with regard to the time to appointment, examining different demand rates and service times for each patient class (new external patients, internal patients, established patients and subsequent visit patients); we also consider different delay-dependent reschedule, cancellation, and no-show rates. A discrete event simulation model is developed to analyze the effects of allowing different appointment windows, i.e., the maximum time between the appointment request date and the actual appointment date, for different patient classes. Capacity utilization, patient access, and financial rewards are used as the performance indicators.

关键词： Analytical models Delays Medical services Calendars Mathematical model Data models Data analysis

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An optimized method for anatomic skull prosthesis modelling

An optimized method for anatomic skull prosthesis modelling

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IASTED International Conference on Computer Graphics and Imaging, CGIM 2012

作者： Rudek, Marcelo Junior, Osiris Canciglieri Greboge, Thiago Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Parana - PUCPR Imaculada Conceicao Street 1155 - Curitiba-Parana Brazil

ISBN: (纸本)9780889869219

This paper proposes a method to create a geometric model of anatomically adjusted skull prosthesis to be used in machining. The missing area in a skull bone due a hole can be virtually filled in each tomography slice by an adjusted arc. The idea is to generate the missing information from a criterion based on the curvature of the skull shape. We are proposing the use of an adjusted ellipse on its curvature. If the ellipse is properly adjusted in each computed tomography slice, the arcs that represent the part of missing bone can be reconstructed in 3D. The problem is that many ellipses can be created similarly, and the best solution must be found. For this study we have used AI-based techniques that help in choosing an appropriate solution. It was employed the Particle Swarm Optimization (PSO) algorithm in order to find the best solution for each tomographic slice. Once the solution found for each slice, the area of missing bone can be virtually rebuilt to generate the profile in a CAD system. The process results in a new image, which is adjusted model to the prosthesis anatomical area absent in bone structure.

关键词： Prosthetics

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A Multi-Start Procedure for the Minimum Latency Problem

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IFAC Proceedings Volumes 2013年第9期46卷 436-441页

作者： Francisco Angel-Bello Ada Alvarez Irma García Tecnológico de Monterrey Campus Monterrey Department of Industrial and Systems Engineering Ave. Eugenio Garza Sada 2501. Monterrey Nuevo León México CP 64849 Universidad Autónoma de Nuevo León Graduate Program in Systems Engineering Ave. Universidad s/n. San Nicolás Nuevo León México CP 66451 Universidad Autónoma de Coahuila Research Center on Applied Mathematics Edif. S Campo Redondo Saltillo Coahuila México CP 25280

In this paper we address a minimum latency problem and propose a multi-start strategy for solving it. For constructing initial solutions two procedures are designed, which are based on metaheuristic GRASP. We also develop a post-processing procedure based on Path Relinking to improve the obtained solutions. We carry up an extensive experimentation with 225 symmetrical instances to evaluate our procedures. In addition, using instances from literature, we compare our best procedure with previously reported methods, showing that the proposed procedure outperforms them in terms of solution quality and in elapsed CPU time to reach the solution.

关键词： Operational research Supply chains networks

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A case study on statistical characterization and optimization of coercivity in cobalt ferrite nanoparticles

A case study on statistical characterization and optimizatio...

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作者： Cedeño-Mattei, Y. Sánchez-Peña, M.L. Lara-Rodríguez, Y. Perales-Pérez, Ó. Cabrera-Ríos, M. Engineering Science and Materials Department University of Puerto Rico at Mayagüez Mayagüez Puerto Rico Industrial Engineering Department University of Puerto Rico Mayagüez Mayagüez 00681-9000 Puerto Rico Graduate Program in Systems Engineering University of Nuevo León Nuevo León Mexico

Characterization and optimization of material properties during synthesis and processing are frequent problems in materials science and engineering. In the present paper, the use of design of experiments (DOE) to characterize and improve coercivity in cobalt ferrite nanoparticles is described. The sequence of experiments was planned to capitalize on previous experimental runs available. Emphasis is placed on the rationale for choosing the additional runs. The results reveal that the choice of an adequate initial experimental design can save effort and resources in arriving at useful conclusions upon which subsequent experimental runs can be planned, capitalizing on the initial experimental structure. A region with attractive solutions in terms of coercivity, including a local maximum, was identified through the experimental sequences described in this case study. © 2011 Authors.

关键词： Design of experiments

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Accelerating the artificial bee colony algorithm by hardware parallel implementations

Accelerating the artificial bee colony algorithm by hardware...

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2012 IEEE 3rd Latin American Symposium on Circuits and systems, LASCAS 2012

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781467312080

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications. © 2012 IEEE.

关键词： Global optimization

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Solution of Jiles-Atherton vector hysteresis parameters estimation by modified Differential Evolution approaches

Solution of Jiles-Atherton vector hysteresis parameters esti...

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作者： Coelho, Leandro Dos Santos Mariani, Viviana Cocco Leite, Jean Vianei Industrial and Systems Engineering Graduate Program PPGEPS PUCPR Imaculada Conceião 1155 80215-901 Curitiba Parana Brazil Department of Mechanical Engineering Pontifical Catholic University of Parana PUCPR Imaculada Conceião 1155 80215-901 Curitiba Parana Brazil Department of Electrical Engineering GRUCAD UFSC Postal Box 476 88040-970 Florianopolis Santa Catarina Brazil

Differential Evolution (DE) is a simple and efficient stochastic global optimization algorithm of evolutionary computation field, which involves the evolution of a population of solutions using operators such as mutation, crossover, and selection. The basic idea of DE is to adapt the search during the evolutionary process. At the start of the evolution, the perturbations are large since parent populations are far away from each other. As the evolutionary process matures, the population converges to a small region and the perturbations adaptively become small. DE approaches have been successfully applied to solve a wide range of optimization problems. In this paper, the parameters set of the Jiles-Atherton vector hysteresis model is obtained with an approach based on modified Differential Evolution (MDE) approaches using generation-varying control parameters based on generation of random numbers with uniform distribution. Several evaluated MDE approaches perform better than the classical DE methods and a genetic algorithm approach in terms of the quality and stability of the final solutions in optimization of vector Jiles-Atherton vector hysteresis model from a workbench containing a rotational single sheet tester. © 2011 Elsevier Ltd. All rights reserved.

关键词： Hysteresis

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Accelerating the Artificial Bee Colony Algorithm by Hardware Parallel Implementations

Accelerating the Artificial Bee Colony Algorithm by Hardware...

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IEEE Latin American Symposium on Circuits and systems

作者： Daniel M. Mufioz Carlos H. Llanos Leandro dos S. Coelho Mauricio Ayala-Rincon Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Department of Computer Science and Mathematics University of Brasilia

ISBN: (纸本)9781467312073

关键词： Global optimization Swarm intelligence Artificial bee colony FPGAs Floating-point arithmetic

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A method for displacement measurement of femoral head and acetabulum based on tomography images

A method for displacement measurement of femoral head and ac...

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12th IASTED International Conference on Computer Graphics and Imaging, CGIM 2011

作者： Rudek, Marcelo Canciglieri Jr., Osiris Catani, Fábio Industrial and Systems Engineering Graduate Program - PPGEPS Pontifical Catholic University of Parana - PUCPR Imaculada Conceicao Street 1155 - Curitiba-Parana Brazil

ISBN: (纸本)9780889868656

This paper presents a method for visualization of displacement between the centre of the femoral head and acetabulum cavity centre. The measurement is performed in 3D tomography reconstructed images. The femoral head and acetabulum cavity can be represented by synthetic spheres and can be reconstructed based on the slice information of each bone of the joint. With the two spheres it is possible to measure the degree of the displacement between the centres. This representation gives support to the specialized doctors in their diagnostic of hip subluxation in children with cerebral paralysis, once that this problem causes pain because the acetabulum and femur disengagement. The proposal method is a compilation of some computational techniques of image handling such as bone segmentation using Hough Transform, chain code for reduction of the number of the points, Delaunay triangulation to perform a 3D reconstruction and OpenGL graphic library. A software prototype was constructed to validate the method proposed.

关键词： Tomography

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