PLM Industry Summary Jillian Hayes, Editor Vol
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Download the PLM Industry Summary
PLM Industry Summary Jillian Hayes, Editor Vol. 14 No 35 Friday 31 August 2012 Contents CIMdata News _____________________________________________________________________ 2 CIMdata PLM Late-Breaking News Announcement ____________________________________________2 CIMdata Publishes “CAD Selection Considerations: Product Assemblies” __________________________3 Ford IT Executive, Mark Johnson, to Join the Keynote Line-up at CIMdata’s PLM Road Map™ 2012 _____4 Acquisitions _______________________________________________________________________ 6 Autodesk Continues Strategic Investment in Product Lifecycle Management with Acquisition of Inforbix __6 Company News _____________________________________________________________________ 7 Advanced Technologies Solutions Earns Simulation and Structural Engineering Specializations _________7 Autodesk Now Counts 20 Partners with Platinum Status _________________________________________7 Edgecam Helps Nuclear Manufacturers ______________________________________________________8 GRAITEC is Partnering with DMS Software Co Ltd in China ____________________________________9 Hagerman & Company Announces new President, CEO ________________________________________10 MecSoft Announces New Reseller in India __________________________________________________11 Tata Technologies Earns Autodesk simulation Specialization and Autodesk PLM 360 Specialization Certifications __________________________________________________________________________12 Events News ______________________________________________________________________ -
Simpleware Scanip Medical Software Solutions for Clinical Applications
Simpleware ScanIP Medical Software Solutions for Clinical Applications FDA 510(k) cleared CE marked ISO 13485:2016 certified Software Solutions for Clinical Applications Patient-Specific Surgical Planning Patient-Specific Design Improve Informed Decision- Accelerate New Product Making Development • Generate models from 3D image data to visualize • Import, position and integrate CAD devices into patient treatment options image data • Landmark and perform measurements on anatomical • Reverse engineer and analyse patient-specific data to assess surgical strategies device designs • Export models for simulating clinical procedures • Generate simulation-ready models for evaluating device performance In Silico Clinical Trials R&D for Medical Devices Increase Confidence in Your Harness the Freedom to Solution Experiment • Explore post-op outcomes or implant positioning or • Generate accurate models for 3D printing, simulation or device performance CAD design • Fast and accurate image processing environment for • Speed up iterative device designs with rapid image-to- creating computational models model workflows • Streamline repeatable workflows with scripting, • Use image-based tools to reduce dependence on automation, or customization physical testing 3D Image Data Processing for Pre-Clinical Applications with Simpleware ScanIP Medical Intuitive and Powerful Software Tackle Clinical Imaging Challenges with Confidence When working in a clinical setting, Simpleware ScanIP Medical is the ideal choice for those working with 3D imaging to create medical -
Simpleware LTD. Ə Dr. Gareth James Marketing and PR Officer Bradninch
DEPARTMENT OF HEALTH & HUMAN SERVICES Public Health Service __________________________________________________________________________________________________________________________ Food and Drug Administration 10903 New Hampshire Avenue Document Control Center – WO66-G609 Silver Spring, MD 20993-0002 Simpleware LTD. April 17, 2015 Ə Dr. Gareth James Marketing and PR Officer Bradninch Hall Castle Street EXETER, GB EX43PL DEVON Re: K142779 Trade/Device Name: ScanIP; ScanIP: Medical Edition; ScanIP: Med Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving and Communications System Regulatory Class: II Product Code: LLZ Dated: March 19, 2015 Received: March 25, 2015 Dear Dr. James: We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading. If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. -
Hands-On Engineering Courses in the COVID-19 Pandemic: Adapting Medical Device Design for Remote Learning
Physical and Engineering Sciences in Medicine https://doi.org/10.1007/s13246-020-00967-z SCIENTIFIC PAPER Hands-on engineering courses in the COVID-19 pandemic: adapting medical device design for remote learning Yanning Liu1 · Aishwarya Vijay2 · Steven M. Tommasini1,3 · Daniel Wiznia3,4,5 Received: 1 September 2020 / Accepted: 18 December 2020 © Australasian College of Physical Scientists and Engineers in Medicine 2021 Abstract The COVID-19 pandemic has challenged the status quo of engineering education, especially in highly interactive, hands-on design classes. Here, we present an example of how we efectively adjusted an intensive hands-on, group project-based engi- neering course, Medical Device Design & Innovation, to a remote learning curriculum. We frst describe the modifcations we made. Drawing from student pre and post feedback surveys and our observations, we conclude that our adaptations were overall successful. Our experience may guide educators who are transitioning their engineering design courses to remote learning. Keywords COVID-19 · Engineering education · Remote learning · STEM · Product design · Medical device design Introduction how we efectively adjusted an intensive hands-on, group project-based engineering course, Medical Device Design The COVID-19 pandemic has challenged the status quo and Innovation.[4]. of engineering education, especially in highly interactive, Medical Device Design and Innovation is a project hands-on design classes.[1, 2] Traditionally, these classes focused course ofered to all Yale University -
Izrada Strategije Za Obradu Glodanjem Na Cnc Strojevima Design of Milling Tool Cutting Strategy for Cnc Manufacturing Operations
Eng. Rev. 28-1 (2008) 93-97 93 ____________________________________________________________________________________________________________________________________________________ UDC 621.9-52:621.914:004.89 IZRADA STRATEGIJE ZA OBRADU GLODANJEM NA CNC STROJEVIMA DESIGN OF MILLING TOOL CUTTING STRATEGY FOR CNC MANUFACTURING OPERATIONS Jozef NOVÁK-MARCINČIN Sažetak: Da bi se postiglo kraće vrijeme obrade i bolja kvaliteta površine, proizvodni inženjer mora primijeniti optimizaciju digitalno kontrolirane proizvodnje strojeva za glodanje kao i koncept točnog dizajna – strategiju gibanja alata za glodanje. Zbog mogućnosti izvođenja velikog broja različitih vrsta površina na različitim proizvodnim strojevima, a korištenjem različitih tehnoloških parametara, teško je izabrati optimalan i učinkovit koncept gibanja alata za glodanje. Novi moderan pristup rješavanju tih problema za sobom povlači primjenu ekspertnog sustava i sustava temeljenog na znanju, kao i klasičnog softvera namijenjenog izradi kontrolnog NC programa. Ključne riječi: – strategija obrade glodalom – NC programiranje Summary: In order to obtain better cutting time and better quality of parts surfaces, it is necessary for the manufacturing engineer to implement optimal digitally controlled milling manufacturing machines as well as an accurate design concept—a strategy for milling tool motion. On the grounds of the possibility for realizing a wide array of different type surfaces on different manufacturing devices, and through the exploitation of various technological parameters, it is difficult to choose an optimal and efficient concept for milling tool motion. The new and modern approach to solving these problems constitutes the application of expert and knowledge systems in collaboration with classical software intended for creation by control NC programs. Keywords: – milling tool cutting strategy – NC programming 1. INTRODUCTION A third benefit offered by most forms of CNC machine tools is flexibility. -
Sergey Makarov
Sergey Makarov · Marc Horner Gregory Noetscher Editors Brain and Human Body Modeling Computational Human Modeling at EMBC 2018 Brain and Human Body Modeling Sergey Makarov • Marc Horner Gregory Noetscher Editors Brain and Human Body Modeling Computational Human Modeling at EMBC 2018 Editors Sergey Makarov Marc Horner Massachusetts General Hospital ANSYS, Inc. Boston, MA, USA Evanston, IL, USA Worcester Polytechnic Institute Worcester, MA, USA Gregory Noetscher Worcester Polytechnic Institute Worcester, MA, USA This book is an open access publication. ISBN 978-3-030-21292-6 ISBN 978-3-030-21293-3 (eBook) https://doi.org/10.1007/978-3-030-21293-3 © The Editor(s) (if applicable) and The Author(s) 2019 Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. -
Simpleware Software Solutions for Life Sciences from 3D Images to Models Applications in Life Sciences
Simpleware Software Solutions for Life Sciences From 3D Images to Models Applications in Life Sciences Orthopedics Product Design & Analysis Cardio & Respiratory Systems Accurate Anatomical Consumer Products Physiological Flow Models and Wearables Analysis • Automated and semi-automated • Customize product designs to • Reslice images along vessels tools to segment anatomies individual anatomies and airways • Combine CAD implants and • Virtually check the fit and • Combine anatomical data with anatomical data function for devices including stent models • Accurately quantify bone electronic wearables • Mesh boundary layers and add geometries • Export models to simulate real- custom inlets and outlets for • Export multi-part FE/CFD world performance fluid flow analysis meshes to solvers • Gain better insight for future • Quantify vessels with centerline products by analyzing network tools real anatomies EM & Neuromodulation Medical Device R&D Anatomical 3D Printing Human Body Models Device and Image High-Quality STL for Simulation Integration Production • Use automated and/or semi- • Rapidly integrate CAD devices into • Print medical devices and automated segmentation tools CT/MRI scans anatomical parts from scans • Integrate CAD designs like MRI • Research human/device • Generate robust STL files ready coils or electrodes with image data interactions for 3D printing • Easy-to-use registration tools for • Automate repeatable operations • Conforming interfaces for multi- positioning devices with scripting material printing • Generate and export -
An Open-Source, Fully-Automated, Realistic Volumetric-Approach-Based Simulator for TES*
ROAST: an open-source, fully-automated, Realistic vOlumetric-Approach-based Simulator for TES* Yu Huang1;2, Abhishek Datta2, Marom Bikson1 and Lucas C. Parra1 Abstract— Research in the area of transcranial electrical Providence, RI), COMSOL Multiphysics (COMSOL Inc., stimulation (TES) often relies on computational models of cur- Burlington, MA)). rent flow in the brain. Models are built on magnetic resonance Given this great variety and complexity, there is a need images (MRI) of the human head to capture detailed individual anatomy. To simulate current flow, MRIs have to be segmented, to automate these tools into a complete processing pipeline. virtual electrodes have to be placed on the scalp, the volume is Existing pipelines are either not fully automated (e.g. NFT tessellated into a mesh, and the finite element model is solved [11]) or difficult to use (e.g. SciRun [12]). Notable in numerically to estimate the current flow. Various software tools terms of ease of use (if not of installation) is SimNIBS are available for each step, as well as processing pipelines [13], which integrates FreeSurfer, FSL, Gmsh and getDP to that connect these tools for automated or semi-automated processing. The goal of the present tool – ROAST – is to provide provide a complete end-to-end solution, based on the surface an end-to-end pipeline that can automatically process individual segmentation of the head. In the TES modeling literature, heads with realistic volumetric anatomy leveraging open-source however, FEM based on volumetric segmentation is preferred software (SPM8, iso2mesh and getDP) and custom scripts over boundary element method (BEM) that is more common to improve segmentation and execute electrode placement. -
From CT Scan to Plantar Pressure Map Distribution of a 3D Anatomic Human Foot
Excerpt from the Proceedings of the COMSOL Conference 2010 Paris From CT Scan to Plantar Pressure Map Distribution of a 3D Anatomic Human Foot P. Franciosa, S. Gerbino* University of Molise, School of Engineering *Corresponding author: Via Duca degli Abruzzi - 86039 Termoli (CB) – Italy [email protected] Abstract: Understanding the stress-strain behav- methods, based on FE modeling, have also been ior of human foot tissues and pressure map dis- adopted. FE models of human foot have been tributions at the plantar interface is of interest developed under certain simplifications and as- into biomechanical investigations. In particular, sumptions (see [7] and [8]) such as: (i) simplified monitoring plantar pressure maps is crucial to or partial foot shape, (ii) assumptions of non- establishing the perceived human comfort of linear hyper-elastic material law, (iii) ligaments shoe insoles. and plantar fascia modeled as equivalent forces In this contest, a 3D anatomical detailed FE hu- or elastic beams/bars, (iiii) no friction or thermal man foot model was created, starting from CT effect, at plantar foot interface, accounted. (Computer Tomography) scans of a 29 years old Based on these assumptions, valuable 3D FE male. Anatomical domains related to bones and models were presented in the literature [9], [10]. soft tissues were generated, using segmentation In this contest, the geometrical complexity of techniques, and then processed into a CAD envi- foot structure was captured through reverse en- ronment to model 3D domains by using gineering methodologies, based on CT (Com- loft/sweep and boolean operations. Finally, FE puter Tomography) or MR (Magnetic Reso- model was generated into Comsol Multiphys- nance) scans. -
Synopsys (Northern Europe) Ltd
Synopsys (Northern Europe) Ltd. April 1, 2021 ℅ Ms. Jessica James Business Process Analyst Bradninch Hall, Castle Street Exeter, Devon EX4 3PL UNITED KINGDOM Re: K203195 Trade/Device Name: Simpleware ScanIP Medical Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: October 26, 2020 Received: October 28, 2020 Dear Ms. James: We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading. -
Cimdata Cpdm Late-Breaking News
PLM Industry Summary Christine Bennett, Editor Vol. 13 No.16 Friday 22 April 2011 Contents CIMdata News _____________________________________________________________________ 2 The Power of Partnership: A New White Paper from CIMdata ___________________________________2 Company News _____________________________________________________________________ 3 Altium Continues to Expand its Reseller Network in the Baltics ___________________________________3 AESSiS Joins the ShapeSpace Reseller Team _________________________________________________4 Autodesk Adds Platinum Tier and Enhances Channel Partner Program _____________________________4 DS SolidWorks Corp. Announces Global Green Design Contest Honoring Earth Day __________________5 HP Appoints Veteran Marketing Professional Marty Homlish as Chief Marketing Officer ______________6 Humans and Computers Compete in Marker Making Contest _____________________________________7 MSC Software Launches Registered Consultant Program to Deliver Simulation Best Practices to Customers _____________________________________________________________________________________7 New Mastercam Software Development Center Opened in Switzerland _____________________________8 Siemens Helps Universities Develop Next Generation of Vietnamese Engineers with US$71 Million In-Kind Software Grant to the Higher Engineering Education Alliance Program _____________________________9 solidThinking Expands its Global Presence by Adding U.K.-Based Cadsoft Solutions as a Distributor ____10 Xavier Falcons from Middletown, CT Win