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Introduction to advanced tomography · LearnSpace
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Introduction to advanced tomography

Курс от Technical University of Denmark (DTU)
Уровень не указан≈ 30.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.

Навыки, которые вы освоите

Image AnalysisMaterials science3D ModelingImage QualityJupyterMedical ImagingNumerical AnalysisMathematical ModelingDigital Signal ProcessingPython Programming

Программа курса

11 модулей · 131 учебных материалов

01Introduction to Advanced Tomography3 материалов

Getting started with the course

Introduction videoВидеоWelcome to Introduction to Advanced TomographyЧтениеExpectationsОбсуждение
02What is tomography and what can it do for me?10 материалов

Introduction to tomography

Учитесь у экспертов

Lars Pilgaard Mikkelsen

Associate Professor

Jens Wenzel Andreasen

Professor

Vedrana Andersen Dahl

Associate Professor

Jakob Sauer Jørgensen

Researcher

Henning Osholm Soerensen

Senior Researcher

Introduction to advanced tomography
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Обучение на Coursera

≈ 30.2 ч

11 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Дари, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
What is tomographyВидео
Use of tomographyЗадание
X-ray imagingВидео
X-ray based tomographyЗадание
Resolution and length scalesВидео

Applications of tomography

Applications of tomographyЧтениеDiscovering materials microstructure and function (Rajmund Mokso)ВидеоApplications of ... (Rajmund Mokso)ВидеоResolutionЗаданиеResolution, reflect upon what it isЗадание
03Introduction to Jupyter notebooks for data handling6 материалов

Handling data

Handling dataВидеоJupyter notesЗадание

Getting started with Jupyter notes and Python

Introduction to Jupyter notes (Nicolai Riis)ВидеоUsing Jupyter notes beyond this course (Nicolai Riis)ВидеоIntroduction to Jupyter notebooks and PythonЛабораторнаяPython primerЗадание
04Where is the data coming from?8 материалов

Large scale facilities and laboratory equipment

FacilitiesВидеоSynchrotron facilitiesЗаданиеTomography experimentsВидеоLarge scale facilities and lab experiementsЗадание

Facilities

Maxlab 4 (Henning Friis)ВидеоDTU Imaging Center (Henning Friis)ВидеоManchester Imaging Facility (Jakob Sauer Jørgensen)ВидеоSynchrotron versus lab-systemsЗадание
05Description of the cases studied throughout the course11 материалов

What do we want to achieve?

WorkflowВидеоPipelineЗадание

Composite case

Composite materials for wind turbinesВидеоFibers for wind turbinesЗадание

Chalk case

ChalkВидеоChalkЗадание

Quiz on workflow

WorkflowЗадание

Extra on composite case

Fiber case (Lars Pilgaard Mikkelsen)ВидеоSummary questions on the fiber caseЗаданиеSupplementary reading on the composite caseЧтение

Extra on chalk case

Chalk (Henning Osholm)Видео
06Tomographic reconstruction35 материалов

Reconstruction

Introduction to tomographyВидеоGetting started with tomographyЗаданиеUnderstanding the origin of the sinogramВидеоTomographic reconstructionЗаданиеBack-projection and filtered back-projectionВидеоFiltered back-projectionЗаданиеFourier reconstructionВидеоFourier reconstructionЗаданиеFiltered back projection, part 2ВидеоFiltered back-projection, part 2Задание

Algebraic reconstruction

Iterative reconstructionВидеоIterative reconstructionЗадание

Summary quiz

ReconstructionЗадание

Data formation and Filtered back-projection reconstruction

X-ray tomography (Manuel Guizar-Sicairos)ВидеоTomographic reconstruction (Jakob Sauer Jørgensen)ВидеоTomography basics (Jakob Sauer Jørgensen)ВидеоRadon transform (Jakob Sauer Jørgensen)ВидеоLambert-Beer and the Radon transformЗаданиеFiltered back projection (Jakob Sauer Jørgensen)Видео

Reconstruction of real data: Parallel-beam synchrotron, chalk case

Data corrections (Jakob Sauer Jørgensen)ВидеоRecon 2: Loading and preprocessing dataЛабораторнаяSoftware and summary (Jakob Sauer Jørgensen)ВидеоRecon 3: FBP reconstruction of chalk data (parallel beam)ЛабораторнаяFiltered back-projection and data correctionsЗаданиеMisc. reconstructionЗадание

Iterative and regularized reconstruction

Iterative reconstruction (Jakob Sauer Jørgensen)ВидеоRegularization (Jakob Sauer Jørgensen)ВидеоRecon 4: Iterative reconstruction methodsЛабораторнаяIterative and regularized reconstructionЗадание

Fan-beam and region-of-interest data

Recon 5: The fan-beam geometryЛабораторнаяRecon 6: Region-of-interest dataЛабораторная

Reconstruction of real-data: Cone-beam lab system, fiber case

Recon 7: Reconstruction of fiber data: bundles (large field of view)ЛабораторнаяRecon 8: Reconstruction of fiber data: fibres (small field of view)Лабораторная
07Imaging contrast4 материалов

Image modalities

Imaging contrastВидеоContrast mechanismЗаданиеAmplitude and phase contrastВидеоAmplitude and Phase contrastЗадание
08Segmentation20 материалов

Segmentation

Introduction to segmentationВидеоThresholding - Example 1ЗаданиеThreshold - SimplePLUGINThresholding - Example 2ЗаданиеThreshold - NoisePLUGINThresholding - Example 3ЗаданиеThreshold - JellyfishPLUGIN

Segmentation

Image and volume segmentation (Vedrana Andersen Dahl)ВидеоSegmentation - introductionЛабораторнаяImage and volume segmentationЗаданиеSegmentation strategies (Vedrana Andersen Dahl)ВидеоSegmentation - filteringЛабораторнаяSegmentation strategiesЗадание

Segmentation of circular geometries: Fibers case

Segmentation exercise - Fibers (Vedrana Andersen Dahl)ВидеоSegmentation - FibresЛабораторнаяSegmentation exercise - FibersЗадание

Segmentation of an arbitrary geometry: Chalk case

Segmentation exercise - Chalk (Vedrana Andersen Dahl)ВидеоSegmentation - Chalk processingЛабораторнаяSegmentation - Chalk segmentationЛабораторнаяSegmentation exercise - ChalkЗадание
09Computer resources2 материалов

Computational resources

Computer resourcesВидеоEfficient codeВидео
10Modelling physical parameters24 материалов

Simple modelling

Simple modellingВидео

Finite element modelling

Introduction to finite element modellingВидеоSimple example of finite element modellingВидео

Summary of the cases

Summary of the casesВидеоFinite element of a uni-axial tensile testЗадание

Quiz on the finite element modelling

Finite element modellingЗаданиеSuggestion of subjects for x-ray and FE-modellingОбсуждение

Using FEM for predicting the axial stiffness of a material

Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen)ВидеоEstimate of the transverse stiffness if a composite materialЗадание

Introduction to finite element simulation using Calfem for Python

Getting started with CALFEM for python (case 0)ВидеоCase0-Introduction notebookЛабораторнаяTensile test of a rectangular material box (Case 1)ВидеоCase1-MatrixBoxЛабораторнаяStiffness of the material box in the case of plane strainЗадание

Meshing and modeling of well-defined geometrical elements: Circular fiber case

One fiber in a matrix box (case 2)ВидеоCase2-OneFiberMatrixBoxЛабораторнаяStiffness of the one fiber in a matrix box in the case of refined meshЗаданиеMultiple fibers in a matrix box (Case 3)ВидеоCase3-MultiFibersMatrixBoxЛабораторнаяStiffness of the fiber composite materialЗадание

Meshing and modeling of an arbitrary geometrical structure: Bundle case

Bundle structure in a matrix box (case 4)ВидеоSegmentation - bundle meshingЛабораторнаяCase4-BundleMatrixBoxЛабораторная

Meshing and modeling of an arbitrary geometrical structure: Chalk case

Segmentation - Chalk meshingЛабораторная
11Closing session8 материалов

Presentation of the instructors

Lars Pilgaard MikkelsenЧтениеJakob Sauer JørgensenЧтениеVedrana Andersen DahlЧтениеJens Wenzel AndreasenЧтение

Work with the notebook on other cases

Installation instructionsЧтениеSegmentation notebooksЛабораторнаяModeling notebooksЛабораторнаяWant to learn more?Чтение
Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen)Видео
Recon 1: Basic data simulation and reconstruction by FBPЛабораторная