Digital Fabrication of Patient Specific 3D-Printed Medical Models

dc.contributor.authorKontodina, Theodoraen
dc.date.accessioned2018-04-28T13:32:30Z
dc.date.available2018-04-29T00:00:19Z
dc.date.issued2018-04-28
dc.identifier.urihttps://repository.ihu.edu.gr//xmlui/handle/11544/29057
dc.rightsDefault License
dc.subjectDICOMen
dc.subjectCTen
dc.subjectSTLen
dc.subject3D-Printingen
dc.subjectFDMen
dc.subject3D-Scanningen
dc.subjectmedical modelsen
dc.subjectT4 vertebraen
dc.subjectthoracic spineen
dc.titleDigital Fabrication of Patient Specific 3D-Printed Medical Modelsen
heal.abstractAdditive Manufacturing (AM) technology is currently being promoted as the spark of a new industrial revolution. The integration of 3D-printing technologies is gaining momentum into numerous emerging markets, including the medical industry. Particularly, AM technology enables the fabrication of physical parts by using initial data from medical images, such as Digital Imaging Communications in Medicine (DICOM) images. These parts can be used as customized implants or medical models, which precisely represent the patient’s anatomy. The production of these models has the promising potential to affect the preoperative planning, education, and surgical simulation process, leading to various benefits regarding the surgical outcome. The aim of the current study is to investigate the integration of AM technology in the fabrication of patient customized medical model from scanned anatomical images, acquired from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). In specific, after conducting a thorough literature review, the basic scope of this study is to demonstrate the process of the T4 vertebra (thoracic spine) production, by presenting the design, the manufacture, and the evaluation stage. With regard to the first stage, it is crucial to indicate the most appropriate open-source software program for the conversion of DICOM files to Standard Triangle Language (STL) files. After acquiring and optimizing the required medical data to the desired file format, the anatomical model is printed via Fused Deposition Modeling (FDM). Finally, the 3D-printed model is scanned via 3D-scanner and saved in STL file format, in order to measure and evaluate the results, regarding the dimensional declinations between the printed and the scanned model.en
heal.academicPublisherIHUen
heal.academicPublisherIDihuen_US
heal.accessfreeen_US
heal.advisorNameTzetzis, Dimitriosel
heal.bibliographicCitationKontodina Theodora, Digital Fabrication of Patient Specific 3D-Printed Medical Models, School of Economics, Business Administration & Legal Studies, MSc in Strategic Product Design, International Hellenic University, 2018en
heal.classificationAdditive Manufacturingen
heal.classificationReverse Engineeringen
heal.committeeMemberNameTzetzis, Dimitriosen
heal.contributorID.emailzolikontodina@gmail.com
heal.creatorID.emailzolikontodina@gmail.com
heal.generalDescriptionDissertation thesis submitted for the degree of Master of Science (MSc) in Strategic Product Designen
heal.keywordURI.LCSHThree-dimensional printing
heal.keywordURI.LCSHManufacturing processes--Automation
heal.keywordURI.LCSHEngineering design
heal.keywordURI.LCSHMedical instruments and apparatus--Design and construction--Case studies
heal.keywordURI.LCSHmed
heal.languageenen_US
heal.licensehttp://creativecommons.org/licenses/by-nc/4.0en_US
heal.numberOfPages210en_US
heal.publicationDate2018-04-28
heal.recordProviderSchool of Economics, Business Administration and Legal Studies, MSc in Strategic Product Designen_US
heal.tableOfContentsABSTRACT ACKNOWLEDGEMENTS TABLE OF CONTENTS TABLE OF ILLUSTRATIONS LIST OF FIGURES LIST OF TABLES LIST OF GRAPHS LIST OF CHARTS 1. CHAPTER ONE: PROJECT OVERVIEW 1.1. INTRODUCTION 1.2. PROJECT AIM 1.3. PROJECT STAGES 1.4. STRUCTURE OF THESIS 2. CHAPTER TWO: LITERATURE REVIEW 2.1. INTRODUCTION 2.2. ADDITIVE MANUFACTURING METHODS 2.2.1. Sterolithography (SLA) 2.2.2. Selective Laser Sintering (SLS) 2.2.3. Fused Deposition Modeling (FDM) 2.2.4. Multi-Jet Modeling (MJM) 2.3. ADDITIVE MANUFACTURING – RAPID PROTOTYPING IN MEDICAL FIELD 2.4. RESEARCH STATUS OF APPLICATIONS OF ADDITIVE MANUFACTURING IN MEDICAL FIELD 2.5. APPLICATIONS OF ADDITIVE MANUFACTURING IN MEDICAL FIELD 2.5.1. Biomedical modelling 2.5.2. Fabrication of customized implants 2.5.3. Fabrication of porous implants (scaffolds) and tissue engineering 2.5.4. Design and development of devices and instrumentation used in medical sector 2.5.5. Surgical planning 2.5.6. Medical education and training 2.5.7. Forensics 2.5.8. Drug delivery and micro-scale medical devices 2.6. ADDITIVE MANUFACTURING CRITERIA FOR MEDICAL MODELS 2.7. PROCESS OF MEDICAL MODEL FABRICATION 2.8. MEDICAL IMAGING 2.8.1. Computed Tomography (CT) 2.8.2. Magnetic Resonance Imaging (MRI) 2.8.3. Ultrasonography 2.8.4. Digital Imaging and Communications in Medicine (DICOM) 2.8.4.1. Software Programs for the Convertion of DICOM Files 2.9. MANIPULATION OF 3D-MODELS 2.10. SUMMARY OF LITERATURE REVIEW 3. CHAPTER THREE: METHODOLOGY 3.1. INTRODUCTION 3.2. METHODOLOGY 4. CHAPTER FOUR: DATA ANALYSIS 4.1. INTRODUCTION 4.2. DESCRIPTION OF SOFTWARE PROGRAMS 4.2.1. SEG3D SOFTWARE INTRODUCTION TO SEG3D SOFTWARE BASIC PROGRAM FUNCTIONS Welcome Screen Starting a New Project Importing Layer from Single File Interface of Seg3D Windows of Seg3D Saving a Project Exporting Data 4.2.2. IMAGEVIS3D SOFTWARE INTRODUCTION TO IMAGEVIS3D SOFTWARE BASIC PROGRAM FUNCTIONS Welcome Screen Loading Dataset from a File Importing Data from a Single File (or from a Stack of Files) Exporting Data 4.2.3. 3DSLICER SOFTWARE INTRODUCTION TO 3DSLICER SOFTWARE BASIC PROGRAM FUNCTIONS Welcome Screen Loading Data Crop and Volume Rendering Creating Label Model Building a Model 4.2.4. ITK-SNAP SOFTWARE INTRODUCTION TO ITK-SNAP SOFTWARE BASIC PROGRAM FUNCTIONS Welcome Screen Loading Data Interface of ITK-SNAP Viewer Panels ITK-SNAP Toolbox Segmentation ➢ Automatic Segmentation Exporting Data ➢ Manual Segmentation Saving Segmention Image 5. CHAPTER FIVE: CASE STUDY OF T4 VERTEBRA OF THORACIC SPINE 5.1. INTRODUCTION 5.2. SYSTEMATIC APPROACH 5.3. DESIGN STAGE 5.3.1. Step 1: Acquisition of DICOM Files 5.3.1.1. Obtain DICOM Files via CT 5.3.2. Step 2: Conversion of DICOM Files to STL File Format 5.3.2.1. Import DICOM Files in ITK-SNAP 5.3.2.2. Edit DICOM Files via ITK-SNAP 5.3.2.3. Export Data to STL File Format 5.3.3. Step 3: Optimization of STL File 5.3.3.1. Import STL File in Meshmixer 5.3.3.2. Edit STL File via Meshmixer 5.3.3.3. Export Data to STL File Format 5.3.4. Step 4: Aquisition of Final STL File Ready for RP Machine 5.4. MANUFACTURE STAGE 5.4.1. Step 1: Creation of RP Model 5.4.2. Step 2: Printing of Medical Model via 3D-Printing Technology 5.5. EVALUATION STAGE 5.5.1. Step 1: Scanning of the 3D-Printed Model via 3D-Scanner 5.5.1.1. Scanning of the 3D-Printed Medical Model via Next Engine ➢ Capture A ➢ Capture B ➢ Capture C ➢ Capture D ➢ Trimming of Capture C ➢ Trimming of Capture D ➢ Alignment of Captures C & D ➢ Trimming of Capture A ➢ Alignment of Capture C, D & A ➢ Capture E ➢ Capture F ➢ Trimming of Capture E ➢ Trimming of Capture F ➢ Alignment of Captures C, D & E ➢ Alignment of Captures C, D, E & F ➢ Capture G ➢ Alignment of Captures C, D, E, F & G ➢ Trimming of Capture G after Alignment ➢ Fusion of Capture G ➢ Buffing of Model on Specific Points ➢ Buffing of the Entire Model ➢ Final 3D-Scanned Model 5.5.1.2. Exporting Data to STL File Format 5.5.2. Step 2: Measurement of the Dimensions of the STL Files 5.5.2.1. Linear Measurement of the Printed STL Model 5.5.2.2. Linear Measurement of the Scanned STL Model 5.5.2.3. Surface Distance Maps of the Printed and the Scanned Model 5.5.3. Step 3: Comparison and Evaluation of the Results 5.5.3.1. Results of Linear Measurements: Case #1 5.5.3.2. Results of Linear Measurements: Case #2 5.5.3.3. Results of Surface Distance Maps 6. CHAPTER SIX: DISCUSSION & INTERPRETATION OF FINDINGS 7. CHAPTER SEVEN: CONCLUSIONS, RECOMMENDATIONS 7.1. CONCLUSIONS 7.2. LIMITATIONS 7.3. RECOMMENDATIONS & FURTHER INVESTIGATION LIST OF REFERENCES ARTICLES & PAPERS DISSERTATIONS BOOKS WEBSITESen
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