BSI PD CEN ISO/ASTM/TR 52916:2022
$167.15
Additive manufacturing for medical. Data. Optimized medical imagedata
Published By | Publication Date | Number of Pages |
BSI | 2022 | 34 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | undefined |
7 | Foreword |
8 | Introduction |
9 | 1 Scope 2 Normative references 3 Terms and definitions |
11 | 4 Medical images generation for AM 4.1 General medical image data generation 4.2 General error occurrence steps in medical images generation |
12 | 4.3 Medical image extraction 4.3.1 Introduction of medical image extraction 4.3.2 CT image error generation factors |
13 | 4.3.3 MRI Image error generation factors |
14 | 5 Image segmentation 5.1 Introduction of segmentation 5.2 Segmentation techniques 5.2.1 Thresholding algorithm 5.2.2 Region growing algorithm |
15 | 5.2.3 Morphological image algorithm 5.2.4 Level-set algorithm 5.2.5 Other partial segmentation algorithm 6 Reconstruction 6.1 Introduction of reconstruction 6.2 Reconstruction process |
16 | 7 Smoothing 7.1 Marching cubes 7.2 Mesh smoothing 8 3D visualization method 8.1 Surface rendering 8.1.1 Introduction of surface shaded rendering |
17 | 8.1.2 Surface shaded rendering feature 8.2 Volume rendering 8.2.1 Introduction of volume rendering 8.2.2 Volume rendering feature 8.2.3 Ray casting techniques 8.2.4 3D texture mapping techniques |
18 | 9 Additional processing for additive manufacturing 10 Methods 10.1 Image isotropic conversion |
19 | 10.2 Image enhancement |
20 | 10.3 Image segmentation |
22 | 11 Minimizing error of software and equipment 11.1 Introduction of software and equipment error 11.2 Software error 11.2.1 Background 11.2.2 Verification method using main inflection 11.2.3 Improving accuracy and precision |
23 | 11.3 Equipment error 11.3.1 Background 11.3.2 Standard computational mesh model data creation for an evaluation method 11.4 Tolerance error situations |
24 | Annex A (informative) Medical CAD for additive manufacturing tolerance |
32 | Bibliography |