Already a subscriber? 
MADCAD.com Free Trial
Sign up for a 3 day free trial to explore the MADCAD.com interface, PLUS access the
2009 International Building Code to see how it all works.
If you like to setup a quick demo, let us know at support@madcad.com
or +1 800.798.9296 and we will be happy to schedule a webinar for you.
Security check
Please login to your personal account to use this feature.
Please login to your authorized staff account to use this feature.
Are you sure you want to empty the cart?
BS ISO/IEC 16466:2025 Information technology. 3D printing and scanning. Assessment methods of 3D scanned data use in 3D printing, 2025
- undefined
- Foreword
- Introduction
- 1 Scope
- 2 Normative references
- 3 Terms, definitions and abbreviated terms [Go to Page]
- 3.1 Terms and definitions
- 3.2 Abbreviated terms
- 4 Assessment [Go to Page]
- 4.1 General [Go to Page]
- 4.1.1 Background
- 4.1.2 Published standards and metrics of assessment
- 4.2 Types of errors in image segmentation of 3D scanned data [Go to Page]
- 4.2.1 General
- 4.2.2 Typical examples of each type of error
- 5 Approach to assessments [Go to Page]
- 5.1 General
- 5.2 Region of Intertest/Volume of Interest
- 5.3 Image enhancement and image normalization
- 5.4 Surface modelling and pre-processing (smoothing and averaging)
- 6 Assessment for segmentation of 2D images [Go to Page]
- 6.1 General
- 6.2 Workflow and product quality
- 6.3 Assessment methods for image-based modelling/segmentation phase [Go to Page]
- 6.3.1 Region-based measure/spatial overlap based metrics; Sensitivity, Specificity, False-positive rate, False negative rate FNR, F-Measure FMS, Dice similarity coefficient, Jaccard index
- 6.3.2 Volume-based measure; Volume similarity, Volume overlap error, Volume difference
- 6.3.3 Probabilistic Distances Between Segmentation/Cross-correlation matrix measure; Interclass correlation (ICC), AUC, Cohen kappa coefficient
- 6.3.4 Distance-based measure/Spatial distance-based metrics; Hausdorff distance (HD, Maximum Surface Distance), Mahalanobis distance
- 7 Assessment for 3D modelled images [Go to Page]
- 7.1 General
- 7.2 Surface Distance-based Measure: Hausdorff distance, Average distance, Mean Absolute Surface Distance, Mahalanobis distance
- 8 Choosing the most suitable metric for assessing image segmentation
- Annex A (informative) Preparation of Dataset for Assessment for image based modelling
- Annex B (informative) Assessment for image based modelling of Craniofacial 3D images
- Annex C (informative) Assessment for Orbital Segmentation
- Annex D (informative) Tools to evaluate the quality of image segmentation
- Bibliography [Go to Page]
