Combined manual and automatic landmark detection for enhanced surface registration of anatomical structures: an extensive parameter study for femur and clavicle
| Autor: | Ilse Jonkers, Yannick Carette, Joost Duflou, Hans Vanhove, Sanne Vancleef, Jos Vander Sloten |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Surface (mathematics)
Landmark business.industry Computer science Anatomical structures Biomedical Engineering Computational Mechanics 02 engineering and technology 030218 nuclear medicine & medical imaging Computer Science Applications Contact force 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Clavicle 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Radiology Nuclear Medicine and imaging Femur Computer vision Artificial intelligence business |
| Zdroj: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 8:94-102 |
| ISSN: | 2168-1171 2168-1163 |
| Popis: | © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Surface registration, in which a mapping between surfaces is calculated, is a powerful tool to create patient-specific musculoskeletal and statistical shape models. However, to create these models, surface registration must assure a one-to-one correspondence between both surfaces. To enhance this process, a surface registration framework that uses a combination of manual and automatic landmark detection is presented in this study. In addition, an extensive parameter study of the framework for a femur and a clavicle is conducted. The average correspondence quality of nine femur landmarks decreased from 15.6 mm using automatic point detection to 6.1 mm by combining manually and automatically indicated landmarks. For the clavicle, the average distance of five landmarks decreased from 2.8 to 0.9 mm. Combining manual and automatic landmark detection clearly improved correspondence quality. Results confirmed the applicability of the proposed registration framework for femur and clavicle, although with different parameter settings. ispartof: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization vol:8 issue:1 pages:94-102 status: published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|