A new algorithm to improve assessment of cortical bone geometry in pQCT |
| |
| Affiliation: | 1. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 3, 33720 Tampere, Finland;2. Institute of Bioscience and Medical Technology (BioMediTech), Tampere, Finland;3. Bone Research Group, UKK Institute, Kaupinpuistonkatu 1, 33500 Tampere, Finland;4. Department of Health and Rehabilitation Sciences, Western University, London, Canada;5. Centre of Excellence in Skeletal Health Assessment, University of Toronto, Toronto, Canada;6. Department of Kinesiology, University of Waterloo, Waterloo, Canada;1. EA Martin Program, South Dakota State University, Brookings, SD 57007, USA;2. College of Nursing, South Dakota State University, Brookings, SD 57007, USA;1. Department of Oral & Maxillofacial Surgery, School of Dentistry, The University of Alabama at Birmingham, Birmingham, AL, USA;2. Department of Biochemistry and University of Vermont Cancer Center, University of Vermont College of Medicine, Burlington, VT, USA;1. Department of Biochemistry, University of Vermont, Burlington, VT, USA;2. Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA;1. Center for Biomedical Research and FONDAP Center for Genome Regulation, Faculty of Biological Sciences and Faculty of Medicine, Universidad Andres Bello, Avenida Republica 239, Santiago, Chile;2. Department of Biochemistry and Vermont Cancer Center, University of Vermont College of Medicine, 89 Beaumont Avenue, Burlington, VT, USA;1. Human Health and Performance Directorate, NASA Lyndon B. Johnson Space Center, Houston, TX, USA;2. Department of Nutrition and Food Science, Nutritional Physiology, University of Bonn, Germany;3. Beth Israel Deaconess Medical Center and Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA;4. Wyle Science Technology and Engineering Group, Houston, TX, USA;5. JES Tech, Houston, TX, USA;6. Division of Space Life Sciences, Universities Space Research Association, Houston, TX, USA;1. Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Address-55 Fruit Street Bulfinch 165, Boston, MA 02114, United States;2. Center for Sarcoma and Connective Tissue Oncology, Massachusetts General Hospital Cancer Center, Address-55 Fruit Street, Yawkey 2, Boston, MA 02114, United States |
| |
| Abstract: | High-resolution peripheral quantitative computed tomography (HR-pQCT) is now considered the leading imaging modality in bone research. However, access to HR-pQCT is limited and image acquisition is mainly constrained only for the distal third of appendicular bones. Hence, the conventional pQCT is still commonly used despite inaccurate threshold-based segmentation of cortical bone that can compromise the assessment of whole bone strength. Therefore, this study addressed whether the use of an advanced image processing algorithm, called OBS, can enhance the cortical bone analysis in pQCT images and provide similar information to HR-pQCT when the same volumes of interest are analyzed. Using pQCT images of European Forearm Phantom (EFP), and pQCT and HR-pQCT images of the distal tibia from 15 cadavers, we compared the results from the OBS algorithm with those obtained from common pQCT analyses, HR-pQCT manual analysis (considered as a gold standard) and common HR-pQCT analysis dual threshold technique. We found that the use of OBS segmentation method for pQCT image analysis of EFP data did not result in any improvement but reached similar performance in cortical bone delineation as did HR-pQCT image analyses. The assessments of cortical cross-sectional bone area and thickness by OBS algorithm were overestimated by less than 4% while area moments of inertia were overestimated by ~ 5–10%, depending on reference HR-pQCT analysis method. In conclusion, this study showed that the OBS algorithm performed reasonably well and it offers a promising practical tool to enhance the assessment of cortical bone geometry in pQCT. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
