Olivia Nackaerts1, Maarten Depypere2, Guozhi Zhang3, Bart Vandenberghe4, Frederik Maes5, Reinhilde Jacobs1. 1. OMFS-IMPATH Research Group, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium. 2. Medical Image Computing, Center for Processing Speech and Images, Department of Electrical Engineering, KU Leuven, Leuven, Belgium. 3. Leuven University Centre for Medical Physics in Radiology, University Hospitals Leuven, Leuven, Belgium. 4. Department of Oral Health Sciences, KU Leuven, Leuven, Belgium. 5. Medical Image Computing, Center for Processing Speech and Images, Department of Electrical Engineering & iMinds, KU Leuven, Leuven, Belgium.
Abstract
BACKGROUND: The term bone quality is often used in a dentomaxillofacial context, for example in implant planning, as bone density and bone structure have been linked to primary implant success. PURPOSE: This research aimed to investigate the performance of adaptive thresholding of trabecular bone in cone beam CT (CBCT) images. The segmentation quality was assessed for different imaging devices and upper and lower jaws. MATERIALS AND METHODS: Four jaws were scanned with eight CBCT scanners and one micro-CT device. Images of the jaws were spatially aligned with the micro-CT images. Two volumes of interest for each jaw were manually delineated. Trabecular bone in the volumes of interest in the micro-CT images was segmented so that the micro-CT images could serve as high-resolution ground truth images. The volumes of interest in the CBCT images were segmented using both global and adaptive thresholding. RESULTS: Segmentation was significantly better for the lower jaw than for the upper jaw. Differences in performance between the scanners were significant for both jaws. Adaptive thresholding performed significantly better in segmenting the bone structure out of CBCT images. CONCLUSIONS: When assessing jaw bone structure, the observer should always choose adaptive thresholding. It remains a challenge to identify the optimal threshold selection for the structural assessment of jaw bone.
BACKGROUND: The term bone quality is often used in a dentomaxillofacial context, for example in implant planning, as bone density and bone structure have been linked to primary implant success. PURPOSE: This research aimed to investigate the performance of adaptive thresholding of trabecular bone in cone beam CT (CBCT) images. The segmentation quality was assessed for different imaging devices and upper and lower jaws. MATERIALS AND METHODS: Four jaws were scanned with eight CBCT scanners and one micro-CT device. Images of the jaws were spatially aligned with the micro-CT images. Two volumes of interest for each jaw were manually delineated. Trabecular bone in the volumes of interest in the micro-CT images was segmented so that the micro-CT images could serve as high-resolution ground truth images. The volumes of interest in the CBCT images were segmented using both global and adaptive thresholding. RESULTS: Segmentation was significantly better for the lower jaw than for the upper jaw. Differences in performance between the scanners were significant for both jaws. Adaptive thresholding performed significantly better in segmenting the bone structure out of CBCT images. CONCLUSIONS: When assessing jaw bone structure, the observer should always choose adaptive thresholding. It remains a challenge to identify the optimal threshold selection for the structural assessment of jaw bone.
Authors: Laura Ferreira Pinheiro Nicolielo; Jeroen Van Dessel; Eman Shaheen; Carolina Letelier; Marina Codari; Constantinus Politis; Ivo Lambrichts; Reinhilde Jacobs Journal: Int J Oral Sci Date: 2017-07-14 Impact factor: 6.344
Authors: Maureen van Eijnatten; Juha Koivisto; Kalle Karhu; Tymour Forouzanfar; Jan Wolff Journal: Int J Comput Assist Radiol Surg Date: 2016-10-07 Impact factor: 2.924