Xin Liang1,2, Zuyan Zhang1, Jianping Gu3, Zhihui Wang1, Bart Vandenberghe4, Reinhilde Jacobs4, Jie Yang5, Guowu Ma2, Haibin Ling6, Xuchen Ma1. 1. 1 School and Hospital of Stomatology, Peking University, Beijing, China. 2. 2 School of Stomatology, Dalian Medical University, Dalian, Liaoning, China. 3. 3 Department of Engineering Physics, Tsinghua University, Beijing, China. 4. 4 Oral Imaging Center, Department of Oral Health Sciences, KU Leuven, Leuven, Belgium. 5. 5 Oral and Maxillofacial Radiology, School of Dentistry, Temple University, Philadelphia, PA, USA. 6. 6 Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA.
Abstract
OBJECTIVES: To evaluate the accuracy of CBCT in assessing trabecular structures. METHODS: Two human mandibles were scanned by micro-CT (Skyscan 1173 high-energy spiral scan micro-CT; Skyscan NV, Kontich, Belgium) and CBCT (3D Accuitomo 170; Morita, Japan). The CBCT images were reconstructed with 0.5 and 1 mm thicknesses. The condylar images were selected for registration. A parallel algorithm for histogram computation was introduced to perform the registration. A mutual information (MI) value was used to evaluate the match between the images obtained from micro-CT and CBCT. RESULTS: In comparison with the micro-CT image for the two samples, the CBCT image with 0.5 mm thickness has a MI value of 0.873 and 0.903 while that with 1.0 mm thickness has a MI value of 0.741 and 0.752. The CBCT images with 0.5 mm thickness were better matched with micro-CT images. CONCLUSIONS: CBCT shows comparable accuracy with high-resolution micro-CT in assessing trabecular structures. CBCT can be a feasible tool to evaluate osseous changes of jaw bones.
OBJECTIVES: To evaluate the accuracy of CBCT in assessing trabecular structures. METHODS: Two human mandibles were scanned by micro-CT (Skyscan 1173 high-energy spiral scan micro-CT; Skyscan NV, Kontich, Belgium) and CBCT (3D Accuitomo 170; Morita, Japan). The CBCT images were reconstructed with 0.5 and 1 mm thicknesses. The condylar images were selected for registration. A parallel algorithm for histogram computation was introduced to perform the registration. A mutual information (MI) value was used to evaluate the match between the images obtained from micro-CT and CBCT. RESULTS: In comparison with the micro-CT image for the two samples, the CBCT image with 0.5 mm thickness has a MI value of 0.873 and 0.903 while that with 1.0 mm thickness has a MI value of 0.741 and 0.752. The CBCT images with 0.5 mm thickness were better matched with micro-CT images. CONCLUSIONS: CBCT shows comparable accuracy with high-resolution micro-CT in assessing trabecular structures. CBCT can be a feasible tool to evaluate osseous changes of jaw bones.
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