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3D Virtual Histology of Trabecular and Cortical Architecture in Living Human Vertebrae
Author(s) -
TANIOKA HISAYA,
KAGA KIMITAKA
Publication year - 2016
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.30.1_supplement.1014.8
Subject(s) - vertebra , volume rendering , biomedical engineering , trabecular bone , anatomy , visualization , materials science , computer science , medicine , artificial intelligence , osteoporosis , pathology
Purpose Toprovide a non‐large‐scaled device but a small‐sized device. Less‐expensive and simple device that can be utilized for making 3D trabecular and cortical structure of living human vertebrae, and to learn about the bone strength from trabecular structure obtained by this created method. Subjects and Methods This study involved 15 patients who underwent body CT exams for their diagnosis. Scanning of the body was performed using collimation and pitch values of 1.00 mm and 1.00 respectively with bone algorithm. The field of view was 25.0 cm using a 512 matrix. After transferring the image data to a CT work station, 3D visualization based on interactive direct volume rendering was made using the current distributed software. The defined threshold CT values of this image processing were following; maximum value is 450 HU and minimum value is 100 HU. Results 3D virtual histological image of the vertebra was shown in Figure. Morphometric parameters as trabecular number (Tb.N.), trabecular separation (Tb.Sp.), and trabecular thickness (Tb.Th.) were frequently used and their measured values were as followed; TbN=1.00 ± 0.10, TbSp=0.57 ± 0.07 mm, and TbTh=0.45 ± 0.03mm. These values showed significant correlations with the properties of the vertebral bone in the multiple studies. Conclusion This 3D virtual histological method is very simple. We can get topology and morphological parameters of living vertebrae under regular CT exams. The data of morphometric parameters suggest that this method has potential to characterize the structured implications of metabolic bone. Support or Funding Information Competing interests: none Sponsorship: none Funding source: none