St. Joseph Dental College, Eluru, India -
St. Joseph Dental College, Eluru, India.
Minerva Dent Oral Sci. 2021 Aug;70(4):142-146. doi: 10.23736/S2724-6329.20.04347-2. Epub 2020 Aug 3.
Advent of cone beam computed tomography (CBCT) in dentistry has brought us to a new era of precise imaging. Radiographic evaluation of a CBCT image is more informational when compared to CT. The density measurements in CBCT images are based on greyscale values, which are more accurate in CT and these values are inconsistent across various CBCT machines. Hence, we aim at standardizing a single CBCT scanner to evaluate or determine tissue density from the greyscale values.
A total of 8 halves of undamaged, dry goat mandibles are included in the study. Scans of the bone are obtained using the KODAK CBCT unit and the PHILLIPS CT machine respectively. Densities are evaluated at 96 points on both the CT scans and the CBCT scans, respectively, using the Radiant Dicom viewer. The obtained data is entered into the excel spreadsheet and subjected to statistical analysis.
The greyscale values are obtained from each of the CBCT scans. Hounsfield units are calculated from CT images coinciding with the same points on CBCT scans. The collected data is subjected to linear regression analysis and an equation is derived to determine Hounsfield units (calculated HU units) from greyscale values of CBCT images. We found no significant difference between the mean original HU units and the mean calculated HU units, thus making the equation reliable for calculating HU units from CBCT greyscale values.
Our results conclude that the technique was effective in calculating the Original density of tissues using grey standards of CBCT scans.
锥形束计算机断层扫描(CBCT)在牙科中的出现使我们进入了精确成像的新时代。与 CT 相比,CBCT 图像的放射学评估提供了更多信息。CBCT 图像中的密度测量基于灰度值,在 CT 中更准确,并且这些值在不同的 CBCT 机器之间不一致。因此,我们旨在标准化单个 CBCT 扫描仪,以从灰度值评估或确定组织密度。
本研究共纳入 8 个完整干燥的山羊下颌骨半体。使用 KODAK CBCT 仪和 PHILLIPS CT 机分别对骨骼进行扫描。使用 Radiant Dicom viewer 分别在 CT 扫描和 CBCT 扫描上的 96 个点评估密度。将获得的数据输入电子表格并进行统计分析。
从每个 CBCT 扫描中获得灰度值。与 CBCT 扫描上相同点相对应的 CT 图像计算出 Hounsfield 单位。收集的数据进行线性回归分析,并得出一个方程,用于从 CBCT 灰度值确定 Hounsfield 单位(计算的 HU 单位)。我们发现原始 HU 单位的平均值和计算的 HU 单位的平均值之间没有显著差异,因此该方程可用于从 CBCT 灰度值计算 HU 单位,是可靠的。
我们的结果表明,该技术有效地计算了使用 CBCT 扫描灰度标准的组织原始密度。