Trochesset Denise A, Serchuk Richard B, Colosi Dan C
Department of Oral Biology and Pathology, Stony Brook University School of Dental Medicine, Stony Brook, NY, 11794-8702.
J Forensic Sci. 2014 Mar;59(2):510-3. doi: 10.1111/1556-4029.12336. Epub 2013 Dec 13.
Identification of unknown individuals using dental comparison is well established in the forensic setting. The identification technique can be time and resource consuming if many individuals need to be identified at once. Medical CT (MDCT) for dental profiling has had limited success, mostly due to artifact from metal-containing dental restorations and implants.
The authors describe a CBCT reformatting technique that creates images, which closely approximate conventional dental images.
Using a i-CAT Platinum CBCT unit and standard issue i-CAT Vision software, a protocol is developed to reproducibly and reliably reformat CBCT volumes. The reformatted images are presented with conventional digital images from the same anatomic area for comparison.
The authors conclude that images derived from CBCT volumes following this protocol are similar enough to conventional dental radiographs to allow for dental forensic comparison/identification and that CBCT offers a superior option over MDCT for this purpose.
在法医领域，使用牙齿比对来识别未知个体已得到充分确立。如果需要一次性识别许多个体，这种识别技术可能会耗费时间和资源。用于牙齿轮廓分析的医学CT（MDCT）取得的成功有限，主要是由于含金属的牙齿修复体和植入物产生的伪影。
作者描述了一种CBCT重新格式化技术，该技术可创建与传统牙科图像非常接近的图像。
使用i-CAT Platinum CBCT设备和标准发行的i-CAT Vision软件，制定了一种协议，以可重复且可靠地重新格式化CBCT容积。将重新格式化的图像与来自相同解剖区域的传统数字图像一起呈现以进行比较。
作者得出结论，按照该协议从CBCT容积中获取的图像与传统牙科X线片足够相似，可用于牙齿法医比对/识别，并且为此目的，CBCT比MDCT提供了更好的选择。
