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Dolphin基于体素的三维叠加的精度和可靠性。

Precision and reliability of Dolphin 3-dimensional voxel-based superimposition.

作者信息

Bazina Mohamed, Cevidanes Lucia, Ruellas Antonio, Valiathan Manish, Quereshy Faisal, Syed Ali, Wu Rongning, Palomo J Martin

机构信息

Department of Orthodontics, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio.

Department of Orthodontics and Pediatric Dentistry, School of Dental Medicine, University of Michigan, Ann Arbor, Mich.

出版信息

Am J Orthod Dentofacial Orthop. 2018 Apr;153(4):599-606. doi: 10.1016/j.ajodo.2017.07.025.

Abstract

INTRODUCTION

Superimposition of 2 cone-beam computed tomography images is possible by using landmarks, surfaces, or density information (voxel-based). Voxel-based superimposition is automated and uses the most image content, providing accurate results. Until recently, this superimposition was extremely laborious, but a user-friendly voxel-based superimposition has recently been introduced. Our aim was to evaluate the precision and reliability of Dolphin 3-dimensional voxel-based superimposition (Dolphin Imaging, Chatsworth, Calif).

METHODS

This was a retrospective study using existing scans of 31 surgical orthodontic patients with a mean age of 21 ± 8 years (range, 15-47 years). Each patient had a presurgical and a postsurgical scan taken within 12 months. Surgical patients were used since the reference area for superimposition was not affected by growth or surgical procedures. The volumes were superimposed using voxel-based methods from Dolphin Imaging and a tested method used previously. This method uses 2 open-source programs and takes about 3 hours to complete, whereas the Dolphin method takes under 5 minutes. The postsurgical scan was superimposed on the presurgical scan at the cranial base. Postsurgical registrations for both methods were compared with each other using the absolute closest point color map, with emphasis on 7 regions (nasion, A-point, B-point, bilateral zygomatic arches, and bilateral gonions).

RESULTS

Intraclass correlations showed excellent reliability (0.96). The mean differences between the 2 methods were less than 0.21 mm (voxel size, 0.38). The smallst difference was in the left zygomatic area at 0.09 ± 0.07 mm, and the largest was in the right gonial region at 0.21 ± 0.13 mm.

CONCLUSIONS

Dolphin 3-dimensional voxel-based superimposition, a fast and user-friendly method, is precise and reliable.

摘要

引言

通过使用标志物、表面或密度信息(基于体素),可以对两张锥形束计算机断层扫描图像进行叠加。基于体素的叠加是自动化的,并且利用了最多的图像内容,能提供准确的结果。直到最近,这种叠加都极其费力,但最近引入了一种用户友好的基于体素的叠加方法。我们的目的是评估Dolphin三维基于体素的叠加技术(Dolphin Imaging,加利福尼亚州查茨沃思)的精度和可靠性。

方法

这是一项回顾性研究,使用了31例外科正畸患者的现有扫描数据,这些患者的平均年龄为21±8岁(范围为15 - 47岁)。每位患者在12个月内进行了术前和术后扫描。之所以使用外科手术患者,是因为叠加的参考区域不受生长或手术操作的影响。使用Dolphin Imaging基于体素的方法和之前测试过的一种方法对体积进行叠加。该方法使用两个开源程序,大约需要3小时完成,而Dolphin方法所需时间不到5分钟。将术后扫描图像叠加在颅底的术前扫描图像上。使用绝对最接近点颜色图对两种方法的术后配准进行相互比较,重点关注7个区域(鼻根点、A点、B点、双侧颧弓和双侧下颌角)。

结果

组内相关性显示出极佳的可靠性(0.96)。两种方法之间的平均差异小于0.21毫米(体素大小为0.38)。最小差异出现在左侧颧区,为0.09±0.07毫米,最大差异出现在右侧下颌角区域,为0.21±0.13毫米。

结论

Dolphin三维基于体素的叠加技术是一种快速且用户友好的方法,精确且可靠。

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