Lehmann T M, Gröndahl H G, Benn D K
Institute of Medical Informatics, Aachen University of Technology (RWTH), Aachen, Germany.
Dentomaxillofac Radiol. 2000 Nov;29(6):323-46. doi: 10.1038/sj/dmfr/4600558.
(1) To review computerized a posteriori techniques for geometry and contrast registration prior to digital subtraction in dental radiography; (2) to define a uniform notation for their methodological and technical classification and based on this key code; (3) to derive criteria for successful application of computer-based a posteriori registration for routine clinical subtraction.
All techniques are classified with respect to the (1) dimension of geometry registration; (2) origin; (3) abstraction level, and (4) linkage of features used for registration of geometry; (5) elasticity; (6) domain, and (7) parameter determination of the geometrical transform used; (8) interaction of geometrical registration; as well as (9) origin of features, (10) model of transform, and (11) interaction of procedure for contrast correction.
With respect to clinical practicability, superior registration techniques are based on the low level abstraction of intrinsic features for both geometry and contrast registration. By approximately linking the features, a global projective transform should be generated for geometry registration by automatic methods, while automatic contrast correction should be non-parametric. This challenge is met only by one out of 36 published algorithms. Hence, although numerous computer-based techniques have been published, only a few of them are applied more than once in practice.
The key code proposed in this paper is useful for technical classification of a posteriori registration methods in dental radiography and allows their objective comparison. Further investigations will focus on standardization of practicable procedures to evaluate the robustness of competing methods.
(1)回顾牙科放射摄影中数字减影前用于几何形状和对比度配准的计算机后验技术;(2)为其方法和技术分类定义统一的符号表示,并基于此关键代码;(3)推导基于计算机的后验配准在常规临床减影中成功应用的标准。
所有技术根据以下方面进行分类:(1)几何形状配准的维度;(2)来源;(3)抽象级别;(4)用于几何形状配准的特征的链接;(5)弹性;(6)域;(7)所使用的几何变换的参数确定;(8)几何形状配准的相互作用;以及(9)特征的来源;(10)变换模型;(11)对比度校正程序的相互作用。
就临床实用性而言, superior配准技术基于对几何形状和对比度配准的内在特征的低级别抽象。通过近似链接特征,应通过自动方法为几何形状配准生成全局投影变换,而自动对比度校正应为非参数的。在已发表的36种算法中,只有一种算法能满足这一挑战。因此,尽管已经发表了许多基于计算机的技术,但实际上只有少数技术被多次应用。
本文提出的关键代码有助于对牙科放射摄影中的后验配准方法进行技术分类,并允许对其进行客观比较。进一步的研究将集中在可行程序的标准化上,以评估竞争方法的稳健性。