Morphometric analysis of human corneal endothelium by means of spatial point patterns

被引:9
作者
Domingo, J
Ayala, G
Díaz, ME
机构
[1] Univ Valencia, Inst Robotica, Paterna 46071, Spain
[2] Univ Valencia, Dept Informat, Burjassot 46100, Spain
[3] Univ Valencia, Dept Estadistica & Investgac Operat, Burjassot 46100, Spain
关键词
spatial point processes; corneal endothelium; point pattern descriptors; early diagnosis;
D O I
10.1142/S0218001402001605
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a method for detecting abnormalities in spatial arrangements of cells within any tissue that can be described by different sets of relevant points. The method has been applied to the detection of subtle abnormalities in corneal endothelia. Images of this type of tissue can be characterized by two types of points: cell centroids and triple points associated with the apical intersections as it was proposed by Diaz.(7) Both types of points jointly considered are modeled using a bivariate spatial point process; then a statistical analysis based on certain distributional descriptors proposed by Doguwa(4,9) is carried out to discriminate severe and subtle abnormalities from controls. According to the results, the method constitutes a valid alternative to currently used techniques, which involve statistical descriptions of cell density, cell area and hexagonality, that fail in the detection of these subtle abnormalities.
引用
收藏
页码:127 / 143
页数:17
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