ABSTRACT
In Chapter 17 we showed that similarity shape analysis can be used for de-
tection of glaucomatous change from Heidelberg Retina Tomograph (HRT)
outputs. It would be nevertheless useful to have a simple geometric marker for
detection of the glaucoma onset. Such a measurement, called glaucoma index
was developed in Derado et al (2004) [82] for HRT data in animal models.
This index, which is presented in Section 24.3 was considered by glaucoma
experts (see Sanfilippo et al. (2009) [312], Hawker et al. (2007) [144]). One
of the problems is that HRT like devices are quite expensive, therefore only a
few medical cabinets have them available. For this reason, a different metho-
dology for glaucoma detection, based on inexpensive imaging technology had
to be considered as well. That methodology is developed in this chapter (also
see Crane and Patrangenaru (2011)[78]). The afferent statistical analysis is on
the projective shape space of k-ads in 3D (RP3)k−5, which has a Lie group structure (see Section 10.5).
