Elsevier

Computers & Geosciences

Volume 37, Issue 9, September 2011, Pages 1364-1371
Computers & Geosciences

Solid modeling of fossil small mammal teeth

https://doi.org/10.1016/j.cageo.2010.07.011Get rights and content

Abstract

This paper presents an approach to create solid models of fossil small mammal teeth using a combination of microcomputed tomography, object based image analysis and voxel modeling. Small mammal teeth, because of their durability, are widely found in Cenozioc sediments the world over and play a key role in stratigraphy as well as in researching the rapid evolution and the paleogeographic spreading of small mammals. Recent advances in microcomputed tomography make this non-destructive analysis method an ideal data source for high-resolution 3D models of fossil small animal teeth. To derive internally consistent solid models of such fossils from micro-CT imagery, we propose a combination of 3D object based image analysis and solid modeling. Incorporating paleontological expert knowledge in the image processing cycle, object based image analysis yields topologically consistent image stacks classified by the main tooth components—enamel, dentine and pulp. Forwarding these data to a voxel modeling system, they can be quantitatively analyzed in an unprecedented manner: going beyond the possibilities of the state-of-art surface models, solid models are capable of unambiguously portraying the entire object volume—teeth can be peeled by material properties, subvolumes can be extracted and automatically analyzed by Boolean operations. The proposed method, which can be flexibly extended to handle a range of paleontological and geological micro-objects, is demonstrated with two typical fossil small mammal teeth.

Section snippets

Introduction and paleontological background

Being the most resistant parts of mammal skeletons, teeth frequently provide the sole record of fossil species: when bones have already been destroyed, teeth can still be found. The mammal tooth consists of root(s) and crown. The root anchors the tooth in the jaw, and the crown is adapted to various chewing mechanisms, to cutting, crushing or grinding of food. Enamel, the shiny material covering the dentine part of the crown is the hardest tissue a vertebrate body can produce. It protects the

SMT fossils

A set of six low and high crowned molar teeth (average length 2 mm) from upper Miocene small mammals was selected to check the potential of μCT for SMT analysis. From this set, we chose two samples: a second lower molar of Microtocricetus molassicus and a first upper molar of Vasseuromys pannonicus from the Upper Miocene of Austria. The dormouse Vasseuromys represents the typical lophodont and brachyodont glirid-dental pattern which persisted almost unchanged from the Eocene to the present.

Summary

In this article, we have presented a combination of micro-computed tomography, object based image analysis and solid modeling for the comprehensive portrayal of the internal architecture of fossil small mammal teeth. μCT as an inherently three-dimensional, rapid and destruction-free analysis method outputs stacks of high-resolution grey level images. To pave the way to consistent 3D solid models of SMT, the partially noisy μCT images with abundant artifacts are processed by OBIA, incorporating

References (25)

  • Gingerich, P.D., 2003. Mammalian responses to climate change at the Paleocene-Eocene boundary Polecat Bench record in...
  • C. Haenschel et al.

    The corpus callosum in schizophrenia—volume and connectivity changes affect specific regions

    NeuroImage

    (2008)
  • Cited by (8)

    • 3D-modeling of deformed halite hopper crystals by object based image analysis

      2014, Computers and Geosciences
      Citation Excerpt :

      Additionally, topological relationships among the objects like neighborhoods, distances and spatial connections can be used to classify and analyze objects. From a geosciences perspective, the scope of OBIA has been extended from 2D remote sensing data to macro- and micro-image analysis (Marschallinger and Hofmann, 2010; Hofmann et al., 2013), 3D object reconstruction (Schönmayer et al., 2006; Marschallinger et al. 2011; Heidrich et al., 2013) and analysis of 3D laser scanner data of the earth surface (Tiede et al., 2006). Most of the above examples are based on the so-called Definiens Cognition Network Technology (Athelogou et al., 2007; Haenschel et al., 2008) which uses the Cognition Network Language (CNL) for the development of rule-sets and automated image analysis.

    • Computed reconstruction of spatial ammonoid-shell orientation captured from digitized grinding and landmark data

      2014, Computers and Geosciences
      Citation Excerpt :

      The application of 3D-visualization on different kinds of objects and in different scientific fields has increased enormously. Since Sollas (1903) introduced the method of serial sectioning within his work on Therapsida and Lysorophia (Camp and Hanna, 1937), 3D-visualization has been adapted for a wide field of paleontological studies (e.g., VanderHoof, 1931; Simpson, 1933; Koslowski, 1932; Stensiö, 1927; Fourie, 1974; Conroy and Vannier, 1984; Ketcham and Carlson, 2001; Marschallinger, 2001, 2011; Dockner, 2006; Sutton, 2008; Garwood et al., 2010; Briguglio et al., 2011; Kruta et al., 2011; Lukeneder, 2012). The most obvious method used for digitization today is computed tomography (CT) with all its derivatives (e.g., macro-CT, µ-CT, nano-CT, etc.).

    • Computed 3D visualisation of an extinct cephalopod using computer tomographs

      2012, Computers and Geosciences
      Citation Excerpt :

      Laser scanning (airborne, terrestrial or desktop scanners) of surface morphology, point cloud data generated from digital images, or computed tomography down to a few microns (or even smaller) of spatial resolution are increasingly employed for geoscientific investigations, using an equally variable range of processing techniques and software packages. Numerous papers (e.g. Marschallinger, 2001; Maloof et al., 2010; Mayrhofer and Lukeneder, 2010; Kruta et al., 2011; Marschallinger et al., 2011; Lukeneder and Lukeneder, 2011; Saupe et al., 2012) show the multitude of applications of 3D geometrical models in palaeontological studies. The great variability, the wide range of applications and the analytical techniques in the fossil record are demonstrated for dinosaurs (Rayfield et al., 2001, 2007; Balanoff et al., 2008; Witmer and Ridgely, 2009; Fortuny et al., 2011; Tsuihiji et al., 2011; Knoll et al., 2012), lizards (Polcyn et al., 2002), birds (Rowe et al., 2001; Degrange et al., 2010; Zelenitsky et al., 2011), fishes (Gai et al., 2011), mammals (Luo et al., 2002), molluscs (Hoffmann and Zachow, 2011), brachiopods (Gaspard et al., 2011), plants (Friis et al., 2007; Scott et al., 2009), algal or acritarch fossils (Cunningham et al., 2012), and protists (Donoghue et al., 2006; Dong et al., 2010; Huldtgren et al., 2011).

    • MicroCT-scans of fossil micromammal teeth: Re-defining hypsodonty and enamel proportion using true volume

      2011, Palaeogeography, Palaeoclimatology, Palaeoecology
      Citation Excerpt :

      In this paper we focus on gross enamel volume, firstly, because average thickness and overall proportion is supposed to have a general relation to food nutritional value in broad groups such as micromammals, secondly because it is more easy to quantify and thirdly, because it is applicable to almost all types of mammal molars, so that it can easily be averaged across higher taxa and communities. With the increased use of modern three-dimensional recording techniques such as X-ray Computed Tomography (CT), including high-resolution microCT (Ketcham and Carlson, 2001; Tafforeau et al., 2006), and advanced software to manipulate and analyze 3D data structures, the visualization and geometrical analysis of teeth has become more and more straightforward (Jernvall and Selänne, 1999; Kono, 2004; Evans et al., 2007; Lazzari et al., 2008; Olejniczak et al., 2008; Marschallinger et al., 2011). As far as we know, these developments have not yet resulted in an upgrade of the hypsodonty index.

    View all citing articles on Scopus
    View full text