The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 213–219, 2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 213–219, 2017

  10 May 2017

10 May 2017


E. Nocerino1, F. Menna1, F. Remondino1, S. Sarubbo2, A. De Benedictis3, F. Chioffi2, V. Petralia2, M. Barbareschi4, E. Olivetti5,6, and P. Avesani5,6 E. Nocerino et al.
  • 13D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
  • 2Division of Neurosurgery, Structural and Functional Connectivity Lab, S. Chiara Hospital, Trento, Italy
  • 3Neurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Roma, Italy
  • 4Department of Histopathology, S. Chiara Hospital, Trento, Italy
  • 5Neuroinformatics Laboratory (NILab), Bruno Kessler Foundation (FBK), Trento, Italy
  • 6Center for Mind/Brain Science (CIMeC), University of Trento, Trento, Italy

Keywords: Photogrammetry, Dense Image Matching, Non-rigid body comparison, Depth of field, Brain anatomy, Brain connectivity, White matter dissection

Abstract. This paper presents an on-going interdisciplinary collaboration to advance brain connectivity studies. Despite the evolution of noninvasive methods to investigate the brain connectivity structure using the diffusion magnetic resonance, in the neuroscientific community there is an open debate how to collect quantitative information of the main neuroanatomical tracts. Information on the structure and main pathways of brain’s white matter are generally derived by manual dissection of the brain ex-vivo. This paper wants to present a photogrammetric method developed to support the collection of metric information of the main pathways, or set of fibres, of the white matter of brain. For this purpose, multi-temporal photogrammetric acquisitions, with a resolution better than 100 microns, are performed at different stages of the brain’s dissection, and the derived dense point clouds are used to annotate the stem, i.e., the region where there is a greater density of fibres of a given pathway, and termination points of several neuroanatomical tracts, i.e. fibres.