Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 213-219, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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 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.
Conference paper (PDF, 1519 KB)

Citation: Nocerino, E., Menna, F., Remondino, F., Sarubbo, S., De Benedictis, A., Chioffi, F., Petralia, V., Barbareschi, M., Olivetti, E., and Avesani, P.: APPLICATION OF PHOTOGRAMMETRY TO BRAIN ANATOMY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 213-219,, 2017.

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