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Hippocampus Localization Guided by Coherent Point Drift Registration Using Assembled Point Set

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Hybrid Artificial Intelligent Systems (HAIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8073))

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Abstract

This paper presents a new approach for hippocampus localization using pairwise non-rigid Coherent Point Drift registration method. The concept of assembled point set is introduced, which is a combination of the available training point sets into a single data space that represents its distribution. Non-rigid Coherent Point Drift is then adapted to register the assembled point set with a randomly chosen base model for hippocampus localization. The primary focus of this work is on the computational intensiveness of the localization approach, in which the proposed localization approach using assembled point set is compared with an existing groupwise non-rigid Coherent Point Drift (GCPD) approach. The computation intensiveness of the proposed approach grows at a quadratic rate as compared with GCPD that grows at a cubic rate. The proposed approach is validated with hippocampus localization task using 40-datasets. The Root Mean Square (RMS) distance between the approximated hippocampus locations and the ground truth is within an acceptable average of 0.6957-mm.

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Authors and Affiliations

  1. Computer Vision Research Lab, School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia

    Anusha Achuthan, Mandava Rajeswari & Win Mar @ Salmah Jalaluddin

Authors
  1. Anusha Achuthan
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  2. Mandava Rajeswari
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  3. Win Mar @ Salmah Jalaluddin
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios M. Polycarpou

  3. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  4. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    André C. P. L. F. de Carvalho

  5. University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Héctor Quintián  & Emilio Corchado  & 

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Achuthan, A., Rajeswari, M., Jalaluddin, W.M.@.S. (2013). Hippocampus Localization Guided by Coherent Point Drift Registration Using Assembled Point Set. In: Pan, JS., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2013. Lecture Notes in Computer Science(), vol 8073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40846-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-40846-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40845-8

  • Online ISBN: 978-3-642-40846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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