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Structural Matching of Control Points Using V-D-L-A Approach for MLS Based Registration of Brain MRI/CT Images and Image Graph Construction Using Minimum Radial Distance

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Intelligent Systems Technologies and Applications (ISTA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 683))

Abstract

Image registration using Moving Least Squares (MLS) is a point based method and requires the selection of control points from the source and target images. The selected points need not necessarily be the corresponding points. These points have to be matched to identify the corresponding points between the two images. For this, a new structural method for control point matching method is proposed. For structural matching the control points are represented using a graph structure and the structural properties like the degree of the vertex, length of edges and the angle between edges are used for finding the corresponding points in the source image and the target image. This method is found to be efficient for both mono-modal and multi-modal image registrations, as the topological property represented by the control points are exploited instead of the traditional intensity feature. The accuracy of the registration is computed using the standard Target Registration Error (TRE) Measure and compared with the registration using Thin Plate Splines (TPS). This work also proposes a new approach for constructing image graphs called as Minimum-Radial Distance (MRD) method.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    Hema P. Menon & A. S. Nitheesh

Authors
  1. Hema P. Menon
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  2. A. S. Nitheesh
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Corresponding author

Correspondence to Hema P. Menon .

Editor information

Editors and Affiliations

  1. School of CS/IT, Indian Institute of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  3. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

    Jayanta Mukhopadhyay

  4. Xiamen University, Xiamen, China

    Kuan-Ching Li

  5. Department of Electrical and Electronic, Nazarbayev University, Astana, Kazakhstan

    Alex Pappachen James

  6. Dipartimento di Ingegneria, Università degli Studi di Firenze, Firenze, Italy

    Stefano Berretti

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Menon, H.P., Nitheesh, A.S. (2018). Structural Matching of Control Points Using V-D-L-A Approach for MLS Based Registration of Brain MRI/CT Images and Image Graph Construction Using Minimum Radial Distance. In: Thampi, S., Mitra, S., Mukhopadhyay, J., Li, KC., James, A., Berretti, S. (eds) Intelligent Systems Technologies and Applications. ISTA 2017. Advances in Intelligent Systems and Computing, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-319-68385-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-68385-0_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68384-3

  • Online ISBN: 978-3-319-68385-0

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